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ORCIDZhewei Huang
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2020 – today
- 2024
[c7]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: 4216-4227- [d1]Wei Si
, Zhaolin Zheng, Zhewei Huang, Xi-Ming Xu, Ruijue Wang, Ji-Gang Bao, Qiang Xiong, Xiantong Zhen, Jun Xu:
IRI-VFI dataset. IEEE DataPort, 2024
- [i13]Ruibo Ming, Zhewei Huang, Zhuoxuan Ju, Jianming Hu, Lihui Peng, Shuchang Zhou:
A Survey on Video Prediction: From Deterministic to Generative Approaches. CoRR abs/2401.14718 (2024) - [i12]Jing Cui, Yishi Xu, Zhewei Huang, Shuchang Zhou, Jianbin Jiao, Junge Zhang:
Recent Advances in Attack and Defense Approaches of Large Language Models. CoRR abs/2409.03274 (2024) - 2023
- [c6]Xiaotao Hu, Zhewei Huang, Ailin Huang, Jun Xu, Shuchang Zhou:
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction. CVPR 2023: 6121-6131 - [c5]Zuzeng Lin, Ailin Huang, Zhewei Huang:
Collaborative Neural Rendering Using Anime Character Sheets. IJCAI 2023: 5824-5832 - [i11]Xiaotao Hu, Zhewei Huang, Ailin Huang, Jun Xu, Shuchang Zhou:
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction. CoRR abs/2303.09875 (2023) - [i10]Zhewei Huang, Ailin Huang, Xiaotao Hu, Chen Hu, Jun Xu, Shuchang Zhou:
Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution. CoRR abs/2310.17294 (2023) - 2022
- [c4]Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou:
Real-Time Intermediate Flow Estimation for Video Frame Interpolation. ECCV (14) 2022: 624-642 - [c3]Ailin Huang, Zhewei Huang, Shuchang Zhou:
Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer. ACM Multimedia 2022: 7050-7054 - [i9]Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou:
ML4CO-KIDA: Knowledge Inheritance in Data Aggregation. CoRR abs/2201.10328 (2022) - [i8]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 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. CoRR abs/2203.02433 (2022) - [i7]Ailin Huang, Zhewei Huang, Shuchang Zhou:
Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer. CoRR abs/2206.12837 (2022) - [i6]Zuzeng Lin, Ailin Huang, Zhewei Huang, Chen Hu, Shuchang Zhou:
Collaborative Neural Rendering using Anime Character Sheets. CoRR abs/2207.05378 (2022) - 2021
- [c2]Maxime Gasse, Simon Bowly, 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 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: 220-231 - 2020
- [i5]Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou:
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation. CoRR abs/2011.06294 (2020)
2010 – 2019
- 2019
- [c1]Zhewei Huang, Shuchang Zhou, Wen Heng:
Learning to Paint With Model-Based Deep Reinforcement Learning. ICCV 2019: 8708-8717 - [i4]Zhewei Huang, Wen Heng, Shuchang Zhou:
Learning to Paint with Model-based Deep Reinforcement Learning. CoRR abs/1903.04411 (2019) - 2018
- [i3]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 abs/1804.00361 (2018) - [i2]Zhewei Huang, Wen Heng, Yuanzheng Tao, Shuchang Zhou:
Stroke-based Character Recognition with Deep Reinforcement Learning. CoRR abs/1806.08990 (2018) - 2017
- [i1]Zhewei Huang, Shuchang Zhou, BoEr Zhuang, Xinyu Zhou:
Learning to Run with Actor-Critic Ensemble. CoRR abs/1712.08987 (2017)
Coauthor Index
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