10 citations · 32 across the 8 of their papers we have counts for
10 papers · 1 filter
Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval
Huafeng Li, Shedan Yang, Yafei Zhang +2
Text-Pedestrian Image Retrieval aims to use the text describing pedestrian appearance to retrieve the corresponding pedestrian image. This task involves not only modality discrepan…
Adversarial Self-Attack Defense and Spatial-Temporal Relation Mining for Visible-Infrared Video Person Re-Identification
Huafeng Li, Le Xu, Yafei Zhang +2
In visible-infrared video person re-identification (re-ID), extracting features not affected by complex scenes (such as modality, camera views, pedestrian pose, background, etc.) c…
Free-Form Composition Networks for Egocentric Action Recognition
Haoran Wang, Qinghua Cheng, Baosheng Yu +4
Egocentric action recognition is gaining significant attention in the field of human action recognition. In this paper, we address data scarcity issue in egocentric action recognit…
Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples
Jinfeng Li, Weifeng Liu, Yicong Zhou +2
Domain adaptation aims to generalize a model from a source domain to tackle tasks in a related but different target domain. Traditional domain adaptation algorithms assume that eno…
Hetero-Center Loss for Cross-Modality Person Re-Identification
Yuanxin Zhu, Zhao Yang, Li Wang +3
Cross-modality person re-identification is a challenging problem which retrieves a given pedestrian image in RGB modality among all the gallery images in infrared modality. The tas…
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
Jingwen Ye, Yixin Ji, Xinchao Wang +3
In this paper, we investigate a novel deep-model reusing task. Our goal is to train a lightweight and versatile student model, without human-labelled annotations, that amalgamates…