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03/30/2021
Spatiotemporal Transformer for Video-based Person Re-identification
Recently, the Transformer module has been transplanted from natural lang...
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12/08/2020
UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification
The main difficulty of person re-identification (ReID) lies in collectin...
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04/07/2020
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition
Learning to predict multiple attributes of a pedestrian is a multi-task ...
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03/09/2020
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
Estimating 3D poses of multiple humans in real-time is a classic but sti...
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01/23/2020
Disassembling the Dataset: A Camera Alignment Mechanism for Multiple Tasks in Person Re-identification
In person re-identification (ReID), one of the main challenges is the di...
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09/20/2019
Learning Lightweight Pedestrian Detector with Hierarchical Knowledge Distillation
It remains very challenging to build a pedestrian detection system for r...
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10/24/2018
Cross-Resolution Person Re-identification with Deep Antithetical Learning
Images with different resolutions are ubiquitous in public person re-ide...
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09/12/2018
