Wei-Lun Chao

196 papers A* 58A 5B 3C 2Misc 1Journal 116Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Rigorous Behavior Assessment of CNNs Using a Data-Domain Sampling Regime.
IEEE Trans. Vis. Comput. Graph.
Shuning Jiang, Wei-Lun Chao, Daniel Haehn, Hanspeter Pfister, Jian Chen
2026 J jnl
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation.
ACM Trans. Intell. Syst. Technol.
Changchang Yin, Hong-You Chen, Wei-Lun Chao, Ping Zhang
2026 J jnl
Lessons and Open Questions from a Unified Study of Camera-Trap Species Recognition Over Time.
CoRR
Sooyoung Jeon, Hongjie Tian, Lemeng Wang, Zheda Mai, Vidhi Bakshi, Jiacheng Hou, Ping Zhang, Arpita Chowdhury, Jianyang Gu, Wei-Lun Chao
2026 J jnl
On the Feasibility and Opportunity of Autoregressive 3D Object Detection.
CoRR
Zanming Huang, Jinsu Yoo, Sooyoung Jeon, Zhenzhen Liu, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao, Katie Z. Luo
2026 J jnl
Revisiting Model Stitching In the Foundation Model Era.
CoRR
Zheda Mai, Ke Zhang, Fu-En Wang, Zixiao Ken Wang, Albert Y. C. Chen, Lu Xia, Min Sun, Wei-Lun Chao, Cheng-Hao Kuo
2026 J jnl
TaxaAdapter: Vision Taxonomy Models are Key to Fine-grained Image Generation over the Tree of Life.
CoRR
Mridul Khurana, Amin Karimi Monsefi, Justin Lee, Medha Sawhney, David Carlyn, Julia Chae, Jianyang Gu, Rajiv Ramnath, Sara Beery, Wei-Lun Chao, Anuj Karpatne, Cheng Zhang
2026 J jnl
When the City Teaches the Car: Label-Free 3D Perception from Infrastructure.
CoRR
Zhen Xu, Jinsu Yoo, Cristian Bautista, Zanming Huang, Tai-Yu Pan, Zhenzhen Liu, Katie Z. Luo, Mark E. Campbell, Bharath Hariharan, Wei-Lun Chao
2025 J jnl
A Closer Look at TabPFN v2: Strength, Limitation, and Extension.
CoRR
Han-Jia Ye, Si-Yang Liu, Wei-Lun Chao
2025 J jnl
A Rigorous Behavior Assessment of CNNs Using a Data-Domain Sampling Regime.
CoRR
Shuning Jiang, Wei-Lun Chao, Daniel Haehn, Hanspeter Pfister, Jian Chen
2025 J jnl
AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models.
CoRR
Zheda Mai, Arpita Chowdhury, Zihe Wang, Sooyoung Jeon, Lemeng Wang, Jiacheng Hou, Jihyung Kil, Wei-Lun Chao
2025 J jnl
BeetleFlow: An Integrative Deep Learning Pipeline for Beetle Image Processing.
CoRR
Fangxun Liu, S. M. Rayeed, Samuel Stevens, Alyson East, Cheng Hsuan Chiang, Colin Lee, Daniel Yi, Junke Yang, Tejas Naik, Ziyi Wang, Connor Kilrain, Elijah H. Buckwalter, Jiacheng Hou, Saul Ibaven Bueno, Shuheng Wang, Xinyue Ma, Yifan Liu, Zhiyuan Tao, Ziheng Zhang, Eric R. Sokol, Michael Belitz, Sydne Record, Charles V. Stewart, Wei-Lun Chao
2025 J jnl
BioCAP: Exploiting Synthetic Captions Beyond Labels in Biological Foundation Models.
CoRR
Ziheng Zhang, Xinyue Ma, Arpita Chowdhury, Elizabeth G. Campolongo, Matthew J. Thompson, Net Zhang, Samuel Stevens, Hilmar Lapp, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao, Jianyang Gu
2025 J jnl
BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning.
