Micrograph segmentations for DDEVD

2023/04/05 by Alexander M. Kirillov, Eric Mintun, Kirillov, Alexander +21 · 1171 citations
Computer Science · Medicine · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Visual Attention and Saliency Detection

paper · pdf · doi:10.48550/arxiv.2304.02643

openalex publication_date 2023/04/05 · openalex created_date 2023/04/07 · openalex updated_date 2026/07/28

Abstract

A dataset of segmented images of refractory metal micrographs segmented using SAM and cleaned to not contain micrograph boundaries. No cleaning of the SAM segmentations has been done at this stage.

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• Constructing and Interpreting Digital Twin Representations for Visual Reasoning via Reinforcement Learning
• MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images
• Enhancing XR Auditory Realism via Multimodal Scene-Aware Acoustic Rendering
• Draft and Refine with Visual Experts
• Binary Verification for Zero-Shot Vision
• Unveiling the Impact of Data and Model Scaling on High-Level Control for Humanoid Robots
• MSGNav: Unleashing the Power of Multi-modal 3D Scene Graph for Zero-Shot Embodied Navigation
• AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models
• PriVi: Towards A General-Purpose Video Model For Primate Behavior In The Wild
• VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics
• LayerEdit: Disentangled Multi-Object Editing via Conflict-Aware Multi-Layer Learning
• LandSegmenter: Towards a Flexible Foundation Model for Land Use and Land Cover Mapping
• High-Quality Proposal Encoding and Cascade Denoising for Imaginary Supervised Object Detection
• Exploring the Underwater World Segmentation without Extra Training
• ZeroSim: Zero-Shot Analog Circuit Evaluation with Unified Transformer Embeddings
• CAVER: Curious Audiovisual Exploring Robot
• Adaptation of Foundation Models for Medical Image Analysis: Strategies, Challenges, and Future Directions
• Glioma C6: A Novel Dataset for Training and Benchmarking Cell Segmentation
• Semi-supervised Shelter Mapping for WASH Accessibility Assessment in Rohingya Refugee Camps
• ProcGen3D: Learning Neural Procedural Graph Representations for Image-to-3D Reconstruction
• CenterMamba-SAM: Center-Prioritized Scanning and Temporal Prototypes for Brain Lesion Segmentation
• From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge
• DTTNet: Improving Video Shadow Detection via Dark-Aware Guidance and Tokenized Temporal Modeling
• NOVO: Bridging LLaVA and SAM with Visual-only Prompts for Reasoning Segmentation
• DIAL-GS: Dynamic Instance Aware Reconstruction for Label-free Street Scenes with 4D Gaussian Splatting
• FlowFeat: Pixel-Dense Embedding of Motion Profiles
• Leveraging Text-Driven Semantic Variation for Robust OOD Segmentation
• A Two-Stage System for Layout-Controlled Image Generation using Large Language Models and Diffusion Models
• Inpaint360GS: Efficient Object-Aware 3D Inpainting via Gaussian Splatting for 360° Scenes
• SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images
• Training-Free Adaptive Quantization for Variable Rate Image Coding for Machines
• VLAD-Grasp: Zero-shot Grasp Detection via Vision-Language Models
• Towards Better Ultrasound Video Segmentation Foundation Model: An Empirical study on SAM2 Finetuning from Data Perspective
• How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
• FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction
• Walk the Lines 2: Contour Tracking for Detailed Segmentation
• SIL: Symbiotic Interactive Learning for Language-Conditioned Human-Agent Co-Adaptation
• Let Me Show You: Learning by Retrieving from Egocentric Video for Robotic Manipulation
• Real-World Adverse Weather Image Restoration via Dual-Level Reinforcement Learning with High-Quality Cold Start
• Tracking and Understanding Object Transformations
• Landslide Hazard Mapping with Geospatial Foundation Models: Geographical Generalizability, Data Scarcity, and Band Adaptability
• Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification
• Learning-based Cooperative Robotic Paper Wrapping: A Unified Control Policy with Residual Force Control
• Accelerating Physical Property Reasoning for Augmented Visual Cognition
• MIQ-SAM3D: From Single-Point Prompt to Multi-Instance Segmentation via Competitive Query Refinement
• Zero-Shot Multi-Animal Tracking in the Wild
• Keeping it Local, Tiny and Real: Automated Report Generation on Edge Computing Devices for Mechatronic-Based Cognitive Systems
• OLATverse: A Large-scale Real-world Object Dataset with Precise Lighting Control
• From the Laboratory to Real-World Application: Evaluating Zero-Shot Scene Interpretation on Edge Devices for Mobile Robotics
• RxnCaption: Reformulating Reaction Diagram Parsing as Visual Prompt Guided Captioning
• In-Context Adaptation of VLMs for Few-Shot Cell Detection in Optical Microscopy
• From Instance Segmentation to 3D Growth Trajectory Reconstruction in Planktonic Foraminifera
• UniChange: Unifying Change Detection with Multimodal Large Language Model
• Anatomically Constrained Transformers for Echocardiogram Analysis
• VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel
• RefVTON: person-to-person Try on with Additional Unpaired Visual Reference
• Deep Generative Models for Enhanced Vitreous OCT Imaging
• Class-agnostic 3D Segmentation by Granularity-Consistent Automatic 2D Mask Tracking
• Benchmarking individual tree segmentation using multispectral airborne laser scanning data: the FGI-EMIT dataset
• MIFO: Learning and Synthesizing Multi-Instance from One Image
• Saliency-R1: Incentivizing Unified Saliency Reasoning Capability in MLLM with Confidence-Guided Reinforcement Learning
• SegDebias: Test-Time Bias Mitigation for ViT-Based CLIP via Segmentation
• HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation
• LGCA: Enhancing Semantic Representation via Progressive Expansion
• MapSAM2: Adapting SAM2 for Automatic Segmentation of Historical Map Images and Time Series
• FMint-SDE: A Multimodal Foundation Model for Accelerating Numerical Simulation of SDEs via Error Correction
• A Step Toward World Models: A Survey on Robotic Manipulation
• BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing
• DM-QPMNET: Dual-modality fusion network for cell segmentation in quantitative phase microscopy
• AD-SAM: Fine-Tuning the Segment Anything Vision Foundation Model for Autonomous Driving Perception
• SAMRI: Segment Anything Model for MRI
• SpinalSAM-R1: A Vision-Language Multimodal Interactive System for Spine CT Segmentation
• Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology
• ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
• Self-localization on a 3D map by fusing global and local features from a monocular camera
• FullPart: Generating each 3D Part at Full Resolution
• FlexICL: A Flexible Visual In-context Learning Framework for Elbow and Wrist Ultrasound Segmentation
• AutoSurvey2: Empowering Researchers with Next Level Automated Literature Surveys
• Fine-tuning Segment Anything for Real-Time Tumor Tracking in Cine-MRI
• SPEAR: A Unified SSL Framework for Learning Speech and Audio Representations
• STITCH 2.0: Extending Augmented Suturing with EKF Needle Estimation and Thread Management
• Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks
• ROGR: Relightable 3D Objects using Generative Relighting
• Instruction-based image editing: a survey on data, models, evaluation, and applications
• MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities
• WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps
• Domain Generalization for Semantic Segmentation: A Survey
• GAS-MIL: Group-Aggregative Selection Multi-Instance Learning for Ensemble of Foundation Models in Digital Pathology Image Analysis
• Advancing marine microplastic monitoring through deep learning-based image segmentation
• Unlimited OCR Works
• Scene-Centric Unsupervised Video Panoptic Segmentation
• SpectraDINO: Modality-Conditioned Adaptation of RGB Vision Foundation Models Across Infrared Bands
• Prototype-Grounded Concept Models for Verifiable Concept Alignment
