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Chao, Wei-Lun

  1. Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
    2018/12/18 by Yan Wang, Wei-Lun Chao, Wei‐Lun Chao +10 · 5 voices · 21 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Advanced Vision and Imaging #Robotics and Sensor-Based Localization #cs.CV
  2. LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
    2022/12/08 by Song, Chan Hee, Wu, Jiaman, Washington, Clayton +3 · 85 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  3. BioCLIP: A Vision Foundation Model for the Tree of Life
    2023/11/30 by Samuel Stevens, Stevens, Samuel, Jiaman Wu +27 · 2 voices · 39 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Genetics, Bioinformatics, and Biomedical Research #Genomics and Phylogenetic Studies #cs.CL #cs.CV #cs.LG
  4. An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
    2016/05/13 by Wei‐Lun Chao, Chao, Wei-Lun, Soravit Changpinyo +5 · 18 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Geophysical Methods and Applications
  5. SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
    2019/11/12 by Yan Wang, Wei‐Lun Chao, Wang, Yan +5 · 16 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Machine Learning and Data Classification
  6. Video Summarization with Long Short-term Memory
    2016/05/26 by Ke Zhang, Wei‐Lun Chao, Zhang, Ke +5 · 10 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing #Video Analysis and Summarization
  7. FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
    2020/09/04 by Hong-You Chen, Chen, Hong-You, Wei‐Lun Chao +1 · 10 citations
    Computer Science · Engineering · Decision Sciences · #Privacy-Preserving Technologies in Data #Traffic Prediction and Management Techniques #Data Quality and Management
  8. Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
    2020/05/17 by Yan Wang, Wang, Yan, Xiangyu Chen +13 · 8 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Autonomous Vehicle Technology and Safety #Robotics and Sensor-Based Localization
  9. Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
    2019/06/14 by Yurong You, Yan Wang, You, Yurong +13 · 8 citations
    Computer Science · Engineering · Physics and Astronomy · #Advanced Neural Network Applications #Advanced Optical Sensing Technologies #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics and Sensor-Based Localization
  10. MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs
    2024/07/23 by Kil, Jihyung, Mai, Zheda, Lee, Justin +6 · 13 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  11. On the Importance and Applicability of Pre-Training for Federated Learning
    2022/06/23 by Hong-You Chen, Chen, Hong-You, Cheng-Hao Tu +7 · 7 citations
    Computer Science · Engineering · Social Sciences · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Traffic Prediction and Management Techniques
  12. Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
    2022/12/06 by Cheng-Hao Tu, Tu, Cheng-Hao, Zheda Mai +3 · 7 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques
  13. Summary Transfer: Exemplar-based Subset Selection for Video Summarization
    2016/03/10 by Ke Zhang, Wei‐Lun Chao, Zhang, Ke +5 · 5 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Music and Audio Processing #Video Analysis and Summarization
  14. Learning to Detect Mobile Objects from LiDAR Scans Without Labels
    2022/03/29 by You, Yurong, Luo, Katie Z, Phoo, Cheng Perng +5 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  15. Synthesized Classifiers for Zero-Shot Learning
    2016/03/02 by Soravit Changpinyo, Changpinyo, Soravit, Wei‐Lun Chao +5 · 4 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  16. Dual-View Visual Contextualization for Web Navigation
    2024/02/06 by Jihyung Kil, Kil, Jihyung, Chan Hee Song +9 · 8 citations
    Computer Science · Social Sciences · #Video Analysis and Summarization #Geographic Information Systems Studies #Web Data Mining and Analysis
  17. Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions
    2022/08/01 by Diaz-Ruiz, Carlos A., Xia, Youya, You, Yurong +11 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  18. Learning Answer Embeddings for Visual Question Answering
    2018/06/10 by Hexiang Hu, Wei‐Lun Chao, Hu, Hexiang +3 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  19. A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities
    2025/02/24 by Ye, Han-Jia, Liu, Si-Yang, Chao, Wei-Lun · 12 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Visual Question Answering on 360° Images
    2020/01/10 by Chou, Shih-Han, Chao, Wei-Lun, Lai, Wei-Sheng +2 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  21. Fine-Tuning is Fine, if Calibrated
    2024/09/24 by Zheda Mai, Mai, Zheda, Arpita Chowdhury +19 · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  22. BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
    2025/05/29 by Jianyang Gu, Gu, Jianyang, Samuel Stevens +28 · 13 citations
    Biochemistry, Genetics and Molecular Biology · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. PreSTU: Pre-Training for Scene-Text Understanding
    2022/09/12 by Jihyung Kil, Soravit Changpinyo, Kil, Jihyung +11 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques
  24. A New Defense Against Adversarial Images: Turning a Weakness into a Strength
    2019/10/16 by Yu, Tao, Hu, Shengyuan, Guo, Chuan +2 · 2 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  25. Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation
    2020/07/24 by Yang, Luyu, Wang, Yan, Gao, Mingfei +4 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. Few-Shot Learning with a Strong Teacher
    2021/07/01 by Ye, Han-Jia, Ming, Lu, Zhan, De-Chuan +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
    2024/07/03 by Han-Jia Ye, Ye, Han-Jia, Huai-Hong Yin +4 · 4 citations
    Engineering · #Urban Design and Spatial Analysis
  28. Gradual Domain Adaptation without Indexed Intermediate Domains
    2022/07/11 by Hong-You Chen, Wei‐Lun Chao, Chen, Hong-You +1 · 2 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Cancer-related molecular mechanisms research
  29. Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis
    2025/01/16 by Arpita Chowdhury, Chowdhury, Arpita, Dipanjyoti Paul +23 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction
