Wei-Lun Chao

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 122

Top Venues

Publications

Jihyung Kil, Chan Hee Song, Boyuan Zheng, Xiang Deng, Yu Su, Wei-Lun Chao
Dual-View Visual Contextualization for Web Navigation. CoRR (2024)
Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. CoRR (2024)
Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao
Few-Shot Learning With a Strong Teacher. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Junan Chen, Josephine Monica, Wei-Lun Chao, Mark E. Campbell
Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization. CoRR (2023)
Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. NeurIPS (2023)
Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. CoRR (2023)
Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
Learning Fractals by Gradient Descent. CoRR (2023)
Jike Zhong, Hong-You Chen, Wei-Lun Chao
Making Batch Normalization Great in Federated Deep Learning. CoRR (2023)
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao
On the Importance and Applicability of Pre-Training for Federated Learning. ICLR (2023)
Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. GeoAI@SIGSPATIAL (2023)
Hong-You Chen, Jike Zhong, Mingda Zhang, Xuhui Jia, Hang Qi, Boqing Gong, Wei-Lun Chao, Li Zhang
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification. CoRR (2023)
Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning. CVPR (2023)
Tai-Yu Pan, Qing Liu, Wei-Lun Chao, Brian Price
Towards Open-World Segmentation of Parts. CoRR (2023)
Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. KDD (2023)
Reza Averly, Wei-Lun Chao
Unified Out-Of-Distribution Detection: A Model-Specific Perspective. ICCV (2023)
Chan Hee Song, Brian M. Sadler, Jiaman Wu, Wei-Lun Chao, Clayton Washington, Yu Su
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models. ICCV (2023)
Reza Averly, Wei-Lun Chao
Unified Out-Of-Distribution Detection: A Model-Specific Perspective. CoRR (2023)
Hong-You Chen, Yandong Li, Yin Cui, Mingda Zhang, Wei-Lun Chao, Li Zhang
Train-Once-for-All Personalization. CVPR (2023)
Youya Xia, Josephine Monica, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs. ICRA (2023)
Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut
PreSTU: Pre-Training for Scene-Text Understanding. ICCV (2023)
Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. CoRR (2023)
Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization. CoRR (2023)
Tai-Yu Pan, Qing Liu, Wei-Lun Chao, Brian Price
Towards Open-World Segmentation of Parts. CVPR (2023)
Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. CoRR (2023)
Samuel Stevens, Jiaman Wu, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M. Dahdul, Charles V. Stewart, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su
BIOCLIP: A Vision Foundation Model for the Tree of Life. CoRR (2023)
Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
Learning Fractals by Gradient Descent. AAAI (2023)
Junan Chen, Josephine Monica, Wei-Lun Chao, Mark E. Campbell
Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization. ICRA (2023)
Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. CoRR (2023)
Yurong You, Cheng Perng Phoo, Katie Z. Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving. CoRR (2023)
Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. CoRR (2023)
Tianle Chen, Zheda Mai, Ruiwen Li, Wei-Lun Chao
Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation. CoRR (2023)
Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. ICCV (Workshops) (2023)
Carlos Andres Diaz-Ruiz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. CoRR (2022)
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao
On Pre-Training for Federated Learning. CoRR (2022)
Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut
PreSTU: Pre-Training for Scene-Text Understanding. CoRR (2022)
Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars. ICRA (2022)
Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. ICLR (2022)
Josephine Monica, Wei-Lun Chao, Mark E. Campbell
Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling. ICRA (2022)
Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CVPR (2022)
Han-Jia Ye, Wei-Lun Chao
How to Train Your MAML to Excel in Few-Shot Classification. ICLR (2022)
Yurong You, Katie Z. Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CoRR (2022)
Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao
Learning with Free Object Segments for Long-Tailed Instance Segmentation. ECCV (10) (2022)
Youya Xia, Josephine Monica, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs. CoRR (2022)
Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones. CVPR (2022)
Yurong You, Cheng Perng Phoo, Katie Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving. NeurIPS (2022)
Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, Yu Su
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models. CoRR (2022)
Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. CoRR (2022)
Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fan Wang, Li Wang, Chiung-Ying Chiu, Wenchi Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. IEEE Trans. Medical Imaging 41 (11) (2022)
Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao
Learning with Free Object Segments for Long-Tailed Instance Segmentation. CoRR (2022)
