Zhewei Huang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Character Recognition

Reinforcement Learning

Frame Interpolation

Top Venues

Publications

Ruibo Ming, Zhewei Huang, Zhuoxuan Ju, Jianming Hu, Lihui Peng, Shuchang Zhou
A Survey on Video Prediction: From Deterministic to Generative Approaches. CoRR (2024)
Zhewei Huang, Ailin Huang, Xiaotao Hu, Chen Hu, Jun Xu, Shuchang Zhou
Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution. WACV (2024)
Xiaotao Hu, Zhewei Huang, Ailin Huang, Jun Xu, Shuchang Zhou
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction. CVPR (2023)
Zhewei Huang, Ailin Huang, Xiaotao Hu, Chen Hu, Jun Xu, Shuchang Zhou
Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution. CoRR (2023)
Zuzeng Lin, Ailin Huang, Zhewei Huang
Collaborative Neural Rendering Using Anime Character Sheets. IJCAI (2023)
Xiaotao Hu, Zhewei Huang, Ailin Huang, Jun Xu, Shuchang Zhou
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction. CoRR (2023)
Ailin Huang, Zhewei Huang, Shuchang Zhou
Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer. ACM Multimedia (2022)
Ailin Huang, Zhewei Huang, Shuchang Zhou
Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer. CoRR (2022)
Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou
ML4CO-KIDA: Knowledge Inheritance in Data Aggregation. CoRR (2022)
Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yangm, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Chen Binbin, He Minggui, Hao Hao, Zhang Zhiyu, An Zhiwu, Mao Kun
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR (2022)
Zuzeng Lin, Ailin Huang, Zhewei Huang, Chen Hu, Shuchang Zhou
Collaborative Neural Rendering using Anime Character Sheets. CoRR (2022)
Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou
Real-Time Intermediate Flow Estimation for Video Frame Interpolation. ECCV (14) (2022)
Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) (2021)
Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation. CoRR (2020)
Zhewei Huang, Wen Heng, Shuchang Zhou
Learning to Paint with Model-based Deep Reinforcement Learning. CoRR (2019)
Zhewei Huang, Shuchang Zhou, Wen Heng
Learning to Paint With Model-Based Deep Reinforcement Learning. ICCV (2019)
Zhewei Huang, Wen Heng, Yuanzheng Tao, Shuchang Zhou
Stroke-based Character Recognition with Deep Reinforcement Learning. CoRR (2018)
Lukasz Kidzinski, Sharada Prasanna Mohanty, Carmichael F. Ong, Zhewei Huang, Shuchang Zhou, Anton Pechenko, Adam Stelmaszczyk, Piotr Jarosik, Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis, Zhibo Chen, Zhizheng Zhang, Jiale Chen, Jun Shi, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Henryk Michalewski, Piotr Milos, Blazej Osinski, Andrew Melnik, Malte Schilling, Helge J. Ritter, Sean F. Carroll, Jennifer L. Hicks, Sergey Levine, Marcel Salathé, Scott L. Delp
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. CoRR (2018)
Zhewei Huang, Shuchang Zhou, BoEr Zhuang, Xinyu Zhou
Learning to Run with Actor-Critic Ensemble. CoRR (2017)