Search Results for author:
Found 6 papers, 4 papers with code
ProTA: Probabilistic Token Aggregation for Text-Video Retrieval
Text-video retrieval aims to find the most relevant cross-modal samples for a given query.
Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval
Specifically, after applying attention-based video masking to generate high-informed and low-informed masks, we propose Informed Semantics Completion to recover masked semantics information.
Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval
To fuse multi-scale feature representation, this paper presents a pyramid structure containing global-level information and many pieces of local-level information from different scales.
Learning to Disentangle Scenes for Person Re-identification
In this way, the complex scenes in the ReID task are effectively disentangled, and the burden of each branch is relieved.
Ranked #2 on
Person Re-Identification
on P-DukeMTMC-reID
Exploiting Robust Unsupervised Video Person Re-identification
A local-aware module is employed to explore the poentials of local-level feature for unsupervised learning.
Ranked #1 on
Unsupervised Person Re-Identification
on PRID2011
Unsupervised Person Re-Identification
Video-Based Person Re-Identification
Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmark
We also verified that models pre-trained on LaST can generalize well on existing datasets with short-term and cloth-changing scenarios.