• TiPToP: A Modular Open-Vocabulary Robot Manipulation System That Plans
• PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement
• Instance-Aware Pseudo-Labeling and Class-Focused Contrastive Learning for Weakly Supervised Domain Adaptive Segmentation of Electron Microscopy
• Promptable Fire Segmentation: Unleashing SAM2's Potential for Real-Time Mobile Deployment with Strategic Bounding Box Guidance
• Quantification of plant trait data from herbarium scans in the DiSSCo Research Infrastructure
• Cataract-LMM: Large-Scale, Multi-Source, Multi-Task Benchmark for Deep Learning in Surgical Video Analysis
• LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation
• Aligning What You Separate: Denoised Patch Mixing for Source-Free Domain Adaptation in Medical Image Segmentation
• EA3D: Online Open-World 3D Object Extraction from Streaming Videos
• AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians
• UP2D: Uncertainty-aware Progressive Pseudo-label Denoising for Source-Free Domain Adaptive Medical Image Segmentation
• SAGE: Structure-Aware Generative Video Transitions between Diverse Clips
• Advancing site-specific disease and pest management in precision agriculture: From reasoning-driven foundation models to adaptive, feedback-based learning
• Generative AI for Healthcare: Fundamentals, Challenges, and Perspectives
• REALM: An MLLM-Agent Framework for Open World 3D Reasoning Segmentation and Editing on Gaussian Splatting
• Kernelized Sparse Fine-Tuning with Bi-level Parameter Competition for Vision Models
• Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2
• LagMemo: Language 3D Gaussian Splatting Memory for Multi-modal Open-vocabulary Multi-goal Visual Navigation
• Enhancing Pre-trained Representation Classifiability can Boost its Interpretability
• PlanarGS: High-Fidelity Indoor 3D Gaussian Splatting Guided by Vision-Language Planar Priors
• RefAtomNet++: Advancing Referring Atomic Video Action Recognition using Semantic Retrieval based Multi-Trajectory Mamba
• RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation
• Proactive Scene Decomposition and Reconstruction
• Explicit Memory through Online 3D Gaussian Splatting Improves Class-Agnostic Video Segmentation
• On the Faithfulness of Visual Thinking: Measurement and Enhancement
• USF-MAE: Ultrasound Self-Supervised Foundation Model with Masked Autoencoding
• Survey of Multimodal Geospatial Foundation Models: Techniques, Applications, and Challenges
• Gen-LangSplat: Generalized Language Gaussian Splatting with Pre-Trained Feature Compression
• Understanding What Is Not Said:Referring Remote Sensing Image Segmentation with Scarce Expressions
• Cross-view Localization and Synthesis -- Datasets, Challenges and Opportunities
• Optimal Spatial Anomaly Detection
• Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
• REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
• FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning
• OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields
• Why Registration Quality Matters: Enhancing sCT Synthesis with IMPACT-Based Registration
• TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection
• Controllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Experts
• Chain of Execution Supervision Promotes General Reasoning in Large Language Models
• BioDet: Boosting Industrial Object Detection with Image Preprocessing Strategies
• Towards Label-Free Brain Tumor Segmentation: Unsupervised Learning with Multimodal MRI
• Video-As-Prompt: Unified Semantic Control for Video Generation
• ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
• AutoScape: Geometry-Consistent Long-Horizon Scene Generation
• GranViT: A Fine-Grained Vision Model With Autoregressive Perception For MLLMs
• Deep Learning Based Domain Adaptation Methods in Remote Sensing: A Comprehensive Survey
• HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models
• PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
• Seeing the Unseen: Mask-Driven Positional Encoding and Strip-Convolution Context Modeling for Cross-View Object Geo-Localization
• COS3D: Collaborative Open-Vocabulary 3D Segmentation
• Monocular Visual 8D Pose Estimation for Articulated Bicycles and Cyclists
• Fake-in-Facext: Towards Fine-Grained Explainable DeepFake Analysis
• Dino-Diffusion Modular Designs Bridge the Cross-Domain Gap in Autonomous Parking
• Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
• Mitigating Cross-modal Representation Bias for Multicultural Image-to-Recipe Retrieval
• Curvilinear Structure-preserving Unpaired Cross-domain Medical Image Translation
• Latent Space Factorization in LoRA
• Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation
• [De|Re]constructing VLMs' Reasoning in Counting
• Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
• A Training-Free Framework for Open-Vocabulary Image Segmentation and Recognition with EfficientNet and CLIP
• Unified Reinforcement and Imitation Learning for Vision-Language Models
• Advances in 4D Representation: Geometry, Motion, and Interaction
• Face-MakeUpV2: Facial Consistency Learning for Controllable Text-to-Image Generation
• Seg the HAB: Language-Guided Geospatial Algae Bloom Reasoning and Segmentation
• RayPose: Ray Bundling Diffusion for Template Views in Unseen 6D Object Pose Estimation
• Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection
• Automated urban waterlogging assessment and early warning through a mixture of foundation models
• OpenInsGaussian: Open-vocabulary Instance Gaussian Segmentation with Context-aware Cross-view Fusion
• EVER: Edge-Assisted Auto-Verification for Mobile MR-Aided Operation
• EMA-SAM: Exponential Moving-average for SAM-based PTMC Segmentation
• RadDiagSeg-M: A Vision Language Model for Joint Diagnosis and Multi-Target Segmentation in Radiology
• SAM 2++: Tracking Anything at Any Granularity
• Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs
• DeepSeek-OCR: Contexts Optical Compression
• Kaleido: Open-Sourced Multi-Subject Reference Video Generation Model
• Botany-Bot: Digital Twin Monitoring of Occluded and Underleaf Plant Structures with Gaussian Splats
• Accelerating Vision Transformers with Adaptive Patch Sizes
• Morphology-Aware KOA Classification: Integrating Graph Priors with Vision Models
• Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging
• Towards 3D Objectness Learning in an Open World
• Intelligent Communication Mixture-of-Experts Boosted-Medical Image Segmentation Foundation Model
• Semantic-E2VID: a Semantic-Enriched Paradigm for Event-to-Video Reconstruction
• From Pixels to People: Satellite-Based Mapping and Quantification of Riverbank Erosion and Lost Villages in Bangladesh
• GSPlane: Concise and Accurate Planar Reconstruction via Structured Representation
• AION-1: Omnimodal Foundation Model for Astronomical Sciences
• Optimizing DINOv2 with Registers for Face Anti-Spoofing
• Segmentation as A Plug-and-Play Capability for Frozen Multimodal LLMs
• Personalized Image Filter: Mastering Your Photographic Style
• Geospatial Machine Learning Libraries
• Experience-Driven Exploration for Efficient API-Free AI Agents
• BLIP3o-NEXT: Next Frontier of Native Image Generation
• Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt
• StretchySnake: Flexible SSM Training Unlocks Action Recognition Across Spatio-Temporal Scales
• MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning
• ChangingGrounding: 3D Visual Grounding in Changing Scenes
• DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models
• Multi-modal video data-pipelines for machine learning with minimal human supervision
• VTimeCoT: Thinking by Drawing for Video Temporal Grounding and Reasoning
• Talking Points: Describing and Localizing Pixels
• Towards Generalist Intelligence in Dentistry: Vision Foundation Models for Oral and Maxillofacial Radiology
• MatchAttention: Matching the Relative Positions for High-Resolution Cross-View Matching
• Reinforcement Learning for Unsupervised Domain Adaptation in Spatio-Temporal Echocardiography Segmentation
• Salient Concept-Aware Generative Data Augmentation
• MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation
