Wei-Lun Chao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
67
Venues
19
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
67 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Splannequin: Freezing Monocular Mannequin-Challenge Footage with Dual-Detection Splatting. | Hao-Jen Chien, Yi-Chuan Huang, Chung-Ho Wu, Wei-Lun Chao, Yu-Lun Liu |
| 2026 | WACV | Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting. | Quang-Huy Nguyen, Jin Peng Zhou, Zhenzhen Liu, Khanh-Huyen Bui, Kilian Q. Weinberger, Wei-Lun Chao, Dung D. Le |
| 2025 | CVPR | Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis. | Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai, Jianyang Gu, Ziheng Zhang, Kazi Sajeed Mehrab, Elizabeth G. Campolongo, Daniel I. Rubenstein, Charles V. Stewart, Anuj Karpatne, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao |
| 2025 | CVPR | Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition. | Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Quang-Huy Nguyen, Li Zhang, Wei-Lun Chao |
| 2025 | CVPR | Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images. | Kazi Sajeed Mehrab, M. Maruf, Arka Daw, Abhilash Neog, Harish Babu Manogaran, Mridul Khurana, Zhenyang Feng, Bahadir Altintas, Yasin Bakis, Elizabeth G. Campolongo, Matthew J. Thompson, Xiaojun Wang, Hilmar Lapp, Tanya Y. Berger-Wolf, Paula M. Mabee, Henry L. Bart Jr., Wei-Lun Chao, Wasila M. Dahdul, Anuj Karpatne |
| 2025 | CVPR | Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene. | Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan, Jinsu Yoo, Zhenyang Feng, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao |
| 2025 | CVPR | Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation. | Ziheng Zhang, Jianyang Gu, Arpita Chowdhury, Zheda Mai, David Carlyn, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao |
| 2025 | ICCV | Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration. | Katie Z. Luo, Minh-Quan Dao, Zhenzhen Liu, Mark E. Campbell, Wei-Lun Chao, Kilian Q. Weinberger, Ezio Malis, Vincent Frmont, Bharath Hariharan, Mao Shan, Stewart Worrall, Julie Stephany Berrio Perez |
| 2025 | ICCV | Taxadiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation. | Amin Karimi Monsefi, Mridul Khurana, Rajiv Ramnath, Anuj Karpatne, Wei-Lun Chao, Cheng Zhang |
| 2025 | ICLR | What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits. | Harish Babu Manogaran, M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Caleb Patrick Charpentier, Josef C. Uyeda, Wasila M. Dahdul, Matthew J. Thompson, Elizabeth G. Campolongo, Kaiya L. Provost, Wei-Lun Chao, Tanya Y. Berger-Wolf, Paula M. Mabee, Hilmar Lapp, Anuj Karpatne |
| 2025 | ICLR | Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning. | Amin Karimi Monsefi, Mengxi Zhou, Nastaran Karimi Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath |
| 2025 | ICLR | Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later. | Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan, Wei-Lun Chao |
| 2025 | ICLR | Learning 3D Perception from Others' Predictions. | Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao |
| 2025 | SSDBM | OmniMesh: Addressing Findability Challenges in Distributed Nature Data Repositories. | Arnab Nandi, Wei-Lun Chao, Rongjun Qin, Carl Boettiger, Hilmar Lapp, Tanya Y. Berger-Wolf |
| 2024 | CIKM | Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs. | 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 |
| 2024 | CVPR | Dual-View Visual Contextualization for Web Navigation. | Jihyung Kil, Chan Hee Song, Boyuan Zheng, Xiang Deng, Yu Su, Wei-Lun Chao |
| 2024 | CVPR | BioCLIP: A Vision Foundation Model for the Tree of Life. | 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 |
| 2024 | ECCV | Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution. | Mridul Khurana, Arka Daw, M. Maruf, Josef C. Uyeda, Wasila M. Dahdul, Caleb Charpentier, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Anuj Karpatne |
| 2024 | ICLR | Pre-training LiDAR-based 3D Object Detectors through Colorization. | 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 |
| 2024 | ICLR | A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. | 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 |
| 2024 | ICRA | Better Monocular 3D Detectors with LiDAR from the Past. | Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger |
| 2023 | AAAI | Learning Fractals by Gradient Descent. | Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao |
| 2023 | CVPR | Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning. | Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao |
| 2023 | CVPR | Train-Once-for-All Personalization. | Hong-You Chen, Yandong Li, Yin Cui, Mingda Zhang, Wei-Lun Chao, Li Zhang |
| 2023 | CVPR | Towards Open-World Segmentation of Parts. | Tai-Yu Pan, Qing Liu, Wei-Lun Chao, Brian L. Price |
| 2023 | ICCV | Unified Out-Of-Distribution Detection: A Model-Specific Perspective. | Reza Averly, Wei-Lun Chao |
| 2023 | ICCV | PreSTU: Pre-Training for Scene-Text Understanding. | Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut |
