Learning to Branch for Multi-Task Learning
Pengsheng Guo, Chen-Yu Lee, and Daniel Ulbricht
ICML 2020 / Paper
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, and 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, and Andrew Rabinovich
ICML 2018 / Paper
RoomNet: End-to-End Room Layout Estimation
Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, and Andrew Rabinovich
ICCV 2017 / Paper
Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree
Chen-Yu Lee, Patrick Gallagher, and 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, and Zhuowen Tu
AISTATS 2016 / Paper / Code
Deeply-Supervised Nets
Chen-Yu Lee*, Saining Xie*, Patrick Gallagher, Zhengyou Zhang, and 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, and 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, and Pamela Cosman
TBME 2014 / Paper
Automated Cell Junction Tracking with Modified Active Contours Guided by SIFT Flow
Chen-Yu Lee, Sukryool Kang, Andrew Chisholm, and Pamela Cosman
ISBI 2014 / Paper / Demo
Smoke Detection Using Spatial and Temporal Analyses
Chen-Yu Lee, Chin-Teng Lin, Chao-Ting Hong, and Miin-Tsair Su
IJICIC 2012 / Paper
Spatio‐temporal Analysis in Smoke Detection
Chen-Yu Lee, Chin‐Teng Lin, and Chao‐Ting Hong
ICSIPA 2009 / Paper / Project Page
