most citedVESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge

14 citations · 24 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV202014 cited

VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge

Jiale Chen, Xu Tan, Chaowei Shan +2

This paper introduces VESR-Net, a method for video enhancement and super-resolution (VESR). We design a separate non-local module to explore the relations among video frames and fu…

cs.CL20198 cited

A Study of Multilingual Neural Machine Translation

Xu Tan, Yichong Leng, Jiale Chen +3

Multilingual neural machine translation (NMT) has recently been investigated from different aspects (e.g., pivot translation, zero-shot translation, fine-tuning, or training from s…

cs.CL2019

Multilingual Neural Machine Translation with Language Clustering

Xu Tan, Jiale Chen, Di He +3

Multilingual neural machine translation (NMT), which translates multiple languages using a single model, is of great practical importance due to its advantages in simplifying the t…

cs.CL2019

Language Graph Distillation for Low-Resource Machine Translation

Tianyu He, Jiale Chen, Xu Tan +1

Neural machine translation on low-resource language is challenging due to the lack of bilingual sentence pairs. Previous works usually solve the low-resource translation problem wi…

eess.IV2019

Progressive Image Inpainting with Full-Resolution Residual Network

Zongyu Guo, Zhibo Chen, Tao Yu +2

Recently, learning-based algorithms for image inpainting achieve remarkable progress dealing with squared or irregular holes. However, they fail to generate plausible textures insi…

cs.LG20192 cited

Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments

Zhizheng Zhang, Jiale Chen, Zhibo Chen +1

Deep Deterministic Policy Gradient (DDPG) has been proved to be a successful reinforcement learning (RL) algorithm for continuous control tasks. However, DDPG still suffers from da…