32 citations · 38 across the 8 of their papers we have counts for
10 papers · 1 filter
GeT: Generative Target Structure Debiasing for Domain Adaptation
Can Zhang, Gim Hee Lee
Domain adaptation (DA) aims to transfer knowledge from a fully labeled source to a scarcely labeled or totally unlabeled target under domain shift. Recently, semi-supervised learni…
Improving Scene Graph Generation with Superpixel-Based Interaction Learning
Jingyi Wang, Can Zhang, Jinfa Huang +2
Recent advances in Scene Graph Generation (SGG) typically model the relationships among entities utilizing box-level features from pre-defined detectors. We argue that an overlooke…
Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs
Jingyi Wang, Jinfa Huang, Can Zhang +1
Dynamic scene graphs generated from video clips could help enhance the semantic visual understanding in a wide range of challenging tasks such as environmental perception, autonomo…
Unsupervised Pre-training for Temporal Action Localization Tasks
Can Zhang, Tianyu Yang, Junwu Weng +3
Unsupervised video representation learning has made remarkable achievements in recent years. However, most existing methods are designed and optimized for video classification. The…
Long-Short Temporal Modeling for Efficient Action Recognition
Liyu Wu, Yuexian Zou, Can Zhang
Efficient long-short temporal modeling is key for enhancing the performance of action recognition task. In this paper, we propose a new two-stream action recognition network, terme…
SRF-Net: Selective Receptive Field Network for Anchor-Free Temporal Action Detection
Ranyu Ning, Can Zhang, Yuexian Zou
Temporal action detection (TAD) is a challenging task which aims to temporally localize and recognize the human action in untrimmed videos. Current mainstream one-stage TAD approac…