CoRR
Jianyang Gu, Samuel Stevens, Elizabeth G. Campolongo, Matthew J. Thompson, Net Zhang, Jiaman Wu, Andrei Kopanev, Zheda Mai, Alexander E. White, James P. Balhoff, Wasila M. Dahdul, Daniel I. Rubenstein, Hilmar Lapp, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su
2025 J jnl
Building Machine Learning Challenges for Anomaly Detection in Science.
CoRR
Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova, Wahid Bhimji, Wei-Lun Chao, Chris Harris, Shih-Chieh Hsu, Hilmar Lapp, Mark S. Neubauer, Josephine M. Namayanja, Aneesh Subramanian, Philip C. Harris, Advaith Anand, David Edward Carlyn, Subhankar Ghosh, Christopher G. Lawrence, Eric A. Moreno, Ryan Raikman, Jiaman Wu, Ziheng Zhang, Bayu Adhi, Mohammad Ahmadi Gharehtoragh, Saúl Alonso-Monsalve, Marta Babicz, Furqan Baig, Namrata Banerji, William Bardon, Tyler Barna, Tanya Y. Berger-Wolf, Adji Bousso Dieng, Micah Brachman, Quentin Buat, David C. Y. Hui, Phuong Cao, Franco Cerino, Yi-Chun Chang, Shivaji Chaulagain, An-Kai Chen, Deming Chen, Eric Chen, Chia-Jui Chou, Zih-Chen Ciou, Miles Cochran-Branson, Artur Cordeiro Oudot Choi, Michael Coughlin, Matteo Cremonesi, Maria Dadarlat, Peter Darch, Malina Desai, Daniel Diaz, Steven Dillmann, Javier M. Duarte, Isla Duporge, Urbas Ekka, Saba Entezari Heravi, Hao Fang, Rian Flynn, Geoffrey Fox, Emily Freed, Hang Gao, Jing Gao, Julia Gonski, Matthew J. Graham, Abolfazl Hashemi, Scott Hauck, James Hazelden, Joshua Henry Peterson, Duc Hoang, Wei Hu, Mirco Hünnefeld, David Hyde, Vandana P. Janeja, Nattapon Jaroenchai, Haoyi Jia, Yunfan Kang, Maksim Kholiavchenko, Elham E Khoda, Sangin Kim, Aditya Kumar, Bo-Cheng Lai, Trung Le, Chi-Wei Lee, Janghyeon Lee, Shaocheng Lee, Suzan van der Lee, Charles Lewis, Haitong Li, Haoyang Li, Henry Liao, Mia Liu, Xiaolin Liu, Xiulong Liu, Vladimir Loncar, Fangzheng Lyu, Ilya Makarov, Abhishikth Mallampalli Chen-Yu Mao, Alexander Michels, Alexander Migala, Farouk Mokhtar, Mathieu Morlighem
2025 J jnl
Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective.
CoRR
Justin Lee, Zheda Mai, Jinsu Yoo, Chongyu Fan, Cheng Zhang, Wei-Lun Chao
2025 J jnl
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation.
CoRR
Changchang Yin, Hong-You Chen, Wei-Lun Chao, Ping Zhang
2025 A* conf
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation.
CVPR
Ziheng Zhang, Jianyang Gu, Arpita Chowdhury, Zheda Mai, David Carlyn, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
2025 J jnl
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation.
CoRR
Ziheng Zhang, Jianyang Gu, Arpita Chowdhury, Zheda Mai, David Carlyn, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
2025 J jnl
Finer-Personalization Rank: Fine-Grained Retrieval Examines Identity Preservation for Personalized Generation.
CoRR
Connor Kilrain, David Carlyn, Julia Chae, Sara Beery, Wei-Lun Chao, Jianyang Gu
2025 A* conf
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images.
CVPR
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 A* conf
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning.
ICLR
Amin Karimi Monsefi, Mengxi Zhou, Nastaran Karimi Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath
2025 J jnl
High-Fidelity Scientific Simulation Surrogates via Adaptive Implicit Neural Representations.
CoRR
Ziwei Li, Yuhan Duan, Tianyu Xiong, Yi-Tang Chen, Wei-Lun Chao, Han-Wei Shen
2025 A* conf
Learning 3D Perception from Others' Predictions.
ICLR
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 A* conf
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition.
CVPR
Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Quang-Huy Nguyen, Li Zhang, Wei-Lun Chao
2025 J jnl
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective.
