Chen-Yu Lee

Chen-Yu Lee










About Me

I received my PhD at UC San Diego in 2016, advised by Professors Zhuowen Tu and Pamela Cosman. My research interests are in computer vision, machine learning, and deep learning.

Publications

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

Tech Report

Training Deeper Convolutional Networks with Deep Supervision

Liwei Wang, Chen-Yu Lee, Zhuowen Tu, and Svetlana Lazebnik
arXiv 2015 / Paper / Code / Leaderboard of MIT Place205

Patents

Meta-Learning for Multi-Task Learning for Neural Networks

Andrew Rabinovich, Vijay Badrinarayanan, Srivignesh Rajendran, and Chen-Yu Lee
US Patent App. 16185582 (2018/11/9)

Room Layout Estimation Methods and Techniques

Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, and Andrew Rabinovich
US Patent 10657376 (2020/5/19)

System and Method for Scene Text Recognition

Anurag Bhardwaj, Chen-Yu Lee, Robinson Piramuthu, Vignesh Jagadeesh, and Wei Di
US Patent 9245191 (2016/1/26)

Academic Services

Reviewer

CVPR (2017-2021), ICCV (2017-2019), ECCV (2016-2020), BMVC (2019-2020), NeurIPS 2020, ICML 2021, ICLR 2021
PAMI, JMLR, TIP, TNNLS

Outstanding Reviewer

CVPR 2019, BMVC 2019

Program Committee Member

Computer Vision for AR/VR Workshop at CVPR 2020