Hong-You Chen, Wei-Lun Chao
Gradual Domain Adaptation without Indexed Intermediate Domains. CoRR (2022)
Carlos Andres Diaz-Ruiz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. CVPR (2022)
Hong-You Chen, Wei-Lun Chao
On Bridging Generic and Personalized Federated Learning for Image Classification. ICLR (2022)
Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning. CoRR (2022)
Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones. CoRR (2022)
Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fang Wang, Li Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. CoRR (2021)
Hong-You Chen, Wei-Lun Chao
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning. ICLR (2021)
Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection. CoRR (2021)
Hong-You Chen, Wei-Lun Chao
On Bridging Generic and Personalized Federated Learning. CoRR (2021)
Jihyung Kil, Cheng Zhang, Dong Xuan, Wei-Lun Chao
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering. EMNLP (1) (2021)
Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. ICCV (2021)
Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao
Procrustean Training for Imbalanced Deep Learning. CoRR (2021)
Jihyung Kil, Cheng Zhang, Dong Xuan, Wei-Lun Chao
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering. CoRR (2021)
Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao
Procrustean Training for Imbalanced Deep Learning. ICCV (2021)
Hong-You Chen, Wei-Lun Chao
Gradual Domain Adaptation without Indexed Intermediate Domains. NeurIPS (2021)
Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation. CoRR (2021)
Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao
Few-Shot Learning with a Strong Teacher. CoRR (2021)
Josephine Monica, Wei-Lun Chao, Mark Campbell
Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling. CoRR (2021)
Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. CoRR (2021)
Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation. NeurIPS (2021)
Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation. ICCV (2021)
Jihyung Kil, Wei-Lun Chao
Revisiting Document Representations for Large-Scale Zero-Shot Learning. NAACL-HLT (2021)
Han-Jia Ye, Wei-Lun Chao
How to Train Your MAML to Excel in Few-Shot Classification. CoRR (2021)
Jihyung Kil, Wei-Lun Chao
Revisiting Document Representations for Large-Scale Zero-Shot Learning. CoRR (2021)
Vikram Shree, Wei-Lun Chao, Mark E. Campbell
Interactive Natural Language-based Person Search. CoRR (2020)
Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize. CVPR (2020)
Vikram Shree, Wei-Lun Chao, Mark E. Campbell
An Empirical Study of Person Re-Identification with Attributes. CoRR (2020)
Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang
Visual Question Answering on 360° Images. WACV (2020)
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
Wasserstein Distances for Stereo Disparity Estimation. CoRR (2020)
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
Wasserstein Distances for Stereo Disparity Estimation. NeurIPS (2020)
Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation. CoRR (2020)
Vikram Shree, Wei-Lun Chao, Mark Campbell
Interactive Natural Language-Based Person Search. IEEE Robotics Autom. Lett. 5 (2) (2020)
Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize. CoRR (2020)
Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark E. Campbell, Kilian Q. Weinberger
Revisiting Meta-Learning as Supervised Learning. CoRR (2020)
Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, Wei-Lun Chao
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning. CoRR (2020)
Hong-You Chen, Wei-Lun Chao
FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning. CoRR (2020)
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. CVPR (2020)
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving. ICLR (2020)
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. CoRR (2020)
Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang
Visual Question Answering on 360° Images. CoRR (2020)
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha
Classifier and Exemplar Synthesis for Zero-Shot Learning. Int. J. Comput. Vis. 128 (1) (2020)
Cheng Zhang, Wei-Lun Chao, Dong Xuan
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering. BMVC (2019)
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. CVPR (2019)
Shengyuan Hu, Tao Yu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger
A New Defense Against Adversarial Images: Turning a Weakness into a Strength. NeurIPS (2019)
Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images. IEEE Robotics Autom. Lett. 4 (3) (2019)
Carlos Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Mark E. Campbell
Vision-only 3D Tracking for Self-Driving Cars. CASE (2019)
Cheng Zhang, Wei-Lun Chao, Dong Xuan
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering. CoRR (2019)
Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Laurens van der Maaten
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning. CoRR (2019)
Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images. CoRR (2019)
Tao Yu, Shengyuan Hu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger
A New Defense Against Adversarial Images: Turning a Weakness into a Strength. CoRR (2019)
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wei-Lun Chao