CoRR
Jinsu Yoo, Sooyoung Jeon, Zanming Huang, Tai-Yu Pan, Wei-Lun Chao
2025 J jnl
Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration.
CoRR
Katie Z. Luo, Minh-Quan Dao, Zhenzhen Liu, Mark E. Campbell, Wei-Lun Chao, Kilian Q. Weinberger, Ezio Malis, Vincent Frémont, Bharath Hariharan, Mao Shan, Stewart Worrall, Julie Stephany Berrio Perez
2025 B conf
OmniMesh: Addressing Findability Challenges in Distributed Nature Data Repositories.
SSDBM
Arnab Nandi, Wei-Lun Chao, Rongjun Qin, Carl Boettiger, Hilmar Lapp, Tanya Y. Berger-Wolf
2025 J jnl
Prompt-CAM: A Simpler Interpretable Transformer for Fine-Grained Analysis.
CoRR
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 A* conf
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis.
CVPR
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 A* conf
Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later.
ICLR
Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan, Wei-Lun Chao
2025 J jnl
Revisiting semi-supervised learning in the era of foundation models.
CoRR
Ping Zhang, Zheda Mai, Quang-Huy Nguyen, Wei-Lun Chao
2025 J jnl
Sparse Autoencoders for Scientifically Rigorous Interpretation of Vision Models.
CoRR
Samuel Stevens, Wei-Lun Chao, Tanya Y. Berger-Wolf, Yu Su
2025 J jnl
Splannequin: Freezing Monocular Mannequin-Challenge Footage with Dual-Detection Splatting.
CoRR
Hao-Jen Chien, Yi-Chuan Huang, Chung-Ho Wu, Wei-Lun Chao, Yu-Lun Liu
2025 J jnl
Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation.
CoRR
Zhenyang Feng, Zihe Wang, Saul Ibaven Bueno, Tomasz Frelek, Advikaa Ramesh, Jingyan Bai, Lemeng Wang, Zanming Huang, Jianyang Gu, Jinsu Yoo, Tai-Yu Pan, Arpita Chowdhury, Michelle Ramirez, Elizabeth G. Campolongo, Matthew J. Thompson, Christopher G. Lawrence, Sydne Record, Neil Rosser, Anuj Karpatne, Daniel I. Rubenstein, Hilmar Lapp, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
2025 J jnl
TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation.
CoRR
Amin Karimi Monsefi, Mridul Khurana, Rajiv Ramnath, Anuj Karpatne, Wei-Lun Chao, Cheng Zhang
2025 A* conf
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene.
CVPR
Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan, Jinsu Yoo, Zhenyang Feng, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2025 J jnl
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene.
CoRR
Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan, Jinsu Yoo, Zhenyang Feng, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2025 A* conf
What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits.
ICLR
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
2024 A* conf
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis.
ICLR
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 A* conf
Better Monocular 3D Detectors with LiDAR from the Past.
ICRA
Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
2024 J jnl
Better Monocular 3D Detectors with LiDAR from the Past.
CoRR
Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
2024 A* conf
BioCLIP: A Vision Foundation Model for the Tree of Life.
CVPR
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 J jnl
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs.
CoRR
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 J jnl
CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs.
CoRR
Jihyung Kil, Zheda Mai, Justin Lee, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Arpita Chowdhury, Wei-Lun Chao
2024 A* conf
DiffuBox: Refining 3D Object Detection with Point Diffusion.
NeurIPS
Xiangyu Chen, Zhenzhen Liu, Katie Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
2024 J jnl
DiffuBox: Refining 3D Object Detection with Point Diffusion.
CoRR
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
2024 A* conf
Dual-View Visual Contextualization for Web Navigation.
CVPR
Jihyung Kil, Chan Hee Song, Boyuan Zheng, Xiang Deng, Yu Su, Wei-Lun Chao
2024 J jnl
Dual-View Visual Contextualization for Web Navigation.
CoRR
Jihyung Kil, Chan Hee Song, Boyuan Zheng, Xiang Deng, Yu Su, Wei-Lun Chao
2024 A* conf
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction.
NeurIPS
Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao
2024 J jnl
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction.
