activity
20182021
most citedBag of Freebies for Training Object Detection Neural Networks

147 citations · 332 across the 7 of their papers we have counts for

collaborators

11 papers

cs.CV202150 cited

Progressive Coordinate Transforms for Monocular 3D Object Detection

Li Wang, Li Zhang, Yi Zhu +4

Recognizing and localizing objects in the 3D space is a crucial ability for an AI agent to perceive its surrounding environment. While significant progress has been achieved with e…

cs.CV20211 cited

Video Contrastive Learning with Global Context

Haofei Kuang, Yi Zhu, Zhi Zhang +5

Contrastive learning has revolutionized self-supervised image representation learning field, and recently been adapted to video domain. One of the greatest advantages of contrastiv…

cs.CV2021

Attention in Attention Network for Image Super-Resolution

Haoyu Chen, Jinjin Gu, Zhi Zhang

Convolutional neural networks have allowed remarkable advances in single image super-resolution (SISR) over the last decade. Among recent advances in SISR, attention mechanisms are…

cs.CV2021

CrossNorm and SelfNorm for Generalization under Distribution Shifts

Zhiqiang Tang, Yunhe Gao, Yi Zhu +3

Traditional normalization techniques (e.g., Batch Normalization and Instance Normalization) generally and simplistically assume that training and test data follow the same distribu…

cs.CV2020115 cited

A Comprehensive Study of Deep Video Action Recognition

Yi Zhu, Xinyu Li, Chunhui Liu +7

Video action recognition is one of the representative tasks for video understanding. Over the last decade, we have witnessed great advancements in video action recognition thanks t…

cs.CV20205 cited

AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

Dario Fuoli, Zhiwu Huang, Shuhang Gu +23

This paper reviews the video extreme super-resolution challenge associated with the AIM 2020 workshop at ECCV 2020. Common scaling factors for learned video super-resolution (VSR)…