activity
20172022
most citedLearning Spatial Fusion for Single-Shot Object Detection

473 citations · 619 across the 28 of their papers we have counts for

collaborators

35 papers

cs.CV2021

Will You Ever Become Popular? Learning to Predict Virality of Dance Clips

Jiahao Wang, Yunhong Wang, Nina Weng +4

Dance challenges are going viral in video communities like TikTok nowadays. Once a challenge becomes popular, thousands of short-form videos will be uploaded in merely a couple of…

cs.CV20211 cited

iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization

Huiqun Wang, Ruijie Yang, Di Huang +1

Differentiable ARchiTecture Search (DARTS) uses a continuous relaxation of network representation and dramatically accelerates Neural Architecture Search (NAS) by almost thousands…

cs.CV20212 cited

Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy

Ruikui Wang, Yuanfang Guo, Ruijie Yang +1

The transferability and robustness of adversarial examples are two practical yet important properties for black-box adversarial attacks. In this paper, we explore effective mechani…

cs.CV2021

Video Person Re-identification using Attribute-enhanced Features

Tianrui Chai, Zhiyuan Chen, Annan Li +3

Video-based person re-identification (Re-ID) which aims to associate people across non-overlapping cameras using surveillance video is a challenging task. Pedestrian attribute, suc…

cs.CV202115 cited

Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning

Jiahao Wang, Yunhong Wang, Sheng Liu +1

Fine-grained action recognition is attracting increasing attention due to the emerging demand of specific action understanding in real-world applications, whereas the data of rare…

cs.CV20211 cited

Silhouette based View embeddings for Gait Recognition under Multiple Views

Tianrui Chai, Xinyu Mei, Annan Li +1

Gait recognition under multiple views is an important computer vision and pattern recognition task. In the emerging convolutional neural network based approaches, the information o…