CoRR
Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao
2024 J jnl
Few-Shot Learning With a Strong Teacher.
IEEE Trans. Pattern Anal. Mach. Intell.
Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao
2024 A* conf
Fine-Tuning is Fine, if Calibrated.
NeurIPS
Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao
2024 J jnl
Fine-Tuning is Fine, if Calibrated.
CoRR
Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao
2024 J jnl
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images.
CoRR
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
2024 J jnl
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning.
CoRR
Amin Karimi Monsefi, Mengxi Zhou, Nastaran Karimi Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath
2024 — conf
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution.
ECCV (89)
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 J jnl
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution.
CoRR
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 J jnl
Jigsaw Game: Federated Clustering.
CoRR
Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang
2024 J jnl
Jigsaw Game: Federated Clustering.
Trans. Mach. Learn. Res.
Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang
2024 J jnl
KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models.
CoRR
Pouyan Navard, Amin Karimi Monsefi, Mengxi Zhou, Wei-Lun Chao, Alper Yilmaz, Rajiv Ramnath
2024 J jnl
Learning 3D Perception from Others' Predictions.
CoRR
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
2024 J jnl
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition.
CoRR
Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Li Zhang, Wei-Lun Chao
2024 A* conf
MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs.
NeurIPS
Jihyung Kil, Zheda Mai, Justin Lee, Arpita Chowdhury, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Wei-Lun Chao
2024 A* conf
Pre-training LiDAR-based 3D Object Detectors through Colorization.
ICLR
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 A conf
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs.
CIKM
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 A* conf
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images.
NeurIPS
M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Harish Babu Manogaran, Abhilash Neog, Medha Sawhney, Mridul Khurana, James P. Balhoff, Yasin Bakis, Bahadir Altintas, Matthew J. Thompson, Elizabeth G. Campolongo, Josef C. Uyeda, Hilmar Lapp, Henry L. Bart Jr., Paula M. Mabee, Yu Su, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Wasila M. Dahdul, Anuj Karpatne
2024 J jnl
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images.
CoRR
M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Harish Babu Manogaran, Abhilash Neog, Medha Sawhney, Mridul Khurana, James P. Balhoff, Yasin Bakis, Bahadir Altintas, Matthew J. Thompson, Elizabeth G. Campolongo, Josef C. Uyeda, Hilmar Lapp, Henry L. Bart Jr., Paula M. Mabee, Yu Su, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Wasila M. Dahdul, Anuj Karpatne
2023 J jnl
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis.
CoRR
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
2023 J jnl
Active and Low-Cost Hyperspectral Imaging for the Spectral Analysis of a Low-Light Environment.
Sensors
Yang Tang, Shuang Song, Shengxi Gui, Wei-Lun Chao, Chinmin Cheng, Rongjun Qin
2023 J jnl
BIOCLIP: A Vision Foundation Model for the Tree of Life.
CoRR
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
2023 A* conf
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks.
KDD
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
2023 J jnl
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks.
CoRR
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
2023 — conf
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows.
GeoAI@SIGSPATIAL
Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber
2023 J jnl
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows.
CoRR
Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber
2023 J jnl
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification.
CoRR
Hong-You Chen, Jike Zhong, Mingda Zhang, Xuhui Jia, Hang Qi, Boqing Gong, Wei-Lun Chao, Li Zhang
2023 A* conf
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.
NeurIPS
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
2023 J jnl
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.
CoRR
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
2023 A* conf
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs.
ICRA
Youya Xia, Josephine Monica, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
2023 A* conf
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models.
ICCV
Chan Hee Song, Brian M. Sadler, Jiaman Wu, Wei-Lun Chao, Clayton Washington, Yu Su
2023 A* conf
Learning Fractals by Gradient Descent.
AAAI
Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
2023 J jnl
Learning Fractals by Gradient Descent.
CoRR
Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
2023 J jnl
Making Batch Normalization Great in Federated Deep Learning.
CoRR
Jike Zhong, Hong-You Chen, Wei-Lun Chao
2023 A* conf
On the Importance and Applicability of Pre-Training for Federated Learning.
ICLR
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao
2023 J jnl
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization.
CoRR
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
2023 A* conf
PreSTU: Pre-Training for Scene-Text Understanding.
