activity
20202022
most citedPrediction-assistant Frame Super-Resolution for Video Streaming

3 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022

H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System

Ming Cheng, Yiling Xu, Wang Shen +4

High-speed, high-resolution stereoscopic (H2-Stereo) video allows us to perceive dynamic 3D content at fine granularity. The acquisition of H2-Stereo video, however, remains challe…

cs.CV2022

Enhanced Deep Animation Video Interpolation

Wang Shen, Cheng Ming, Wenbo Bao +3

Existing learning-based frame interpolation algorithms extract consecutive frames from high-speed natural videos to train the model. Compared to natural videos, cartoon videos are…

eess.IV2021

Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution

Zhenxing Dong, Hong Cao, Wang Shen +4

Current learning-based single image super-resolution (SISR) algorithms underperform on real data due to the deviation in the assumed degrada-tion process from that in the real-worl…

cs.CV2021★ 3 cited

Prediction-assistant Frame Super-Resolution for Video Streaming

Wang Shen, Wenbo Bao, Guangtao Zhai +3

Video frame transmission delay is critical in real-time applications such as online video gaming, live show, etc. The receiving deadline of a new frame must catch up with the frame…

cs.CV2020★ 1 cited

AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results

Seungjun Nah, Sanghyun Son, Radu Timofte +1

Videos contain various types and strengths of motions that may look unnaturally discontinuous in time when the recorded frame rate is low. This paper reviews the first AIM challeng…

cs.CV2020

Blurry Video Frame Interpolation

Wang Shen, Wenbo Bao, Guangtao Zhai +3

Existing works reduce motion blur and up-convert frame rate through two separate ways, including frame deblurring and frame interpolation. However, few studies have approached the…