activity
20182021
most citedPrediction-assistant Frame Super-Resolution for Video Streaming

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

collaborators

7 papers

cs.CV20213 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.CV20201 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…

cs.CV2020

Uniform Interpolation Constrained Geodesic Learning on Data Manifold

Cong Geng, Jia Wang, Li Chen +3

In this paper, we propose a method to learn a minimizing geodesic within a data manifold. Along the learned geodesic, our method can generate high-quality interpolations between tw…

eess.IV2019

A Dual Camera System for High Spatiotemporal Resolution Video Acquisition

Ming Cheng, Zhan Ma, M. Salman Asif +4

This paper presents a dual camera system for high spatiotemporal resolution (HSTR) video acquisition, where one camera shoots a video with high spatial resolution and low frame rat…

cs.CV2019

Depth-Aware Video Frame Interpolation

Wenbo Bao, Wei-Sheng Lai, Chao Ma +3

Video frame interpolation aims to synthesize nonexistent frames in-between the original frames. While significant advances have been made from the recent deep convolutional neural…