103 citations · 476 across the 41 of their papers we have counts for
77 papers · 1 filter
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov +2
Metric learning aims to learn a highly discriminative model encouraging the embeddings of similar classes to be close in the chosen metrics and pushed apart for dissimilar ones. Th…
Federated and Generalized Person Re-identification through Domain and Feature Hallucinating
Fengxiang Yang, Zhun Zhong, Zhiming Luo +2
In this paper, we study the problem of federated domain generalization (FedDG) for person re-identification (re-ID), which aims to learn a generalized model with multiple decentral…
Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-Identification
Yongguo Ling, Zhun Zhong, Donglin Cao +4
Visible thermal person re-identification (VT-ReID) suffers from the inter-modality discrepancy and intra-identity variations. Distribution alignment is a popular solution for VT-Re…
Local and Global GANs with Semantic-Aware Upsampling for Image Generation
Hao Tang, Ling Shao, Philip H. S. Torr +1
In this paper, we address the task of semantic-guided image generation. One challenge common to most existing image-level generation methods is the difficulty in generating small o…
Relation Regularized Scene Graph Generation
Yuyu Guo, Lianli Gao, Jingkuan Song +4
Scene graph generation (SGG) is built on top of detected objects to predict object pairwise visual relations for describing the image content abstraction. Existing works have revea…
Fast Differentiable Matrix Square Root
Yue Song, Nicu Sebe, Wei Wang
Computing the matrix square root or its inverse in a differentiable manner is important in a variety of computer vision tasks. Previous methods either adopt the Singular Value Deco…