• Leveraging 2D Priors and SDF Guidance for Dynamic Urban Scene Rendering
• Prompt-based Adaptation in Large-scale Vision Models: A Survey
• CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation
• Scope: Selective Cross-modal Orchestration of Visual Perception Experts
• AnyUp: Universal Feature Upsampling
• GenCellAgent: Generalizable, Training-Free Cellular Image Segmentation via Large Language Model Agents
• Assessing the Potential for Catastrophic Failure in Dynamic Post-Training Quantization
• Unlocking Zero-Shot Plant Segmentation with Pl@ntNet Intelligence
• BEEP3D: Box-Supervised End-to-End Pseudo-Mask Generation for 3D Instance Segmentation
• G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior
• SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models
• Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation
• CurriFlow: Curriculum-Guided Depth Fusion with Optical Flow-Based Temporal Alignment for 3D Semantic Scene Completion
• Point Prompting: Counterfactual Tracking with Video Diffusion Models
• Inferring Dynamic Physical Properties from Video Foundation Models
• SNAP: Towards Segmenting Anything in Any Point Cloud
• Robust Ego-Exo Correspondence with Long-Term Memory
• When Does Supervised Training Pay Off? The Hidden Economics of Object Detection in the Era of Vision-Language Models
• Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer types
• CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning Segmentation
• MoMaps: Semantics-Aware Scene Motion Generation with Motion Maps
• XGrasp: Gripper-Aware Grasp Detection with Multi-Gripper Data Generation
• Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning
• More than A Point: Capturing Uncertainty with Adaptive Affordance Heatmaps for Spatial Grounding in Robotic Tasks
• High-Fidelity Speech Enhancement via Discrete Audio Tokens
• Real2USD: Scene Representations in Universal Scene Description Language
• Fast Vision in the Dark: A Case for Single-Photon Imaging in Planetary Navigation
• UniFlow: A Unified Pixel Flow Tokenizer for Visual Understanding and Generation
• Unified Open-World Segmentation with Multi-Modal Prompts
• FRIEREN: Federated Learning with Vision-Language Regularization for Segmentation
• MSM-Seg: A Modality-and-Slice Memory Framework with Category-Agnostic Prompting for Multi-Modal Brain Tumor Segmentation
• SAM2LoRA: Composite Loss-Guided, Parameter-Efficient Finetuning of SAM2 for Retinal Fundus Segmentation
• Sketch Animation: State-of-the-art Report
• SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation
• Color3D: Controllable and Consistent 3D Colorization with Personalized Colorizer
• Training-Free In-Context Forensic Chain for Image Manipulation Detection and Localization
• Tracking the Spatiotemporal Evolution of Landslide Scars Using a Vision Foundation Model: A Novel and Universal Framework
• Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning
• MIMO: A medical vision language model with visual referring multimodal input and pixel grounding multimodal output
• VG-Mapping: Variation-Aware 3D Gaussians for Online Semi-static Scene Mapping
• Explainable Human-in-the-Loop Segmentation via Critic Feedback Signals
• MemPromptTSS: Persistent Prompt Memory for Iterative Multi-Granularity Time Series State Segmentation
• J-RAS: Mutual Adaptation for Medical Image Segmentation via Contrastive Retrieval-Augmented Joint Optimization
• AFFORD2ACT: Affordance-Guided Automatic Keypoint Selection for Generalizable and Lightweight Robotic Manipulation
• Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs
• What Matters in RL-Based Methods for Object-Goal Navigation? An Empirical Study and A Unified Framework
• SSeg: Active Sparse Point-Label Augmentation for Semantic Segmentation
• An uncertainty-aware framework for data-efficient multi-view animal pose estimation
• Holistic Order Prediction in Natural Scenes
• Cell Instance Segmentation: The Devil Is in the Boundaries
• Few-shot multi-token DreamBooth with LoRa for style-consistent character generation
• Visibility-Aware Densification for 3D Gaussian Splatting in Dynamic Urban Scenes
• TARO: Toward Semantically Rich Open-World Object Detection
• SAM2-3dMed: Empowering SAM2 for 3D Medical Image Segmentation
• Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping
• A methodology for clinically driven interactive segmentation evaluation
• Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
• D-TPT: Dimensional Entropy Maximization for Calibrating Test-Time Prompt Tuning in Vision-Language Models
• Vision Language Models: A Survey of 26K Papers
• LTGS: Long-Term Gaussian Scene Chronology From Sparse View Updates
• MATRIX: Multimodal Agent Tuning for Robust Tool-Use Reasoning
• R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation
• Towards Precise Channel Knowledge Map: Exploiting Environmental Information from 2D Visuals to 3D Point Clouds
• Executable Analytic Concepts as the Missing Link Between VLM Insight and Precise Manipulation
• BLAZER: Bootstrapping LLM-based Manipulation Agents with Zero-Shot Data Generation
• Geometry-aware Policy Imitation
• VideoCanvas: Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning
• Temporal Prompting Matters: Rethinking Referring Video Object Segmentation
• TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking
• DADO: A Depth-Attention framework for Object Discovery
• HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
• Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications
• MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
• Extreme Amodal Face Detection
• Avi: Action from Volumetric Inference
• We Can Hide More Bits: The Unused Watermarking Capacity in Theory and in Practice
• SpotDiff: Spotting and Disentangling Interference in Feature Space for Subject-Preserving Image Generation
• Deforming Videos to Masks: Flow Matching for Referring Video Segmentation
• Efficient Universal Models for Medical Image Segmentation via Weakly Supervised In-Context Learning
• StereoSync: Spatially-Aware Stereo Audio Generation from Video
• ALISE: Annotation-Free LiDAR Instance Segmentation for Autonomous Driving
• TFM Dataset: A Novel Multi-task Dataset and Integrated Pipeline for Automated Tear Film Break-Up Segmentation
• HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video
• Human3R: Everyone Everywhere All at Once
• Diffusion Models for Low-Light Image Enhancement: A Multi-Perspective Taxonomy and Performance Analysis
• SegMASt3R: Geometry Grounded Segment Matching
• MoME: Estimating Psychological Traits from Gait with Multi-Stage Mixture of Movement Experts
• From Behavioral Performance to Internal Competence: Interpreting Vision-Language Models with VLM-Lens
• SPEGNet: Synergistic Perception-Guided Network for Camouflaged Object Detection
• VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing
• Spatially Grounded Concept-Based Image Classification
• Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images
• Seeing the Bigger Picture: 3D Latent Mapping for Mobile Manipulation Policy Learning
• UGround: Towards Unified Visual Grounding with Unrolled Transformers
• The Overlooked Value of Test-time Reference Sets in Visual Place Recognition
• Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models
• Dynamic Prompt Generation for Interactive 3D Medical Image Segmentation Training
• A Hybrid Co-Finetuning Approach for Visual Bug Detection in Video Games
• SAMSOD: Rethinking SAM Optimization for RGB-T Salient Object Detection
• CoT Referring: Improving Referring Expression Tasks with Grounded Reasoning
• Med-K2N: Flexible K-to-N Modality Translation for Medical Image Synthesis
• OTR: Synthesizing Overlay Text Dataset for Text Removal
• Fusing Multi- and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring with Self-Supervised and Hierarchical Deep Learning
• Visual Language Model as a Judge for Object Detection in Industrial Diagrams
• Dirichlet-Prior Shaping: Guiding Expert Specialization in Upcycled MoEs
• KeySG: Hierarchical Keyframe-Based 3D Scene Graphs
• ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning
• ProtoMask: Segmentation-Guided Prototype Learning
• Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement
• Robust Context-Aware Object Recognition
• Multi-level Dynamic Style Transfer for NeRFs
• Advances in Medical Image Segmentation: A Comprehensive Survey with a Focus on Lumbar Spine Applications
• Domain-Specialized Interactive Segmentation Framework for Meningioma Radiotherapy Planning
• Photorealistic Inpainting for Perturbation-based Explanations in Ecological Monitoring
• Solar PV Installation Potential Assessment on Building Facades Based on Vision and Language Foundation Models
• A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features
• Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Models
• Drones that Think on their Feet: Sudden Landing Decisions with Embodied AI
• Stitch: Training-Free Position Control in Multimodal Diffusion Transformers
• Query-Kontext: An Unified Multimodal Model for Image Generation and Editing
• Video Object Segmentation-Aware Audio Generation
• AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
• EasyOcc: 3D Pseudo-Label Supervision for Fully Self-Supervised Semantic Occupancy Prediction Models
• SGS: Segmentation-Guided Scoring for Global Scene Inconsistencies
• Learning Egocentric In-Hand Object Segmentation through Weak Supervision from Human Narrations
• A Multi-purpose Tracking Framework for Salmon Welfare Monitoring in Challenging Environments
• Kairos: Towards Adaptive and Generalizable Time Series Foundation Models
• Adapting SAM with Dynamic Similarity Graphs for Few-Shot Parameter-Efficient Small Dense Object Detection: A Case Study of Chickpea Pods in Field Conditions
• DescribeEarth: Describe Anything for Remote Sensing Images
• PinPoint3D: Fine-Grained 3D Part Segmentation from a Few Clicks
• FishNet++: Analyzing the capabilities of Multimodal Large Language Models in marine biology
• LayerD: Decomposing Raster Graphic Designs into Layers
• Social 3D Scene Graphs: Modeling Human Actions and Relations for Interactive Service Robots
• Evaluation of Polarimetric Fusion for Semantic Segmentation in Aquatic Environments
• CORE-3D: Context-aware Open-vocabulary Retrieval by Embeddings in 3D
• Instruction Guided Multi Object Image Editing with Quantity and Layout Consistency
• RapidMV: Leveraging Spatio-Angular Representations for Efficient and Consistent Text-to-Multi-View Synthesis
• Mask Clustering-based Annotation Engine for Large-Scale Submeter Land Cover Mapping
• TP-MVCC: Tri-plane Multi-view Fusion Model for Silkie Chicken Counting
• Multimodal Large Language Models Meet Multimodal Emotion Recognition and Reasoning: A Survey
• Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers
• Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
• BALR-SAM: Boundary-Aware Low-Rank Adaptation of SAM for Resource-Efficient Medical Image Segmentation
• K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model
• Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks
• NeoWorld: Neural Simulation of Explorable Virtual Worlds via Progressive 3D Unfolding
• Personalized Vision via Visual In-Context Learning
• CrashSplat: 2D to 3D Vehicle Damage Segmentation in Gaussian Splatting
• Revisit the Imbalance Optimization in Multi-task Learning: An Experimental Analysis
• AssemblyHands-X: Modeling 3D Hand-Body Coordination for Understanding Bimanual Human Activities
• A Weather Foundation Model for the Power Grid
• Color-Pair Guided Robust Zero-Shot 6D Pose Estimation and Tracking of Cluttered Objects on Edge Devices
• Efficient Domain-Adaptive Multi-Task Dense Prediction with Vision Foundation Models
• BioVessel-Net and RetinaMix: Unsupervised Retinal Vessel Segmentation from OCTA Images
• ZeroScene: A Zero-Shot Framework for 3D Scene Generation from a Single Image and Controllable Texture Editing
• StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data
• From Fields to Splats: A Cross-Domain Survey of Real-Time Neural Scene Representations
• OVSeg3R: Learn Open-vocabulary Instance Segmentation from 2D via 3D Reconstruction
• GLUE: Global-Local Unified Encoding for Imitation Learning via Key-Patch Tracking
• Mask What Matters: Controllable Text-Guided Masking for Self-Supervised Medical Image Analysis
• Confidence-Calibrating Regularization for Robust Brain MRI Segmentation Under Domain Shift
• Structure in Deep Reinforcement Learning: A Survey and Open Problems
• RefAM: Attention Magnets for Zero-Shot Referral Segmentation
• LABELING COPILOT: A Deep Research Agent for Automated Data Curation in Computer Vision
• RAU: Reference-based Anatomical Understanding with Vision Language Models
• RoboView-Bias: Benchmarking Visual Bias in Embodied Agents for Robotic Manipulation
• Polysemous Language Gaussian Splatting via Matching-based Mask Lifting
• Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation
• Learning What To Hear: Boosting Sound-Source Association For Robust Audiovisual Instance Segmentation
• CubistMerge: Spatial-Preserving Token Merging For Diverse ViT Backbones
• KG-SAM: Injecting Anatomical Knowledge into Segment Anything Models via Conditional Random Fields
• VLBiMan: Vision-Language Anchored One-Shot Demonstration Enables Generalizable Bimanual Robotic Manipulation
• PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D Data
• Unsupervised Defect Detection for Surgical Instruments
• ArchGPT: Understanding the World's Architectures with Large Multimodal Models
• SLAM-Free Visual Navigation with Hierarchical Vision-Language Perception and Coarse-to-Fine Semantic Topological Planning
• Large Pre-Trained Models for Bimanual Manipulation in 3D
• LayoutAgent: A Vision-Language Agent Guided Compositional Diffusion for Spatial Layout Planning
• PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation
• Optical Ocean Recipes: Creating Realistic Datasets to Facilitate Underwater Vision Research
• LLM Trainer: Automated Robotic Data Generating via Demonstration Augmentation using LLMs
• Embodied AI: From LLMs to World Models
• AJAHR: Amputated Joint Aware 3D Human Mesh Recovery
• Where Did I Leave My Glasses? Open-Vocabulary Semantic Exploration in Real-World Semi-Static Environments
• CAMILA: Context-Aware Masking for Image Editing with Language Alignment
• Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation
• Agentic Scene Policies: Unifying Space, Semantics, and Affordances for Robot Action
• VCP-DCN: Beyond Visual Concealed Property via Depth Collaborative Network for Camouflaged Object Detection
• ZMIS-SAM: Segment Anything Model Enhanced with Wavelet Transform for Zooplankton Microscopy Image Instance Segmentation
• Cross-Embodiment Transfer via Behavior-Aligned Representations
• Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark
• MeshFM: 2D Features Are All You Need for 3D Shape Understanding
• TongueReenact: Geometry-Anchored Tongue Synthesis for Face Reenactment
• Articulated Object Reconstruction from Rest-State Observation
• Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer
• IGME: Efficient Chained Method Ensemble for Transferable Semantic Segmentation Attacks
• LivePyxel: accelerating image annotations with a Python-integrated webcam live streaming
• Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation
• Open-Vocabulary BEV Segmentation with 3D-Aware Geometric Constraints
• A scalar per patch from pre-trained ViTs enables fast moving navigation in the real world
• Propose and Rectify: A Forensics-Driven MLLM Framework for Image Manipulation Localization
• Citizen Centered Climate Intelligence: Operationalizing Open Tree Data for Urban Cooling and Eco-Routing in Indian Cities
• Learning a Sampling-Free Variational DNN Plugin from Tiny Training Sets to Refine OOD Segmentation With Uncertainty Estimation
• Deep-learning deconvolution and segmentation of fluorescent membranes for high-precision bacterial cell-size profiling
• EndoUFM: Utilizing Foundation Models for Monocular depth estimation of endoscopic images
• Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation
• AVAM: Universal Training-free Adaptive Visual Anchoring Embedded into Multimodal Large Language Model for Multi-image Question Answering
