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Found 6 papers, 1 papers with code
Self-Supervised Light Field Depth Estimation Using Epipolar Plane Images
In this paper, we propose a self-supervised learning framework for light field depth estimation.
Sequence-based Person Attribute Recognition with Joint CTC-Attention Model
Attribute recognition has become crucial because of its wide applications in many computer vision tasks, such as person re-identification.
Neural Person Search Machines
We investigate the problem of person search in the wild in this work.
Ranked #4 on
Person Re-Identification
on CUHK-SYSU
Video-based Person Re-identification with Accumulative Motion Context
Video based person re-identification plays a central role in realistic security and video surveillance.
Video-based Person Re-identification with Accumulative Motion Context
Video based person re-identification plays a central role in realistic security and video surveillance.
End-to-End Comparative Attention Networks for Person Re-identification
The CAN model is able to learn which parts of images are relevant for discerning persons and automatically integrates information from different parts to determine whether a pair of images belongs to the same person.
