research
∙
08/20/2023
Rethinking Client Drift in Federated Learning: A Logit Perspective
Federated Learning (FL) enables multiple clients to collaboratively lear...
share
research
∙
08/19/2023
An Empirical Study of CLIP for Text-based Person Search
Text-based Person Search (TBPS) aims to retrieve the person images using...
research
∙
07/20/2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Federated learning (FL) has drawn increasing attention owing to its pote...
research
∙
06/01/2023
Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution
Color-guided depth super-resolution (DSR) is an encouraging paradigm tha...
research
∙
03/22/2023
Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval
Text-to-image person retrieval aims to identify the target person based ...
research
∙
07/24/2022
Learnable Privacy-Preserving Anonymization for Pedestrian Images
This paper studies a novel privacy-preserving anonymization problem for ...
research
∙
11/29/2021
AVA-AVD: Audio-visual Speaker Diarization in the Wild
Audio-visual speaker diarization aims at detecting “who spoken when“ usi...
research
∙
08/18/2021
The Multi-Modal Video Reasoning and Analyzing Competition
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzin...
research
∙
05/05/2021
TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval
Deep hamming hashing has gained growing popularity in approximate neares...
research
∙
12/12/2020
Multi-Scale Cascading Network with Compact Feature Learning for RGB-Infrared Person Re-Identification
RGB-Infrared person re-identification (RGB-IR Re-ID) aims to match perso...
research
∙
07/18/2020
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is a challenging cro...
research
∙
01/13/2020
Deep Learning for Person Re-identification: A Survey and Outlook
Person re-identification (Re-ID) aims at retrieving a person of interest...
research
∙
04/06/2019
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
This paper studies the unsupervised embedding learning problem, which re...
research
∙
09/27/2017
