activity
20152021
most citedTowards Good Practices for Very Deep Two-Stream ConvNets

385 citations · 845 across the 34 of their papers we have counts for

collaborators

62 papers

cs.CV202112 cited

Blind Image Super-Resolution: A Survey and Beyond

Anran Liu, Yihao Liu, Jinjin Gu +2

Blind image super-resolution (SR), aiming to super-resolve low-resolution images with unknown degradation, has attracted increasing attention due to its significance in promoting r…

cs.CL20218 cited

Alzheimer's Disease Detection from Spontaneous Speech through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models

Yu Qiao, Xuefeng Yin, Daniel Wiechmann +1

In this paper, we combined linguistic complexity and (dis)fluency features with pretrained language models for the task of Alzheimer's disease detection of the 2021 ADReSSo (Alzhei…

cs.CV202125 cited

CT-Net: Channel Tensorization Network for Video Classification

Kunchang Li, Xianhang Li, Yali Wang +2

3D convolution is powerful for video classification but often computationally expensive, recent studies mainly focus on decomposing it on spatial-temporal and/or channel dimensions…

cs.CV20217 cited

Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification

Xiao Zhang, Yixiao Ge, Yu Qiao +1

Unsupervised object re-identification targets at learning discriminative representations for object retrieval without any annotations. Clustering-based methods conduct training wit…

cs.CV202112 cited

Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification

Shijie Yu, Dapeng Chen, Rui Zhao +2

Person images captured by surveillance cameras are often occluded by various obstacles, which lead to defective feature representation and harm person re-identification (Re-ID) per…

cs.CV2021

Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification

Shijie Yu, Feng Zhu, Dapeng Chen +5

Recent years have witnessed significant progress in person re-identification (ReID). However, current ReID approaches still suffer from considerable performance degradation when un…