Lingqiao Liu
- Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection
2019/04/04 by Dong Gong, Gong, Dong, Lingqiao Liu +11 · 41 citations
Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Network Security and Intrusion Detection
- Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
2022/03/23 by Liang Chen, Yong Zhang, Chen, Liang +7 · 21 citations
Computer Science · #Digital Media Forensic Detection #Generative Adversarial Networks and Image Synthesis #Anomaly Detection Techniques and Applications
- R2GenGPT: Radiology Report Generation with Frozen LLMs
2023/09/18 by Zhanyu Wang, Lingqiao Liu, Wang, Zhanyu +5 · 23 citations
Computer Science · Social Sciences · #Computational and Text Analysis Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens
2023/04/05 by Zhanyu Wang, Wang, Zhanyu, Lingqiao Liu +5 · 15 citations
Computer Science · Medicine · #Multimodal Machine Learning Applications #Radiomics and Machine Learning in Medical Imaging #AI in cancer detection
- Towards Effective Low-bitwidth Convolutional Neural Networks
2017/11/01 by Bohan Zhuang, Chunhua Shen, Zhuang, Bohan +7 · 6 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
- Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization
2022/10/10 by Hai-Ming Xu, Xu, Hai-Ming, Lingqiao Liu +5 · 4 citations
Computer Science · #Advanced Neural Network Applications #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
- Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation
2017/04/30 by Yu Chen, Chunhua Shen, Chen, Yu +7 · 3 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gait Recognition and Analysis #Hand Gesture Recognition Systems #Human Pose and Action Recognition
- Stock Market Prediction via Deep Learning Techniques: A Survey
2022/12/24 by Jinan Zou, Qingying Zhao, Zou, Jinan +15 · 3 citations
Computer Science · Decision Sciences · #Data Stream Mining Techniques #FOS: Economics and business #General Finance (q-fin.GN) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
- V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive\n Matrices
2019/07/29 by Damien Teney, Teney, Damien, Peng Wang +9 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Multimodal Machine Learning Applications
- Towards Using Count-level Weak Supervision for Crowd Counting
2020/02/29 by Yinjie Lei, Yan Liu, Lei, Yinjie +5 · 3 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fire Detection and Safety Systems #Video Surveillance and Tracking Methods
- Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
2020/07/07 by Yan Liu, Lingqiao Liu, Liu, Yan +7 · 2 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fire Detection and Safety Systems #Video Surveillance and Tracking Methods
- Attention-driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models without Fine-Tuning
2024/12/14 by Hai-Ming Xu, Qi Chen, Xu, Hai-Ming +5 · 5 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses
2024/02/17 by Xuan Ren, Ren, Xuan, Biao Wu +3 · 3 citations
Computer Science · #Topic Modeling #Speech Recognition and Synthesis #Natural Language Processing Techniques
- Effective Tuning Strategies for Generalist Robot Manipulation Policies
2024/10/02 by Wenbo Zhang, Zhang, Wenbo, Yang Li +13 · 4 citations
Engineering · Computer Science · #Robot Manipulation and Learning #Robotic Mechanisms and Dynamics #Evolutionary Algorithms and Applications
- Improved Test-Time Adaptation for Domain Generalization
2023/04/10 by Liang Chen, Yong Zhang, Chen, Liang +7 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Attend in groups: a weakly-supervised deep learning framework for learning from web data
2016/11/30 by Bohan Zhuang, Lingqiao Liu, Zhuang, Bohan +7 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- RPC: A Large-Scale Retail Product Checkout Dataset
2019/01/22 by Xiu-Shen Wei, Quan Cui, Wei, Xiu-Shen +7 · 3 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Visual Attention and Saliency Detection
- Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network
2020/10/26 by Haibo Su, Peng Wang, Su, Haibo +9 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Retrieval and Classification Techniques #Visual Attention and Saliency Detection
- Close-up-GS: Enhancing Close-Up View Synthesis in 3D Gaussian Splatting with Progressive Self-Training
2025/03/12 by Lingqiao Liu, Xia, Jiatong, Liu, Lingqiao · 3 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Video Surveillance and Tracking Methods
- Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism
2022/08/01 by Yangyang Shu, Shu, Yangyang, Baosheng Yu +5 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- Dual Decision Improves Open-Set Panoptic Segmentation
2022/07/06 by Hai-Ming Xu, Xu, Hai-Ming, Hao Chen +5 · 1 citation
Computer Science · Engineering · #Advanced Chemical Sensor Technologies #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Processing Techniques and Applications
- A Simple-but-effective Baseline for Training-free Class-Agnostic Counting
2024/03/03 by Yuhao Lin, Haiming Xu, Lin, Yuhao +5 · 1 citation
Computer Science · #Machine Learning and Algorithms
- Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation
2025/06/11 by Wenbo Zhang, Tao Hu, Zhang, Wenbo +17 · 3 citations
Engineering · Computer Science · Neuroscience · #Robot Manipulation and Learning #Reinforcement Learning in Robotics #Motor Control and Adaptation
- Weakly Supervised Semantic Segmentation Based on Web Image Co-segmentation
2017/05/25 by Tong Shen, Guosheng Lin, Shen, Tong +7 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Web Data Mining and Analysis
- CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning
2024/03/15 by Yukun Li, Guansong Pang, Li, Yukun +15 · 1 citation
Computer Science · Health Professions · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Interpreting and Communication in Healthcare #Speech and dialogue systems #Topic Modeling
- KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models
2024/09/09 by Yingshu Li, Zhanyu Wang, Li, Yingshu +9 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Biomedical Text Mining and Ontologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging #Topic Modeling
- Categorical Keypoint Positional Embedding for Robust Animal Re-Identification
2024/12/01 by Yuhao Lin, Lingqiao Liu, Lin, Yuhao +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Agricultural and Biological Sciences · Veterinary · #Identification and Quantification in Food #Food Supply Chain Traceability #Animal Behavior and Welfare Studies
- ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation
2024/11/26 by Yunyi Liu, Yingshu Li, Liu, Yunyi +10 · 1 citation
Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Radiation Dose and Imaging #Radiology practices and education
- Mining Mid-level Visual Patterns with Deep CNN Activations
2015/06/21 by Yao Li, Lingqiao Liu, Li, Yao +5 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
- Beyond Implicit Force: Evaluating Explicit Force-Torque Proxies in Action Chunking with Transformers
2026/07/16 by King Hang Wong, Lingqiao Liu, Feras Dayoub
#cs.RO