205 citations · 1.4k across the 102 of their papers we have counts for
9 papers · 1 filter
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition
Jin Ye, Junjun He, Xiaojiang Peng +2
Recent studies often exploit Graph Convolutional Network (GCN) to model label dependencies to improve recognition accuracy for multi-label image recognition. However, constructing…
Suppressing Mislabeled Data via Grouping and Self-Attention
Xiaojiang Peng, Kai Wang, Zhaoyang Zeng +3
Deep networks achieve excellent results on large-scale clean data but degrade significantly when learning from noisy labels. To suppressing the impact of mislabeled data, this pape…
Efficient Image Super-Resolution Using Pixel Attention
Hengyuan Zhao, Xiangtao Kong, Jingwen He +2
This work aims at designing a lightweight convolutional neural network for image super resolution (SR). With simplicity bare in mind, we construct a pretty concise and effective ne…
Conditional Sequential Modulation for Efficient Global Image Retouching
Jingwen He, Yihao Liu, Yu Qiao +1
Photo retouching aims at enhancing the aesthetic visual quality of images that suffer from photographic defects such as over/under exposure, poor contrast, inharmonious saturation.…
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li +75
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…
Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition
Haisheng Su, Jing Su, Dongliang Wang +5
Recent years have witnessed the significant progress of action recognition task with deep networks. However, most of current video networks require large memory and computational r…
Enhanced Quadratic Video Interpolation
Yihao Liu, Liangbin Xie, Li Siyao +3
With the prosperity of digital video industry, video frame interpolation has arisen continuous attention in computer vision community and become a new upsurge in industry. Many lea…
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation
Haisheng Su, Weihao Gan, Wei Wu +2
Generating human action proposals in untrimmed videos is an important yet challenging task with wide applications. Current methods often suffer from the noisy boundary locations an…
Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
Jing Li, Jing Xu, Fangwei Zhong +3
Active Object Tracking (AOT) is crucial to many visionbased applications, e.g., mobile robot, intelligent surveillance. However, there are a number of challenges when deploying act…