ICCV
Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut
2023 A* conf
Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization.
ICRA
Junan Chen, Josephine Monica, Wei-Lun Chao, Mark E. Campbell
2023 J jnl
Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization.
CoRR
Junan Chen, Josephine Monica, Wei-Lun Chao, Mark E. Campbell
2023 J jnl
Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation.
CoRR
Tianle Chen, Zheda Mai, Ruiwen Li, Wei-Lun Chao
2023 A* conf
Towards Open-World Segmentation of Parts.
CVPR
Tai-Yu Pan, Qing Liu, Wei-Lun Chao, Brian L. Price
2023 J jnl
Towards Open-World Segmentation of Parts.
CoRR
Tai-Yu Pan, Qing Liu, Wei-Lun Chao, Brian L. Price
2023 A* conf
Train-Once-for-All Personalization.
CVPR
Hong-You Chen, Yandong Li, Yin Cui, Mingda Zhang, Wei-Lun Chao, Li Zhang
2023 A* conf
Unified Out-Of-Distribution Detection: A Model-Specific Perspective.
ICCV
Reza Averly, Wei-Lun Chao
2023 J jnl
Unified Out-Of-Distribution Detection: A Model-Specific Perspective.
CoRR
Reza Averly, Wei-Lun Chao
2023 J jnl
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving.
CoRR
Yurong You, Cheng Perng Phoo, Katie Z. Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2023 — conf
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features.
ICCV (Workshops)
Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2023 J jnl
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features.
CoRR
Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2023 J jnl
Visual Analytics on Network Forgetting for Task-Incremental Learning.
Comput. Graph. Forum
Ziwei Li, Jiayi Xu, Wei-Lun Chao, Han-Wei Shen
2023 A* conf
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning.
CVPR
Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao
2022 A* conf
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars.
ICRA
Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022 J jnl
Gradual Domain Adaptation without Indexed Intermediate Domains.
CoRR
Hong-You Chen, Wei-Lun Chao
2022 A* conf
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception.
ICLR
Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022 J jnl
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception.
CoRR
Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022 A* conf
How to Train Your MAML to Excel in Few-Shot Classification.
ICLR
Han-Jia Ye, Wei-Lun Chao
2022 J jnl
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs.
CoRR
Youya Xia, Josephine Monica, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell
2022 A* conf
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions.
CVPR
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 J jnl
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions.
CoRR
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
2022 J jnl
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models.
CoRR
Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, Yu Su
2022 A* conf
Learning to Detect Mobile Objects from LiDAR Scans Without Labels.
CVPR
Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022 J jnl
Learning to Detect Mobile Objects from LiDAR Scans Without Labels.
CoRR
Yurong You, Katie Z. Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022 — conf
Learning with Free Object Segments for Long-Tailed Instance Segmentation.
ECCV (10)
Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao
2022 J jnl
Learning with Free Object Segments for Long-Tailed Instance Segmentation.
CoRR
Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao
2022 A* conf
On Bridging Generic and Personalized Federated Learning for Image Classification.
ICLR
Hong-You Chen, Wei-Lun Chao
2022 J jnl
On Pre-Training for Federated Learning.
CoRR
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao
2022 A* conf
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones.
CVPR
Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su
2022 J jnl
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones.
CoRR
Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su
2022 J jnl
PreSTU: Pre-Training for Scene-Text Understanding.
CoRR
Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut
2022 A* conf
Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling.
ICRA
Josephine Monica, Wei-Lun Chao, Mark E. Campbell
2022 J jnl
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
IEEE Trans. Medical Imaging
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
2022 A* conf
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving.
NeurIPS
Yurong You, Cheng Perng Phoo, Katie Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
2022 J jnl
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning.
CoRR
Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao
2021 J jnl
A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.
CoRR
Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
2021 A* conf
Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation.
ICCV
Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
2021 — conf
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering.
EMNLP (1)
Jihyung Kil, Cheng Zhang, Dong Xuan, Wei-Lun Chao
2021 J jnl
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering.
CoRR
Jihyung Kil, Cheng Zhang, Dong Xuan, Wei-Lun Chao
2021 J jnl
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection.
