Currently, he is a research fellow at Nanyang Technological University (NTU) Singapore, working with Prof. Ziwei Liu. Prior to this, he worked as a Research Scientist at the Sea AI Lab of Sea Group.
He completed Ph.D. degree in 2021 at CASIA, supervised by Prof. Tieniu Tan, co-supervised by Prof. Liang Wang and Prof. Wei Wang. He was a visting student from Sep, 2019 to Sep, 2020 in Learning and Vision Lab at National University of Singapore, working with Prof. Jiashi FENG.
His research lies at the intersection of deep learning and computer vision, including vision-based human perception (pose and action), few-shot learning, self-supervised learning, semi-supervised learning, in-context learning and video generation.
If you are seeking research interns (AIGC), feel free to contact me!
Remote cooperations are welcome (ChenYang.Si.Mail@gmail.com).
Contact
- Email:
- ChenYang.Si.Mail@gmail.com
- chenyang.si@ntu.edu.sg
sicy@sea.comchenyang.si@cripac.ia.ac.cn
Publications
FreeU: Free Lunch in Diffusion U-Net
Chenyang Si, Ziqi Huang, Yuming Jiang, Ziwei Liu
CVPR, 2024 Oral
[pdf] [project page] [code] [video]VBench: Comprehensive Benchmark Suite for Video Generative Models
Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, Yuming Jiang, Yuanhan Zhang, Tianxing Wu, Qingyang Jin, Nattapol Chanpaisit, Yaohui Wang, Xinyuan Chen, Limin Wang, Dahua Lin, Yu Qiao, Ziwei Liu
CVPR, 2024 Highlight
[pdf] [project page] [code] [video]VideoBooth: Diffusion-based Video Generation with Image Prompts
Yuming Jiang, Tianxing Wu, Shuai Yang, Chenyang Si, Dahua Lin, Yu Qiao, Chen Change Loy, Ziwei Liu
CVPR, 2024
[pdf] [project page] [code] [video]Towards Language-Driven Video Inpainting via Multimodal Large Language Models
Jianzong Wu, Xiangtai Li, Chenyang Si, Shangchen Zhou, Jingkang Yang, Jiangning Zhang, Yining Li, Kai Chen, Yunhai Tong, Ziwei Liu, Chen Change Loy
CVPR, 2024
[pdf] [project page]Scaling Supervised Local Learning with Augmented Auxiliary Networks
Chenxiang Ma, Jibin Wu, Chenyang Si, KC Tan
ICLR, 2024FreeInit: Bridging Initialization Gap in Video Diffusion Models
Tianxing Wu, Chenyang Si, Yuming Jiang, Ziqi Huang, Ziwei Liu
Tech report, 2023
[pdf] [project page] [code] [video]Lavie: High-quality video generation with cascaded latent diffusion models
Yaohui Wang, Xinyuan Chen, Xin Ma, Shangchen Zhou, Ziqi Huang, Yi Wang, Ceyuan Yang, Yinan He, Jiashuo Yu, Peiqing Yang, Yuwei Guo, Tianxing Wu, Chenyang Si, Yuming Jiang, Cunjian Chen, Chen Change Loy, Bo Dai, Dahua Lin, Yu Qiao, Ziwei Liu
Tech report, 2023
[pdf] [project page] [code]Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation
Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, Xinchao Wang
NeurIPS, 2023
[pdf]FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation
Jingwen Guo, Hong Liu, Shitong Sun, Tianyu Guo, Min Zhang, Chenyang Si*
(ICCV), 2023
[pdf]Semantic Prompt for Few-Shot Learning
Wentao Chen*, Chenyang Si*, Zhang Zhang, Liang Wang, Zilei Wang, Tieniu Tan
(CVPR), 2023
[pdf] [code] [video]Metaformer baselines for vision
Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang
TPAMI, 2023
[pdf] [code]Federated Zero-Shot Learning with Mid-Level Semantic Knowledge Transfer
Shitong Sun, Chenyang Si, Shaogang Gong, Guile Wu
Tech report, 2022
[pdf]Mugs: A Multi-Granular Self-Supervised Learning Framework
Pan Zhou, Yichen Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng Yan
NeurIPS Workshop, 2022
[pdf] [code]Transformed Autoencoder: Pre-training with Mask-Free Encoder and Transformed Decoder
Yichen Zhou, Pan Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng YAN
NeurIPS Workshop, 2022
[[pdf]]Inception Transformer
Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan
(NeurIPS, Oral), 2022
[pdf] [code]Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition
Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang
(TIP), 2022
[pdf]Metaformer is actually what you need for vision
Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan
(CVPR), 2022
[pdf] [code]Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption
Ke Han, Chenyang Si, Yan Huang, Liang Wang, Tieniu Tan
(AAAI), 2022
[pdf]Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan
(IJCAI), 2021
[[pdf]]Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition
Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng
(ECCV), 2020
[pdf] [video]Unsupervised Motion Representation Learning from Skeleton Sequence via Neighbor Reconstruction
Chenyang Si, Wei Wang, Liang Wang, Tieniu Tan, Jiashi FengSkeleton-Based Action Recognition with Hierarchical Spatial Reasoning and Temporal Stack Learning Network
Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan
(Pattern Recognition), 2020
[pdf]Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search
Ya Jing, Chenyang Si, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan
(AAAI), oral, 2020
[pdf]An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[pdf]Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning
Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan
European Conference on Computer Vision (ECCV), 2018
[pdf]Pose-Based Two-Stream Relational Networks for Action Recognition in Videos
Wei Wang, Jinjin Zhang, Chenyang Si, Liang Wang
(arxiv), 2018
[pdf]Multistage adversarial losses for pose-based human image synthesis
Chenyang Si, Wei Wang, Liang Wang, Tieniu Tan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR,), spotlight, 2018
[pdf]
Teaching Experience
- Teaching Assistant
Deep Learning
Mar. 2019-Jun. 2019
University of Chinese Academy of Sciences