J
Jiawei Liu
Researcher at University of Science and Technology of China
Publications - 34
Citations - 907
Jiawei Liu is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Computer science & Feature (computer vision). The author has an hindex of 8, co-authored 25 publications receiving 537 citations.
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Proceedings ArticleDOI
Adaptive Transfer Network for Cross-Domain Person Re-Identification
TL;DR: A novel adaptive transfer network (ATNet) for effective cross-domain person re-identification that decomposes the complicated cross- domain transfer into a set of factor-wise sub-transfers and gives ATNet the capability of precise style transfer at factor level and eventually effective transfer across domains.
Proceedings ArticleDOI
Multi-Scale Triplet CNN for Person Re-Identification
TL;DR: A multi-scale triplet convolutional neural network which captures visual appearance of a person at various scales is proposed, addressing the problem of small training set in person re-identification.
Journal ArticleDOI
Dense 3D-Convolutional Neural Network for Person Re-Identification in Videos
TL;DR: A Dense 3D-Convolutional Network (D3DNet) is proposed to jointly learn spatio-temporal and appearance representation for person re-identification in videos to address the challenge of large intra- class variance and small inter-class variance.
Proceedings ArticleDOI
Deep Adversarial Graph Attention Convolution Network for Text-Based Person Search
TL;DR: A novel deep adversarial graph attention convolution network (A-GANet) for text-based person search that learns an effective joint textual-visual latent feature space in adversarial learning manner, bridging modality gap and facilitating pedestrian matching.
Proceedings ArticleDOI
Hierarchical Gumbel Attention Network for Text-based Person Search
TL;DR: A novel hierarchical Gumbel attention network for text-based person search via Gumbels top-k re-parameterization algorithm that adaptively selects the strong semantically relevant image regions and words/phrases from images and texts for precise alignment and similarity calculation.