Wei-Lun Chao

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 129

Top Venues

Publications

Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
Pre-training LiDAR-based 3D Object Detectors through Colorization. ICLR (2024)
Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
Better Monocular 3D Detectors with LiDAR from the Past. ICRA (2024)
Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang
Jigsaw Game: Federated Clustering. Trans. Mach. Learn. Res. 2024 (2024)
Jihyung Kil, Chan Hee Song, Boyuan Zheng, Xiang Deng, Yu Su, Wei-Lun Chao
Dual-View Visual Contextualization for Web Navigation. CoRR (2024)
Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
Better Monocular 3D Detectors with LiDAR from the Past. 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)
Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang
Jigsaw Game: Federated Clustering. CoRR (2024)
Xiangyu Chen, Zhenzhen Liu, Katie Z. Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
DiffuBox: Refining 3D Object Detection with Point Diffusion. CoRR (2024)
Kazi Sajeed Mehrab, M. Maruf, Arka Daw, Harish Babu Manogaran, Abhilash Neog, Mridul Khurana, Bahadir Altintas, Yasin Bakis, Elizabeth G. Campolongo, Matthew J. Thompson, Xiaojun Wang, Hilmar Lapp, Wei-Lun Chao, Paula M. Mabee, Henry L. Bart Jr., Wasila M. Dahdul, Anuj Karpatne
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images. 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)
Jihyung Kil, Zheda Mai, Justin Lee, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Arpita Chowdhury, Wei-Lun Chao
CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs. CoRR (2024)
Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Edward 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. ICLR (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)
Ziwei Li, Jiayi Xu, Wei-Lun Chao, Han-Wei Shen
Visual Analytics on Network Forgetting for Task-Incremental Learning. Comput. Graph. Forum 42 (3) (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wei-Lun Chao