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Yen-Cheng Liu
ycliu93 [AT] meta
[DOT] com
Movie Gen Team (core contributor)
[Project Page] [Paper]
Conference on Neural Information Processing Systems
(NeurIPS), 2022
Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira
[Paper] [Project Page]
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]
IEEE / CVF Computer Vision and Pattern Recognition Conference
(CVPR), 2022
Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira
[Paper] [Project Page] [Code]
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]
IEEE Conference on Computer Vision and Pattern Recognition
(CVPR), 2020
Yen-Cheng Liu, Junjiao Tian*, Nathaniel Glaser*, Zsolt Kira (* indicates equal contribution)
[Project Page]
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]
International Conference on Robotics and Automation
(ICRA), 2020
Junjiao Tian, Wesley Cheung, Nathan Glaser, Yen-Cheng Liu, Zsolt Kira
[Paper]
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]
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]
Conference on Neural Information Processing Systems
(NeurIPS), 2018
Alexendar Liu,Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang
Frank Wang
[Paper] [Code]
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]
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Yen-Cheng Liu
Yen-Cheng Liu
I am a research scientist at Meta GenAI. My research interests span the areas of computer vision and machine learning. I am currently exploring media generation, with a particular focus on video and image generation. One of my recent projects is Meta Movie Gen, a cast of sophisticated foundation models designed for media generation (video, image, and audio).
Before this, I earned my PhD from Georgia Tech, where I had the opportunity to work with Prof. Zsolt Kira. My PhD research centers on enhancing the efficiency of model parameters, data, and label annotations in the training of large-scale machine learning models, which rely on substantial foundation models trained on vast datasets and labels.
[CV] [Google Scholar]
ycliu93 [AT] meta
[DOT] com
Selected Projects
Movie Gen: A Cast of Media Foundation Models
[Project Page] [Paper]
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks
[Paper] [Project Page]
Open-set Semi-supervised Object Detection
[Paper] [Project Page]
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors
[Paper] [Project Page] [Code]
Unbiased Teacher for Semi-Supervised Object Detection
[Paper] [Project Page] [Code]
When2com: Multi-Agent Perception via Communication Graph Grouping
[Project Page]
Who2com: Collaborative Perception via Learnable Handshake Communication
[Paper] [Project Page]
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation
[Paper]
Towards Scene Understanding: Unsupervised Monocular Depth Estimation with Semantic-aware Representation
[Paper]
A Closer Look at Few-shot Classification
[Project Page][Paper] [Code]
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Alexendar Liu,
[Paper] [Code]
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation
[Paper] [Code]
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