CoRR
Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
2021 A* conf
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning.
ICLR
Hong-You Chen, Wei-Lun Chao
2021 J jnl
Few-Shot Learning with a Strong Teacher.
CoRR
Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao
2021 A* conf
Gradual Domain Adaptation without Indexed Intermediate Domains.
NeurIPS
Hong-You Chen, Wei-Lun Chao
2021 J jnl
How to Train Your MAML to Excel in Few-Shot Classification.
CoRR
Han-Jia Ye, Wei-Lun Chao
2021 A* conf
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.
ICCV
Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
2021 J jnl
On Bridging Generic and Personalized Federated Learning.
CoRR
Hong-You Chen, Wei-Lun Chao
2021 A* conf
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation.
NeurIPS
Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
2021 J jnl
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation.
CoRR
Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
2021 A* conf
Procrustean Training for Imbalanced Deep Learning.
ICCV
Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao
2021 J jnl
Procrustean Training for Imbalanced Deep Learning.
CoRR
Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao
2021 — conf
Revisiting Document Representations for Large-Scale Zero-Shot Learning.
NAACL-HLT
Jihyung Kil, Wei-Lun Chao
2021 J jnl
Revisiting Document Representations for Large-Scale Zero-Shot Learning.
CoRR
Jihyung Kil, Wei-Lun Chao
2021 J jnl
Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling.
CoRR
Josephine Monica, Wei-Lun Chao, Mark E. Campbell
2021 J jnl
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
CoRR
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
2020 J jnl
An Empirical Study of Person Re-Identification with Attributes.
CoRR
Vikram Shree, Wei-Lun Chao, Mark E. Campbell
2020 J jnl
Classifier and Exemplar Synthesis for Zero-Shot Learning.
Int. J. Comput. Vis.
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha
2020 A* conf
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection.
CVPR
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020 J jnl
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection.
CoRR
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020 J jnl
FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning.
CoRR
Hong-You Chen, Wei-Lun Chao
2020 J jnl
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning.
CoRR
Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, Wei-Lun Chao
2020 J jnl
Interactive Natural Language-Based Person Search.
IEEE Robotics Autom. Lett.
Vikram Shree, Wei-Lun Chao, Mark Campbell
2020 J jnl
Interactive Natural Language-based Person Search.
CoRR
Vikram Shree, Wei-Lun Chao, Mark E. Campbell
2020 J jnl
MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation.
CoRR
Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
2020 A* conf
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving.
ICLR
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2020 J jnl
Revisiting Meta-Learning as Supervised Learning.
CoRR
Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark E. Campbell, Kilian Q. Weinberger
2020 J jnl
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize.
CoRR
Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020 A* conf
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize.
CVPR
Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020 A conf
Visual Question Answering on 360° Images.
WACV
Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang
2020 J jnl
Visual Question Answering on 360° Images.
CoRR
Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang
2020 A* conf
Wasserstein Distances for Stereo Disparity Estimation.
NeurIPS
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020 J jnl
Wasserstein Distances for Stereo Disparity Estimation.
CoRR
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2019 A* conf
A New Defense Against Adversarial Images: Turning a Weakness into a Strength.
NeurIPS
Shengyuan Hu, Tao Yu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger
2019 J jnl
A New Defense Against Adversarial Images: Turning a Weakness into a Strength.
CoRR
Tao Yu, Shengyuan Hu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger
2019 B conf
An Empirical Study of Person Re-Identification with Attributes.
RO-MAN
Vikram Shree, Wei-Lun Chao, Mark E. Campbell
2019 A conf
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering.
BMVC
Cheng Zhang, Wei-Lun Chao, Dong Xuan
2019 J jnl
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering.
CoRR
Cheng Zhang, Wei-Lun Chao, Dong Xuan
2019 J jnl
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images.
CoRR
Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
2019 J jnl
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images.
IEEE Robotics Autom. Lett.
Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell
2019 A* conf
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.
CVPR
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2019 J jnl
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving.
CoRR
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
2019 J jnl
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.
CoRR
Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Laurens van der Maaten
2019 — conf
Vision-only 3D Tracking for Self-Driving Cars.
CASE
Carlos Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Mark E. Campbell
2018 — conf
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets.
