activity
20162023
most citedReducing Complexity of HEVC: A Deep Learning Approach

331 citations · 2.4k across the 33 of their papers we have counts for

collaborators
Showing 2019Show all

8 papers · 1 filter

eess.IV2019★ 10 cited

Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-Resolution

Xin Deng, Ren Yang, Mai Xu +1

In single image super-resolution (SISR), given a low-resolution (LR) image, one wishes to find a high-resolution (HR) version of it which is both accurate and photo-realistic. Rece…

cs.CV2019

Removing Rain in Videos: A Large-scale Database and A Two-stream ConvLSTM Approach

Tie Liu, Mai Xu, Zulin Wang

Rain removal has recently attracted increasing research attention, as it is able to enhance the visibility of rain videos. However, the existing learning based rain removal approac…

cs.MA2019★ 8 cited

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence

Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz +6

Learning agents that are not only capable of taking tests, but also innovating is becoming a hot topic in AI. One of the most promising paths towards this vision is multi-agent lea…

cs.AI2019★ 2 cited

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards

Yuhang Song, Jianyi Wang, Thomas Lukasiewicz +4

Intrinsic rewards were introduced to simulate how human intelligence works; they are usually evaluated by intrinsically-motivated play, i.e., playing games without extrinsic reward…

cs.CV2019★ 25 cited

Attention Based Glaucoma Detection: A Large-scale Database and CNN Model

Liu Li, Mai Xu, Xiaofei Wang +2

Recently, the attention mechanism has been successfully applied in convolutional neural networks (CNNs), significantly boosting the performance of many computer vision tasks. Unfor…

cs.CV2019★ 45 cited

Quality-Gated Convolutional LSTM for Enhancing Compressed Video

Ren Yang, Xiaoyan Sun, Mai Xu +1

The past decade has witnessed great success in applying deep learning to enhance the quality of compressed video. However, the existing approaches aim at quality enhancement on a s…