Yen-Cheng Liu

I am a research scientist at Meta, focusing on multi-modal generation. Prior to this, I earned my PhD from Georgia Tech, where I had the opportunity to work with Prof. Zsolt Kira, and my research journey began when I worked with Prof. Yu-Chiang Frank Wang at National Taiwan University.

My research interests span the areas of computer vision and machine learning. My PhD research was centered on efficient learning for scene understanding. This involved devising methods to reduce the amount of data, labels, and model parameters needed to effectively train machine learning models for scene understanding.

[CV] [Google Scholar ]

ycliu [AT] gatech [DOT] edu

Selected Publications

Fast Trainable Projection for Robust Fine-tuning

Conference on Neural Information Processing Systems (NeurIPS), 2023
Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira.
[Paper] [Code]

Trainable Projected Gradient Method for Robust Fine-Tuning

Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira
[Paper] [Code]

Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks

Conference on Neural Information Processing Systems (NeurIPS), 2022
Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira
[Paper] [Project Page]

Open-set Semi-supervised Object Detection

European Conference on Computer Vision (ECCV), 2022
Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
[Paper] [Project Page]

Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022
Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira
[Paper] [Project Page] [Code]

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] [Project Page] [Code]

Posterior Re-calibration for Imbalanced Datasets

Conference on 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
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

Conference on 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
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

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