Ce Liu

According to our database, Ce Liu authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DicFace: Dirichlet-Constrained Variational Codebook Learning for Temporally Coherent Video Face Restoration.

Yan Chen, Hanlin Shang, Ce Liu, Yuxuan Chen, Hui Li, Weihao Yuan, Hao Zhu, Zilong Dong, Siyu Zhu

CoRR, June, 2025

Dirichlet-Constrained Variational Codebook Learning for Temporally Coherent Video Face Restoration.

Baoyou Chen, Ce Liu, Weihao Yuan, Zilong Dong, Siyu Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance.

Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning Depth from Images.

Ce Liu

PhD thesis, 2024

4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment.

Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi

CoRR, 2024

Dynamic PDB: A New Dataset and a SE(3) Model Extension by Integrating Dynamic Behaviors and Physical Properties in Protein Structures.

Ce Liu, Jun Wang, Zhiqiang Cai, Yingxu Wang, Huizhen Kuang, Kaihui Cheng, Liwei Zhang, Qingkun Su, Yining Tang, Fenglei Cao, Limei Han, Siyu Zhu, Yuan Qi

CoRR, 2024

Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation.

Mingwang Xu, Hui Li, Qingkun Su, Hanlin Shang, Liwei Zhang, Ce Liu, Jingdong Wang, Yao Yao, Siyu Zhu

CoRR, 2024

Stereo Risk: A Continuous Modeling Approach to Stereo Matching.

Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

VA-DepthNet: A Variational Approach to Single Image Depth Prediction.

Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Indiscernible Object Counting in Underwater Scenes.

Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Single Image Depth Prediction Made Better: A Multivariate Gaussian Take.

Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LSDIR: A Large Scale Dataset for Image Restoration.

Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction.

Ce Liu, Shuhang Gu, Luc Van Gool, Radu Timofte

Proceedings of the 32nd British Machine Vision Conference 2021, 2021