NAACL-HLT
Wei-Lun Chao, Hexiang Hu, Fei Sha
2018 J jnl
Classifier and Exemplar Synthesis for Zero-Shot Learning.
CoRR
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha
2018 A* conf
Cross-Dataset Adaptation for Visual Question Answering.
CVPR
Wei-Lun Chao, Hexiang Hu, Fei Sha
2018 J jnl
Cross-Dataset Adaptation for Visual Question Answering.
CoRR
Wei-Lun Chao, Hexiang Hu, Fei Sha
2018 A* conf
Learning Answer Embeddings for Visual Question Answering.
CVPR
Hexiang Hu, Wei-Lun Chao, Fei Sha
2018 J jnl
Learning Answer Embeddings for Visual Question Answering.
CoRR
Hexiang Hu, Wei-Lun Chao, Fei Sha
2018 J jnl
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.
CoRR
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
2017 J jnl
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets.
CoRR
Wei-Lun Chao, Hexiang Hu, Fei Sha
2017 A* conf
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning.
ICCV
Soravit Changpinyo, Wei-Lun Chao, Fei Sha
2016 — conf
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild.
ECCV (2)
Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, Fei Sha
2016 J jnl
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild.
CoRR
Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, Fei Sha
2016 J jnl
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning.
CoRR
Soravit Changpinyo, Wei-Lun Chao, Fei Sha
2016 A* conf
Summary Transfer: Exemplar-Based Subset Selection for Video Summarization.
CVPR
Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman
2016 J jnl
Summary Transfer: Exemplar-based Subset Selection for Video Summarization.
CoRR
Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman
2016 A* conf
Synthesized Classifiers for Zero-Shot Learning.
CVPR
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha
2016 J jnl
Synthesized Classifiers for Zero-Shot Learning.
CoRR
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha
2016 — conf
Video Summarization with Long Short-Term Memory.
ECCV (7)
Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman
2016 J jnl
Video Summarization with Long Short-term Memory.
CoRR
Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman
2015 A* conf
Exponential Integration for Hamiltonian Monte Carlo.
ICML
Wei-Lun Chao, Justin Solomon, Dominik L. Michels, Fei Sha
2015 J jnl
Facial expression recognition based on improved local binary pattern and class-regularized locality preserving projection.
Signal Process.
Wei-Lun Chao, Jian-Jiun Ding, Jun-Zuo Liu
2015 A conf
Large-Margin Determinantal Point Processes.
UAI
Wei-Lun Chao, Boqing Gong, Kristen Grauman, Fei Sha
2014 — conf
Diverse Sequential Subset Selection for Supervised Video Summarization.
NIPS
Boqing Gong, Wei-Lun Chao, Kristen Grauman, Fei Sha
2014 J jnl
Large-Margin Determinantal Point Processes.
CoRR
Boqing Gong, Wei-Lun Chao, Kristen Grauman, Fei Sha
2013 J jnl
Facial age estimation based on label-sensitive learning and age-oriented regression.
Pattern Recognit.
Wei-Lun Chao, Jun-Zuo Liu, Jian-Jiun Ding
2013 C conf
Facial expression recognition using expression-specific local binary patterns and layer denoising mechanism.
ICICS
Wei-Lun Chao, Jun-Zuo Liu, Jian-Jiun Ding, Po-Hung Wu
2012 Misc conf
Facial age estimation based on label-sensitive learning and age-specific local regression.
ICASSP
Wei-Lun Chao, Jun-Zuo Liu, Jian-Jiun Ding
2011 A conf
Coarse-to-fine temporal optimization for video retargeting based on seam carving.
ICME
Wei-Lun Chao, Hsiao-Hang Su, Shao-Yi Chien, Winston H. Hsu, Jian-Jiun Ding
2011 C conf
Muscle injury determination by image segmentation.
VCIP
Jian-Jiun Ding, Yu-Hsiang Wang, Lee-Lin Hu, Wei-Lun Chao, Yio-Wha Shau
2010 B conf
Asymmetric fourier descriptor of non-closed segments.
ICIP
Jian-Jiun Ding, Wei-Lun Chao, Jiun-De Huang, Cheng-Jin Kuo