| 2023 | ICCV | LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models. | Chan Hee Song, Brian M. Sadler, Jiaman Wu, Wei-Lun Chao, Clayton Washington, Yu Su |
| 2023 | ICLR | On the Importance and Applicability of Pre-Training for Federated Learning. | Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao |
| 2023 | ICRA | Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization. | Junan Chen, Josephine Monica, Wei-Lun Chao, Mark E. Campbell |
| 2023 | ICRA | Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs. | Youya Xia, Josephine Monica, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell |
| 2023 | KDD | Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. | 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 |
| 2022 | CVPR | Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. | 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 |
| 2022 | CVPR | One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones. | Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su |
| 2022 | CVPR | Learning to Detect Mobile Objects from LiDAR Scans Without Labels. | Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2022 | ECCV | Learning with Free Object Segments for Long-Tailed Instance Segmentation. | Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao |
| 2022 | ICLR | On Bridging Generic and Personalized Federated Learning for Image Classification. | Hong-You Chen, Wei-Lun Chao |
| 2022 | ICLR | How to Train Your MAML to Excel in Few-Shot Classification. | Han-Jia Ye, Wei-Lun Chao |
| 2022 | ICLR | Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. | Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2022 | ICRA | Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling. | Josephine Monica, Wei-Lun Chao, Mark E. Campbell |
| 2022 | ICRA | Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars. | Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2021 | EMNLP | Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering. | Jihyung Kil, Cheng Zhang, Dong Xuan, Wei-Lun Chao |
| 2021 | ICCV | Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation. | Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim |
| 2021 | ICCV | Procrustean Training for Imbalanced Deep Learning. | Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao |
| 2021 | ICCV | MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. | Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao |
| 2021 | ICLR | FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning. | Hong-You Chen, Wei-Lun Chao |
| 2021 | NAACL | Revisiting Document Representations for Large-Scale Zero-Shot Learning. | Jihyung Kil, Wei-Lun Chao |
| 2020 | CVPR | End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. | Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao |
| 2020 | CVPR | Train in Germany, Test in the USA: Making 3D Object Detectors Generalize. | Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao |
| 2020 | ICLR | Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving. | Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2020 | WACV | Visual Question Answering on 360° Images. | Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang |
| 2019 | BMVC | An Empirical Study on Leveraging Scene Graphs for Visual Question Answering. | Cheng Zhang, Wei-Lun Chao, Dong Xuan |
| 2019 | CVPR | Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. | Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2019 | RO-MAN | An Empirical Study of Person Re-Identification with Attributes. | Vikram Shree, Wei-Lun Chao, Mark E. Campbell |
| 2018 | CVPR | Cross-Dataset Adaptation for Visual Question Answering. | Wei-Lun Chao, Hexiang Hu, Fei Sha |
| 2018 | CVPR | Learning Answer Embeddings for Visual Question Answering. | Hexiang Hu, Wei-Lun Chao, Fei Sha |
| 2018 | NAACL | Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets. | Wei-Lun Chao, Hexiang Hu, Fei Sha |
| 2017 | ICCV | Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning. | Soravit Changpinyo, Wei-Lun Chao, Fei Sha |
| 2016 | CVPR | Synthesized Classifiers for Zero-Shot Learning. | Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha |
| 2016 | CVPR | Summary Transfer: Exemplar-Based Subset Selection for Video Summarization. | Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman |
| 2016 | ECCV | An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild. | Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, Fei Sha |
| 2016 | ECCV | Video Summarization with Long Short-Term Memory. | Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman |
| 2015 | ICML | Exponential Integration for Hamiltonian Monte Carlo. | Wei-Lun Chao, Justin Solomon, Dominik L. Michels, Fei Sha |
| 2015 | UAI | Large-Margin Determinantal Point Processes. | Wei-Lun Chao, Boqing Gong, Kristen Grauman, Fei Sha |
| 2012 | ICASSP | Facial age estimation based on label-sensitive learning and age-specific local regression. | Wei-Lun Chao, Jun-Zuo Liu, Jian-Jiun Ding |
| 2011 | VCIP | Muscle injury determination by image segmentation. | Jian-Jiun Ding, Yu-Hsiang Wang, Lee-Lin Hu, Wei-Lun Chao, Yio-Wha Shau |
| 2010 | ICIP | Asymmetric fourier descriptor of non-closed segments. | Jian-Jiun Ding, Wei-Lun Chao, Jiun-De Huang, Cheng-Jin Kuo |