Yen-Cheng Liu

I am a 3rd year PhD student at Georgia Tech and work with Prof. Zsolt Kira. My research interests are in the areas of computer vision and machine learning, particularly learning with limited supervision, scene understanding, domain adaptation, and representation learning. I've been lucky to be a Research Intern at Facebook Research and worked with Prof. Yu-Chiang Frank Wang at National Taiwan University.

[CV] [Google Scholar ]

ycliu [AT] gatech [DOT] edu

Publications

Unbiased Teacher for Semi-Supervised Object Detection

International Conference on Learning Representations (ICLR 2021)
Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
[Paper]

Posterior Re-calibration for Imbalanced Datasets

Advances in Neural Information Processing Systems (NeurIPS 2020)
Junjiao Tian, Yen-Cheng Liu, Nathaniel Glaser, Yen-Chang Hsu, Zsolt Kira
[Paper] [Code]

When2com: Multi-Agent Perception via Communication Graph Grouping

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)
Yen-Cheng Liu, Junjiao Tian*, Nathaniel Glaser*, Zsolt Kira (* indicates equal contribution)
[Project Page]

Who2com: Collaborative Perception via Learnable Handshake Communication

International Conference on Robotics and Automation (ICRA 2020)
Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathaniel Glaser, Chia-Wen Kuo, Zsolt Kira
[Paper] [Project Page]

UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation

International Conference on Robotics and Automation (ICRA 2020)
Junjiao Tian, Wesley Cheung, Nathan Glaser, Yen-Cheng Liu, Zsolt Kira
[Paper]

Towards Scene Understanding: Unsupervised Monocular Depth Estimation with Semantic-aware Representation

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019; Oral)
Po-Yi Chen*, Alexander H. Liu*, Yen-Cheng Liu, Yu-Chiang Frank Wang (* indicates equal contribution)
[Paper]

A Closer Look at Few-shot Classification

International Conference on Learning Representations (ICLR 2019)
Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang
[Project Page][Paper] [Code]

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

Advances in Neural Information Processing Systems (NeurIPS 2018)
Alexendar Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang
[Paper] [Code]

Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018; Spotlight)
Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu, Sheng-De Wang, Wei-Chen Chiu, Yu-Chiang Frank Wang
[Paper] [Code]

Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines

Advances in Neural Information Processing Systems Workshops (NeurIPS Workshops 2018)
Yen-Chang Hsu, Yen-Cheng Liu, Anita Ramasamy, Zsolt Kira
[Paper] [Code]

Unbiased Teacher for Semi-Supervised Object Detection

Posterior Re-calibration for Imbalanced Datasets

When2com: Multi-Agent Perception via Communication Graph Grouping

Who2com: Collaborative Perception via Learnable Handshake Communication

UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation

Towards Scene Understanding: Unsupervised Monocular Depth Estimation with Semantic-aware Representation

A Closer Look at Few-shot Classification

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation

Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines

Yen-Cheng Liu

Yen-Cheng Liu

Publications

Side Projects

Jenga Builder