Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning
Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang, Tomas Pfister
WACV 2023 / Paper
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types
Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister
WACV 2023 / Paper
Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O Arik, Chen-Yu Lee, Tomas Pfister
TMLR 2022 / Paper
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister
ECCV 2022 / Paper / Code
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
Chen-Yu Lee, Chun-Liang Li, Timothy Dozat, Vincent Perot, Guolong Su, Nan Hua, Joshua Ainslie, Renshen Wang, Yasuhisa Fujii, Tomas Pfister
ACL 2022 / Paper / Google AI Blog
Learning to Prompt for Continual Learning
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister
CVPR 2022 / Paper / Code / Google AI Blog
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
AAAI 2022 / Paper / Google AI Blog
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction
Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok Popat, Tomas Pfister
ACL 2021 / Paper (Oral Presentation)
Learning to Branch for Multi-Task Learning
Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht
ICML 2020 / Paper
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht
CVPR 2019 / Paper / Code / ML Journal
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich
ICML 2018 / Paper
RoomNet: End-to-End Room Layout Estimation
Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich
ICCV 2017 / Paper
Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree
Chen-Yu Lee, Patrick Gallagher, Zhuowen Tu
TPAMI 2017 / Paper
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Chen-Yu Lee and Simon Osindero
CVPR 2016 / Paper
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee, Patrick Gallagher, Zhuowen Tu
AISTATS 2016 / Paper / Code
Deeply-Supervised Nets
Chen-Yu Lee*, Saining Xie*, Patrick Gallagher, Zhengyou Zhang, Zhuowen Tu (*equal contribution)
AISTATS 2015 / Paper / Code
NIPS 2014 Workshop / Paper (Oral Presentation)
Region-based Discriminative Feature Pooling for Scene Text Recognition
Chen-Yu Lee, Anurag Bhardwaj, Wei Di, Vignesh Jagadeesh, Robinson Piramuthu
CVPR 2014 / Paper
Tracking Epithelial Cell Junctions in C. elegans Embryogenesis with Active Contours Guided by SIFT Flow
Sukryool Kang, Chen-Yu Lee, Monira Goncalves, Andrew Chisholm, Pamela Cosman
TBME 2014 / Paper
Automated Cell Junction Tracking with Modified Active Contours Guided by SIFT Flow
Chen-Yu Lee, Sukryool Kang, Andrew Chisholm, Pamela Cosman
ISBI 2014 / Paper / Demo
Smoke Detection Using Spatial and Temporal Analyses
Chen-Yu Lee, Chin-Teng Lin, Chao-Ting Hong, Miin-Tsair Su
IJICIC 2012 / Paper
Spatio‐temporal Analysis in Smoke Detection
Chen-Yu Lee, Chin‐Teng Lin, Chao‐Ting Hong
ICSIPA 2009 / Paper / Project Page