  30. Interpretable and Testable Vision Features via Sparse Autoencoders
    2025/02/10 by Samuel Stevens, Wei‐Lun Chao, Stevens, Samuel +5 · 6 citations
    Biochemistry, Genetics and Molecular Biology · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  31. Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
    2024/09/24 by Zheda Mai, Mai, Zheda, Ping Zhang +9 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Neural Networks and Applications
  32. Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks
    2023/06/05 by Elhamod, Mohannad, Khurana, Mridul, Manogaran, Harish Babu +15 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  33. VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
    2024/08/28 by Md. Hasan Maruf, Maruf, M., Arka Daw +41 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  34. Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets
    2017/04/24 by Wei‐Lun Chao, Chao, Wei-Lun, Hexiang Hu +3 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  35. Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
    2020/01/06 by Han-Jia Ye, Ye, Han-Jia, Hong-You Chen +5 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Electricity Theft Detection Techniques #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  36. Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
    2024/07/10 by Kazi Sajeed Mehrab, Md. Hasan Maruf, Mehrab, Kazi Sajeed +33 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification
  37. Procrustean Training for Imbalanced Deep Learning
    2021/04/05 by Han-Jia Ye, De‐Chuan Zhan, Ye, Han-Jia +3 · 1 citation
    Computer Science · #Imbalanced Data Classification Techniques #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
  38. Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering
    2021/09/13 by Kil, Jihyung, Zhang, Cheng, Xuan, Dong +1 · 1 citation
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  39. Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
    2022/03/22 by You, Yurong, Luo, Katie Z, Chen, Xiangyu +6 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  40. Learning with Free Object Segments for Long-Tailed Instance Segmentation
    2022/02/22 by Zhang, Cheng, Pan, Tai-Yu, Chen, Tianle +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  41. Building Machine Learning Challenges for Anomaly Detection in Science
    2025/03/03 by Campolongo, Elizabeth G., Chou, Yuan-Tang, Govorkova, Ekaterina +147 · 3 citations
    #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG)
  42. TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation
    2025/06/02 by Monsefi, Amin Karimi, Khurana, Mridul, Ramnath, Rajiv +3 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  43. Unified Out-Of-Distribution Detection: A Model-Specific Perspective
    2023/04/13 by Reza Averly, Averly, Reza, Wei‐Lun Chao +1 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  44. Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation
    2025/01/20 by Zhang, Ziheng, Gu, Jianyang, Chowdhury, Arpita +5 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  45. Learning Fractals by Gradient Descent
    2023/03/14 by Tu, Cheng-Hao, Chen, Hong-You, Carlyn, David +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  46. Towards Open-World Segmentation of Parts
    2023/05/26 by Pan, Tai-Yu, Liu, Qing, Chao, Wei-Lun +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  47. Revisiting semi-supervised learning in the era of foundation models
    2025/03/12 by Zhang, Ping, Mai, Zheda, Nguyen, Quang-Huy +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  48. Learning 3D Perception from Others' Predictions
    2024/10/03 by Yoo, Jinsu, Feng, Zhenyang, Pan, Tai-Yu +7 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  49. Better Monocular 3D Detectors with LiDAR from the Past
    2024/04/08 by Yurong You, Cheng Perng Phoo, You, Yurong +13 · 1 citation
    Engineering · Physics and Astronomy · #Advanced Optical Sensing Technologies #Advanced Semiconductor Detectors and Materials #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO)
  50. Revisiting Meta-Learning as Supervised Learning
    2020/02/03 by Wei‐Lun Chao, Chao, Wei-Lun, Han-Jia Ye +7 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Machine Learning and Data Classification
  51. Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution
    2024/07/31 by Khurana, Mridul, Daw, Arka, Maruf, M. +12 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Populations and Evolution (q-bio.PE)
  52. Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
    2024/09/16 by Amin Karimi Monsefi, Monsefi, Amin Karimi, Mengxi Zhou +9 · 1 citation
    Engineering · #Image Processing Techniques and Applications
  53. DiffuBox: Refining 3D Object Detection with Point Diffusion
    2024/05/25 by Xiangyu Chen, Zhenzhen Liu, Chen, Xiangyu +23 · 1 citation
    Engineering · Computer Science · #Industrial Vision Systems and Defect Detection #Advanced Neural Network Applications #Image Processing and 3D Reconstruction
  54. KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models
    2024/10/02 by Pouyan Navard, Navard, Pouyan, Amin Karimi Monsefi +9 · 1 citation
    Arts and Humanities · Computer Science · Neuroscience · #Aesthetic Perception and Analysis #Art, Technology, and Culture #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Music Technology and Sound Studies
  55. Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene
    2025/02/10 by Pan, Tai-Yu, Jeon, Sooyoung, Fan, Mengdi +6 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  56. Static Segmentation by Tracking: A Label-Efficient Approach for Fine-Grained Specimen Image Segmentation
    2025/01/12 by Feng, Zhenyang, Wang, Zihe, Gu, Jianyang +22 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  57. Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective
    2025/11/11 by Lee, Justin, Mai, Zheda, Yoo, Jinsu +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  58. AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models
    2025/06/10 by Mai, Zheda, Zihe Wang, Chowdhury, Arpita +10 · 2 citations
    Computer Science · Materials Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science