79 citations · 154 across the 5 of their papers we have counts for
7 papers
The Multi-Modal Video Reasoning and Analyzing Competition
Haoran Peng, He Huang, Li Xu +15
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzing Competition (MMVRAC) workshop in conjunction with ICCV 2021. This competition is composed of four differen…
TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval
Yongbiao Chen, Sheng Zhang, Fangxin Liu +3
Deep hamming hashing has gained growing popularity in approximate nearest neighbour search for large-scale image retrieval. Until now, the deep hashing for the image retrieval comm…
Multi-Scale Cascading Network with Compact Feature Learning for RGB-Infrared Person Re-Identification
Can Zhang, Hong Liu, Wei Guo +1
RGB-Infrared person re-identification (RGB-IR Re-ID) aims to match persons from heterogeneous images captured by visible and thermal cameras, which is of great significance in the…
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
Mang Ye, Jianbing Shen, David J. Crandall +2
Visible-infrared person re-identification (VI-ReID) is a challenging cross-modality pedestrian retrieval problem. Due to the large intra-class variations and cross-modality discrep…
Deep Learning for Person Re-identification: A Survey and Outlook
Mang Ye, Jianbing Shen, Gaojie Lin +3
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-overlapping cameras. With the advancement of deep neural networks and increasing demand…
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Mang Ye, Xu Zhang, Pong C. Yuen +1
This paper studies the unsupervised embedding learning problem, which requires an effective similarity measurement between samples in low-dimensional embedding space. Motivated by…