• A Contrastive Learning-Guided Confident Meta-learning for Zero Shot Anomaly Detection
• RoSe: Robust Self-supervised Stereo Matching under Adverse Weather Conditions
• Spectral Signature Mapping from RGB Imagery for Terrain-Aware Navigation
• Citrus-V: Advancing Medical Foundation Models with Unified Medical Image Grounding for Clinical Reasoning
• Advancing Metallic Surface Defect Detection via Anomaly-Guided Pretraining on a Large Industrial Dataset
• How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective
• HyPSAM: Hybrid Prompt-driven Segment Anything Model for RGB-Thermal Salient Object Detection
• MLF-4DRCNet: Multi-Level Fusion with 4D Radar and Camera for 3D Object Detection in Autonomous Driving
• Weakly Supervised Food Image Segmentation using Vision Transformers and Segment Anything Model
• Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images
• The Photographer Eye: Teaching Multimodal Large Language Models to Understand Image Aesthetics like Photographers
• Attack for Defense: Adversarial Agents for Point Prompt Optimization Empowering Segment Anything Model
• OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps
• iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning
• Learning Geometry-Aware Nonprehensile Pushing and Pulling with Dexterous Hands
• A Single Image Is All You Need: Zero-Shot Anomaly Localization Without Training Data
• Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers
• UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning
• Towards Seeing Bones at Radio Frequency
• VideoArtGS: Building Digital Twins of Articulated Objects from Monocular Video
• Visual Instruction Pretraining for Domain-Specific Foundation Models
• SimToken: A Simple Baseline for Referring Audio-Visual Segmentation
• Few-Shot Pattern Detection via Template Matching and Regression
• From Benchmarks to Reality: Advancing Visual Anomaly Detection by the VAND 3.0 Challenge
• Depth Edge Alignment Loss: DEALing with Depth in Weakly Supervised Semantic Segmentation
• LoT-Pass: Long-term-robust Image Watermarking for Image to Video Generation
• StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models
• Neural-MMGS: Multi-modal Neural Gaussian Splats for Large-Scale Scene Reconstruction
• Computational Scaffolding of Composition, Value, and Color for Disciplined Drawing
• Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization
• The 1st Solution for 7th LSVOS RVOS Track: SaSaSa2VA
• SAM-DCE: Addressing Token Uniformity and Semantic Over-Smoothing in Medical Segmentation
• MMPart: Harnessing Multi-Modal Large Language Models for Part-Aware 3D Generation
• Describe-to-Score: Text-Guided Efficient Image Complexity Assessment
• Text-Scene: A Scene-to-Language Parsing Framework for 3D Scene Understanding
• UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
• See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model
• Right-Side-Out: Learning Zero-Shot Sim-to-Real Garment Reversal
• ENSAM: an efficient foundation model for interactive segmentation of 3D medical images
• Zero-Shot Visual Grounding in 3D Gaussians via View Retrieval
• Overview of PlantCLEF 2024: multi-species plant identification in vegetation plot images
• pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image Segmentation
• Towards Size-invariant Salient Object Detection: A Generic Evaluation and Optimization Approach
• TASAM: Terrain-and-Aware Segment Anything Model for Temporal-Scale Remote Sensing Segmentation
• FloorSAM: SAM-Guided Floorplan Reconstruction with Semantic-Geometric Fusion
• MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild
• Sparse Multiview Open-Vocabulary 3D Detection
• Introducing Resizable Region Packing Problem in Image Generation, with a Heuristic Solution
• Compose by Focus: Scene Graph-based Atomic Skills
• RangeSAM: On the Potential of Visual Foundation Models for Range-View represented LiDAR segmentation
• Region-Aware Deformable Convolutions
• Geometric Image Synchronization with Deep Watermarking
• WorldForge: Unlocking Emergent 3D/4D Generation in Video Diffusion Model via Training-Free Guidance
• Transplant-Ready? Evaluating AI Lung Segmentation Models in Candidates with Severe Lung Disease
• Ask-to-Clarify: Resolving Instruction Ambiguity through Multi-turn Dialogue
• AutoEdit: Automatic Hyperparameter Tuning for Image Editing
• Variational Shape Inference for Grasp Diffusion on SE(3)
• Fracture interactive geodesic active contours for bone segmentation
• Trade-offs in Cross-Domain Generalization of Foundation Model Fine-Tuned for Biometric Applications
• Pseudo-Label Enhanced Cascaded Framework: 2nd Technical Report for LSVOS 2025 VOS Track
• FMGS-Avatar: Mesh-Guided 2D Gaussian Splatting with Foundation Model Priors for 3D Monocular Avatar Reconstruction
• Frequency-Aware Ensemble Learning for BraTS 2025 Pediatric Brain Tumor Segmentation
• E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation
• MoSA: Motion-Coherent Human Video Generation via Structure-Appearance Decoupling
• MOCHA: Multi-modal Objects-aware Cross-arcHitecture Alignment
• Improving Generalized Visual Grounding with Instance-aware Joint Learning
• Re-purposing SAM into Efficient Visual Projectors for MLLM-Based Referring Image Segmentation
• VocSegMRI: Multimodal Learning for Precise Vocal Tract Segmentation in Real-time MRI
• Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models
• Explain Before You Answer: A Survey on Compositional Visual Reasoning
• An Empirical Analysis of VLM-based OOD Detection: Mechanisms, Advantages, and Sensitivity
• LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection
• MSGFusion: Multimodal Scene Graph-Guided Infrared and Visible Image Fusion
• When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective
• Superpixel Anything: A general object-based framework for accurate yet regular superpixel segmentation
• CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification
• A biological vision inspired framework for machine perception of abutting grating illusory contours
• Advancing Real-World Parking Slot Detection with Large-Scale Dataset and Semi-Supervised Baseline
• Beyond Averages: Open-Vocabulary 3D Scene Understanding with Gaussian Splatting and Bag of Embeddings
• Advancing Weakly-Supervised Change Detection in Satellite Images via Adversarial Class Prompting
• MMMS: Multi-Modal Multi-Surface Interactive Segmentation
• Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges
• Road Obstacle Video Segmentation
• LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence
• RailSafeNet: Visual Scene Understanding for Tram Safety
• FS-SAM2: Adapting Segment Anything Model 2 for Few-Shot Semantic Segmentation via Low-Rank Adaptation
• A Computer Vision Pipeline for Individual-Level Behavior Analysis: Benchmarking on the Edinburgh Pig Dataset
• SERES: Semantic-aware neural reconstruction from sparse views
• Segmentation-Driven Initialization for Sparse-view 3D Gaussian Splatting
• MindVL: Towards Efficient and Effective Training of Multimodal Large Language Models on Ascend NPUs
• Synthetic vs. Real Training Data for Visual Navigation
• Seg2Track-SAM2: SAM2-based Multi-object Tracking and Segmentation
• A Controllable 3D Deepfake Generation Framework with Gaussian Splatting
• Multi-animal tracking in Transition: Comparative Insights into Established and Emerging Methods
• IMD: A 6-DoF Pose Estimation Benchmark for Industrial Metallic Objects
• MAFS: Masked Autoencoder for Infrared-Visible Image Fusion and Semantic Segmentation
• Joint-octamamba:an octa joint segmentation network based on feature enhanced mamba
• WildSmoke: Ready-to-Use Dynamic 3D Smoke Assets from a Single Video in the Wild
• M3DMap: Object-aware Multimodal 3D Mapping for Dynamic Environments
• Leveraging Geometric Priors for Unaligned Scene Change Detection
• OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds
• Multimodal SAM-adapter for Semantic Segmentation
• SCOPE: Speech-guided COllaborative PErception Framework for Surgical Scene Segmentation
• SegSLR: Promptable Video Segmentation for Isolated Sign Language Recognition
