activity
20192022
most citedActionCLIP: A New Paradigm for Video Action Recognition

189 citations · 292 across the 14 of their papers we have counts for

collaborators

19 papers

cs.CV2022

Region-Aware Face Swapping

Chao Xu, Jiangning Zhang, Miao Hua +3

This paper presents a novel Region-Aware Face Swapping (RAFSwap) network to achieve identity-consistent harmonious high-resolution face generation in a local-global manner: \textbf…

cs.CV2022

SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution

Jiangning Zhang, Chao Xu, Jian Li +4

In the practical application of restoring low-resolution gray-scale images, we generally need to run three separate processes of image colorization, super-resolution, and dows-samp…

cs.CV2021

LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation

WeiFu Fu, CongChong Nie, Ting Sun +3

This report introduces the technical details of the team FuXi-Fresher for LVIS Challenge 2021. Our method focuses on the problem in following two aspects: the long-tail distributio…

cs.CV20211 cited

Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking

Mengmeng Wang, Xiaoqian Yang, Yong Liu

Visual object tracking performance has been dramatically improved in recent years, but some severe challenges remain open, like distractors and occlusions. We suspect the reason is…

cs.CV2021189 cited

ActionCLIP: A New Paradigm for Video Action Recognition

Mengmeng Wang, Jiazheng Xing, Yong Liu

The canonical approach to video action recognition dictates a neural model to do a classic and standard 1-of-N majority vote task. They are trained to predict a fixed set of predef…

cs.CV20211 cited

Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation

Lina Liu, Xibin Song, Mengmeng Wang +2

Remarkable results have been achieved by DCNN based self-supervised depth estimation approaches. However, most of these approaches can only handle either day-time or night-time ima…