activity
20192022
most citedLearning Salient Boundary Feature for Anchor-free Temporal Action Localization

18 citations · 43 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

Yawei Li, Kai Zhang, Radu Timofte +108

This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-reso…

cs.CV20217 cited

Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution

Guangpin Tao, Xiaozhong Ji, Wenzhuo Wang +6

Deep-learning based Super-Resolution (SR) methods have exhibited promising performance under non-blind setting where blur kernel is known. However, blur kernels of Low-Resolution (…

cs.CV202118 cited

Learning Salient Boundary Feature for Anchor-free Temporal Action Localization

Chuming Lin, Chengming Xu, Donghao Luo +6

Temporal action localization is an important yet challenging task in video understanding. Typically, such a task aims at inferring both the action category and localization of the…

cs.CV201915 cited

Fast Learning of Temporal Action Proposal via Dense Boundary Generator

Chuming Lin, Jian Li, Yabiao Wang +7

Generating temporal action proposals remains a very challenging problem, where the main issue lies in predicting precise temporal proposal boundaries and reliable action confidence…

cs.CV20191 cited

Frame and Feature-Context Video Super-Resolution

Bo Yan, Chuming Lin, Weimin Tan

For video super-resolution, current state-of-the-art approaches either process multiple low-resolution (LR) frames to produce each output high-resolution (HR) frame separately in a…

cs.CV20192 cited

Cycle-IR: Deep Cyclic Image Retargeting

Weimin Tan, Bo Yan, Chumin Lin +1

Supervised deep learning techniques have achieved great success in various fields due to getting rid of the limitation of handcrafted representations. However, most previous image…