• A Comparison and Evaluation of Fine-tuned Convolutional Neural Networks to Large Language Models for Image Classification and Segmentation of Brain Tumors on MRI
• WebSight: A Vision-First Architecture for Robust Web Agents
• Self-supervised Learning Of Visual Pose Estimation Without Pose Labels By Classifying LED States
• GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection
• Leveraging Multi-View Weak Supervision for Occlusion-Aware Multi-Human Parsing
• Segment Anything for Cell Tracking
• Towards Understanding Visual Grounding in Visual Language Models
• ObjectReact: Learning Object-Relative Control for Visual Navigation
• PeftCD: Leveraging Vision Foundation Models with Parameter-Efficient Fine-Tuning for Remote Sensing Change Detection
• Region-Wise Correspondence Prediction between Manga Line Art Images
• Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems
• Image Recognition with Vision and Language Embeddings of VLMs
• Modular, On-Site Solutions with Lightweight Anomaly Detection for Sustainable Nutrient Management in Agriculture
• OCELOT 2023: Cell Detection from Cell-Tissue Interaction Challenge
• Zero-shot Hierarchical Plant Segmentation via Foundation Segmentation Models and Text-to-image Attention
• MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos
• Live(r) Die: Predicting Survival in Colorectal Liver Metastasis
• SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video
• CLAPS: A CLIP-Unified Auto-Prompt Segmentation for Multi-Modal Retinal Imaging
• Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation
• Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation
• Foundation Models for Autonomous Driving Perception: A Survey Through Core Capabilities
• Dual-Thresholding Heatmaps to Cluster Proposals for Weakly Supervised Object Detection
• X-Part: high fidelity and structure coherent shape decomposition
• RoboChemist: Long-Horizon and Safety-Compliant Robotic Chemical Experimentation
• MAE-SAM2: Mask Autoencoder-Enhanced SAM2 for Clinical Retinal Vascular Leakage Segmentation
• Visual Representation Alignment for Multimodal Large Language Models
• MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback
• Point Linguist Model: Segment Any Object via Bridged Large 3D-Language Model
• A Generalisable Generative Model for Multi-Detector Calorimeter Simulation
• Privacy Preserving Semantic Communications Using Vision Language Models: A Segmentation and Generation Approach
• XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning
• CellEcoNet: Decoding the Cellular Language of Pathology with Deep Learning for Invasive Lung Adenocarcinoma Recurrence Prediction
• P3-SAM: Native 3D Part Segmentation
• VIM-GS: Visual-Inertial Monocular Gaussian Splatting via Object-level Guidance in Large Scenes
• Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning
• Text4Seg++: Advancing Image Segmentation via Generative Language Modeling
• Does DINOv3 Set a New Medical Vision Standard? Benchmarking 2D and 3D Classification, Segmentation, and Registration
• Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation
• Event Spectroscopy: Event-based Multispectral and Depth Sensing using Structured Light
• Compression Beyond Pixels: Semantic Compression with Multimodal Foundation Models
• Grasp-MPC: Closed-Loop Visual Grasping via Value-Guided Model Predictive Control
• A Probabilistic Segment Anything Model for Ambiguity-Aware Medical Image Segmentation
• Visibility-Aware Language Aggregation for Open-Vocabulary Segmentation in 3D Gaussian Splatting
• Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights
• Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
• PropVG: End-to-End Proposal-Driven Visual Grounding with Multi-Granularity Discrimination
• Enhancing Self-Driving Segmentation in Adverse Weather Conditions: A Dual Uncertainty-Aware Training Approach to SAM Optimization
• Towards Open World Detection: A Survey
• Inpaint4Drag: Repurposing Inpainting Models for Drag-Based Image Editing via Bidirectional Warping
• SSGaussian: Semantic-Aware and Structure-Preserving 3D Style Transfer
• TensoIS: A Step Towards Feed-Forward Tensorial Inverse Subsurface Scattering for Perlin Distributed Heterogeneous Media
• A Synthetic-to-Real Dehazing Method based on Domain Unification
• Weakly-Supervised Learning of Dense Functional Correspondences
• Reactive In-Air Clothing Manipulation with Confidence-Aware Dense Correspondence and Visuotactile Affordance
• A Multidimensional AI-powered Framework for Analyzing Tourist Perception in Historic Urban Quarters: A Case Study in Shanghai
• 20 years of microfluidic technology for advancing plant sciences
• SLENet: A Guidance-Enhanced Network for Underwater Camouflaged Object Detection
• DisPatch: Disarming Adversarial Patches in Object Detection with Diffusion Models
• Sample-efficient Integration of New Modalities into Large Language Models
• AutoDetect: Designing an Autoencoder-based Detection Method for Poisoning Attacks on Object Detection Applications in the Military Domain
• Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation
• PointAD+: Learning Hierarchical Representations for Zero-shot 3D Anomaly Detection
• Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery
• IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorization
• EM3M: An Electron Micrograph Dataset for Microstructural Segmentation and Generation
• MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement
• An Investigation of Visual Foundation Models Robustness
• Language-Guided Long Horizon Manipulation with LLM-based Planning and Visual Perception
• Self-Validated Learning for Particle Separation: A Correctness-Based Self-Training Framework Without Human Labels
• First RAG, Second SEG: A Training-Free Paradigm for Camouflaged Object Detection
• Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference
• Im2Haircut: Single-view Strand-based Hair Reconstruction for Human Avatars
• Image Quality Enhancement and Detection of Small and Dense Objects in Industrial Recycling Processes
• Measuring Image-Relation Alignment: Reference-Free Evaluation of VLMs and Synthetic Pre-training for Open-Vocabulary Scene Graph Generation
• SegAssess: Panoramic quality mapping for robust and transferable unsupervised segmentation assessment
• MoTo: A Zero-shot Plug-in Interaction-aware Navigation for General Mobile Manipulation
• Cross-Domain Few-Shot Segmentation via Ordinary Differential Equations over Time Intervals
• NeuralMeshing: Complete Object Mesh Extraction from Casual Captures
• No More Sibling Rivalry: Debiasing Human-Object Interaction Detection
• SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3
• Can General-Purpose Omnimodels Compete with Specialists? A Case Study in Medical Image Segmentation
• DGL-RSIS: Decoupling Global Spatial Context and Local Class Semantics for Training-Free Remote Sensing Image Segmentation
• Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation
• Promptable Longitudinal Lesion Segmentation in Whole-Body CT
• A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging
• VoCap: Video Object Captioning and Segmentation from Any Prompt
• TMUAD: Enhancing Logical Capabilities in Unified Anomaly Detection Models with a Text Memory Bank
• CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models
• Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark
• Generative AI for Industrial Contour Detection: A Language-Guided Vision System
• Representation Learning with Adaptive Superpixel Coding
• Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models
• Maybe you don't need a U-Net: convolutional feature upsampling for materials micrograph segmentation
• Webly-Supervised Image Manipulation Localization via Category-Aware Auto-Annotation
• Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation
• CineScale: Free Lunch in High-Resolution Cinematic Visual Generation
• SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes
• PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis
• NiceWebRL: a Python library for human subject experiments with reinforcement learning environments
• Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation
• OpenM3D: Open Vocabulary Multi-view Indoor 3D Object Detection without Human Annotations
• Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation
• LabelGS: Label-Aware 3D Gaussian Splatting for 3D Scene Segmentation
• Interact-Custom: Customized Human Object Interaction Image Generation
• SDiFL: Stable Diffusion-Driven Framework for Image Forgery Localization
• Autoregressive Universal Video Segmentation Model
• MedVQA-TREE: A Multimodal Reasoning and Retrieval Framework for Sarcopenia Prediction
• The point is the mask: scaling coral reef segmentation with weak supervision
• OpenTie: Open-vocabulary Sequential Rebar Tying System
• Feature-Space Planes Searcher: A Universal Domain Adaptation Framework for Interpretability and Computational Efficiency
• From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations
• ROSE: Remove Objects with Side Effects in Videos
• eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases
• VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft
• Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images
• ArgusCogito: Chain-of-Thought for Cross-Modal Synergy and Omnidirectional Reasoning in Camouflaged Object Segmentation
• GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design
• Deep learning in plant phenotyping: the first ten years
• GaussianArt: Unified Modeling of Geometry and Motion for Articulated Objects
• Understanding Data Influence with Differential Approximation
• Locality-aware Concept Bottleneck Model
• A Comprehensive Review of Agricultural Parcel and Boundary Delineation from Remote Sensing Images: Recent Progress and Future Perspectives
• Towards PerSense++: Advancing Training-Free Personalized Instance Segmentation in Dense Images
• GALA: Guided Attention with Language Alignment for Open Vocabulary Gaussian Splatting
• Adapting Biological Reflexes for Dynamic Reorientation in Space Manipulator Systems
• Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer
• ViT-FIQA: Assessing Face Image Quality using Vision Transformers
• PhysGM: Large Physical Gaussian Model for Feed-Forward 4D Synthesis
• Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
• subCellSAM: Zero-Shot (Sub-)Cellular Segmentation for Hit Validation in Drug Discovery
• DeH4R: A Decoupled and Hybrid Method for Road Network Graph Extraction
• OmniTry: Virtual Try-On Anything without Masks
• Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
• AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report
• Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey
• SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop
• Splat Feature Solver
• S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
• VELVET-Med: Vision and Efficient Language Pre-training for Volumetric Imaging Tasks in Medicine
• InstDrive: Instance-Aware 3D Gaussian Splatting for Driving Scenes
• Temporal Grounding as a Learning Signal for Referring Video Object Segmentation
• UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding
• EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models
• PEdger++: Practical Edge Detection via Assembling Cross Information
• Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception
• CoreEditor: Correspondence-constrained Diffusion for Consistent 3D Editing
• StyleMM: Stylized 3D Morphable Face Model via Text-Driven Aligned Image Translation
• Visuomotor Grasping with World Models for Surgical Robots
• VFM-Guided Semi-Supervised Detection Transformer under Source-Free Constraints for Remote Sensing Object Detection
• Visual Perception Engine: Fast and Flexible Multi-Head Inference for Robotic Vision Tasks
• Ovis2.5 Technical Report
• SlicerMorph photogrammetry: an open-source photogrammetry workflow for reconstructing 3D models
• Utilizing Vision-Language Models as Action Models for Intent Recognition and Assistance
• GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning
• MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation
• Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025
• NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
• A Segmentation-driven Editing Method for Bolt Defect Augmentation and Detection
• Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
• Adapting SAM via Cross-Entropy Masking for Class Imbalance in Remote Sensing Change Detection
• Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset
• Empowering Multimodal LLMs with External Tools: A Comprehensive Survey
• Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning
• Towards Efficient Prompt-based Continual Learning in Distributed Medical AI
• From Pixel to Mask: A Survey of Out-of-Distribution Segmentation
• Deep Learning for Crack Detection: A Review of Learning Paradigms, Generalizability, and Datasets
• SynSpill: Improved Industrial Spill Detection With Synthetic Data
• Bridging Modality Gaps in e-Commerce Products via Vision-Language Alignment
• A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation
• PERSONA: Personalized Whole-Body 3D Avatar with Pose-Driven Deformations from a Single Image
• COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets
• Physical Autoregressive Model for Robotic Manipulation without Action Pretraining
• Automated Segmentation of Coronal Brain Tissue Slabs for 3D Neuropathology
• Multi-Sequence Parotid Gland Lesion Segmentation via Expert Text-Guided Segment Anything Model
• Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion
• ViPE: Video Pose Engine for 3D Geometric Perception
• HumanOLAT: A Large-Scale Dataset for Full-Body Human Relighting and Novel-View Synthesis
• Beyond Blanket Masking: Examining Granularity for Privacy Protection in Images Captured by Blind and Low Vision Users
• MADPromptS: Unlocking Zero-Shot Morphing Attack Detection with Multiple Prompt Aggregation
• GaussianUpdate: Continual 3D Gaussian Splatting Update for Changing Environments
• Exploring Palette based Color Guidance in Diffusion Models
• Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines
• CObL: Toward Zero-Shot Ordinal Layering without User Prompting
• ReferSplat: Referring Segmentation in 3D Gaussian Splatting
• SAGOnline: Segment Any Gaussians Online
• Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control
• Selective Contrastive Learning for Weakly Supervised Affordance Grounding
• UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models
• Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild
• NeeCo: Image Synthesis of Novel Instrument States Based on Dynamic and Deformable 3D Gaussian Reconstruction
• Splat4D: Diffusion-Enhanced 4D Gaussian Splatting for Temporally and Spatially Consistent Content Creation
• A Spin Glass Characterization of Neural Networks
• 3D Gaussian Representations with Motion Trajectory Field for Dynamic Scene Reconstruction
• ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attack
• Membership Inference Attacks with False Discovery Rate Control
• CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing
• BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models
• Remote Sensing Image Intelligent Interpretation with the Language-Centered Perspective: Principles, Methods and Challenges
• SafePLUG: Empowering Multimodal LLMs with Pixel-Level Insight and Temporal Grounding for Traffic Accident Understanding
• Synthetic Data-Driven Multi-Architecture Framework for Automated Polyp Segmentation Through Integrated Detection and Mask Generation
• Text-guided Visual Prompt DINO for Generic Segmentation
• SAM Encoder Breach by Adversarial Simplicial Complex Triggers Downstream Model Failures
• ETA: Energy-based Test-time Adaptation for Depth Completion
• PASG: A Closed-Loop Framework for Automated Geometric Primitive Extraction and Semantic Anchoring in Robotic Manipulation
• Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
• Improving Diagnostic Accuracy for Oral Cancer with inpainting Synthesis Lesions Generated Using Diffusion Models
• NEP: Autoregressive Image Editing via Next Editing Token Prediction
• Real-Time 3D Vision-Language Embedding Mapping
• SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation
• AGI for the Earth, the path, possibilities and how to evaluate intelligence of models that work with Earth Observation Data?
• User-Intent-Driven Semantic Communication via Adaptive Deep Understanding
• Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction
• Improving Masked Style Transfer using Blended Partial Convolution
• Adapting Vision-Language Models Without Labels: A Comprehensive Survey
• SMOL-MapSeg: Show Me One Label as prompt
• F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery
• SGDFuse: SAM-Guided Diffusion for High-Fidelity Infrared and Visible Image Fusion
• EndoMatcher: Generalizable Endoscopic Image Matcher via Multi-Domain Pre-training for Robot-Assisted Surgery
• SPEX: A Vision-Language Model for Land Cover Extraction on Spectral Remote Sensing Images
• Decoupling Continual Semantic Segmentation
• A Study of the Framework and Real-World Applications of Language Embedding for 3D Scene Understanding
• Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks
• CF3: Compact and Fast 3D Feature Fields
• HOLODECK 2.0: Vision-Language-Guided 3D World Generation with Editing
• Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens
• Dual-Stream Attention with Multi-Modal Queries for Object Detection in Transportation Applications
• Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
• Open Scene Graphs for Open-World Object-Goal Navigation
• A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
• MSC: A Marine Wildlife Video Dataset with Grounded Segmentation and Clip-Level Captioning
• Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion
• Benchmarking Foundation Models for Mitotic Figure Classification
• Composed Object Retrieval: Object-level Retrieval via Composed Expressions
• Deep Learning-based Scalable Image-to-3D Facade Parser for Generating Thermal 3D Building Models
• Revisiting Continual Semantic Segmentation with Pre-trained Vision Models
• Segment Any Vehicle: Semantic and Visual Context Driven SAM and A Benchmark
• Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification
• RPCANet++: Deep Interpretable Robust PCA for Sparse Object Segmentation
• Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation
• DOMR: Establishing Cross-View Segmentation via Dense Object Matching
• Statistical Confidence Rescoring for Robust 3D Scene Graph Generation from Multi-View Images
• Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition
• OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World
• SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks
• SoilNet: A Multimodal Multitask Model for Hierarchical Classification of Soil Horizons
• MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation
• Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval
• ParticleSAM: Small Particle Segmentation for Material Quality Monitoring in Recycling Processes
• Zero-shot Shape Classification of Nanoparticles in SEM Images using Vision Foundation Models
• Trace3D: Consistent Segmentation Lifting via Gaussian Instance Tracing
• H3R: Hybrid Multi-view Correspondence for Generalizable 3D Reconstruction
• Point2Act: Efficient 3D Distillation of Multimodal LLMs for Zero-Shot Context-Aware Grasping
• ADSeeker: A Knowledge-Infused Framework for Anomaly Detection and Reasoning
• Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation
• FedPromo: Federated Lightweight Proxy Models at the Edge Bring New Domains to Foundation Models
• Rethinking Transparent Object Grasping: Depth Completion with Monocular Depth Estimation and Instance Mask
• SGAD: Semantic and Geometric-aware Descriptor for Local Feature Matching
• Data-driven RF Tomography via Cross-modal Sensing and Continual Learning
• DreamPainter: Image Background Inpainting for E-commerce Scenarios
• ScrewSplat: An End-to-End Method for Articulated Object Recognition
• Mapillary Vistas Validation for Fine-Grained Traffic Signs: A Benchmark Revealing Vision-Language Model Limitations
• SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models
• Rein++: Efficient Generalization and Adaptation for Semantic Segmentation with Vision Foundation Models
• TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification
• Set Pivot Learning: Redefining Generalized Segmentation with Vision Foundation Models
• Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model
• Learning to Perform Low-Contact Autonomous Nasotracheal Intubation by Recurrent Action-Confidence Chunking with Transformer
• AG²aussian: Anchor-Graph Structured Gaussian Splatting for Instance-Level 3D Scene Understanding and Editing
• M3LLM: Model Context Protocol-aided Mixture of Vision Experts For Multimodal LLMs in Networks
• Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians
• Physically-based Lighting Generation for Robotic Manipulation
• ReMu: Reconstructing Multi-layer 3D Clothed Human from Image Layers
• Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching
• OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS
• Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models
• OpenGS-Fusion: Open-Vocabulary Dense Mapping with Hybrid 3D Gaussian Splatting for Refined Object-Level Understanding
• MASIV: Toward Material-Agnostic System Identification from Videos
• Trans-Adapter: A Plug-and-Play Framework for Transparent Image Inpainting
• GECO: Geometrically Consistent Embedding with Lightspeed Inference
• Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
• Training-Free Class Purification for Open-Vocabulary Semantic Segmentation
• Video Color Grading via Look-Up Table Generation
• Fine-grained Spatiotemporal Grounding on Egocentric Videos
• LesiOnTime -- Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI
• SDMatte: Grafting Diffusion Models for Interactive Matting
• Sel3DCraft: Interactive Visual Prompts for User-Friendly Text-to-3D Generation
• Decouple before Align: Visual Disentanglement Enhances Prompt Tuning
• Multimodal Referring Segmentation: A Survey
• PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting
• Omni-Scan: Creating Visually-Accurate Digital Twin Object Models Using a Bimanual Robot with Handover and Gaussian Splat Merging
• Object-Centric Cropping for Visual Few-Shot Classification
• Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic
• RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping
• Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation
• Mamba-based Efficient Spatio-Frequency Motion Perception for Video Camouflaged Object Detection
• 3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection
• ST-SAM: SAM-Driven Self-Training Framework for Semi-Supervised Camouflaged Object Detection
• Training-free Geometric Image Editing on Diffusion Models
• PixNerd: Pixel Neural Field Diffusion

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