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08/17/2023
Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification
This paper aims to learn a domain-generalizable (DG) person re-identific...
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04/19/2023
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation
Perception systems in modern autonomous driving vehicles typically take ...
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11/07/2022
Generalizable Re-Identification from Videos with Cycle Association
In this paper, we are interested in learning a generalizable person re-i...
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10/24/2022
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval
Current person image retrieval methods have achieved great improvements ...
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10/20/2022
Self-Supervised Learning via Maximum Entropy Coding
A mainstream type of current self-supervised learning methods pursues a ...
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12/03/2021
Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset)
Due to the expensive data collection process, micro-expression datasets ...
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07/05/2021
Do Different Tracking Tasks Require Different Appearance Models?
Tracking objects of interest in a video is one of the most popular and w...
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06/30/2021
Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking
Association, aiming to link bounding boxes of the same identity in a vid...
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07/15/2020
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions
This paper proposes a self-supervised learning method for the person re-...
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02/25/2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization
This paper provides a pair similarity optimization viewpoint on deep fea...
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11/27/2019
Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking
Multi-target multi-camera tracking (MTMCT) systems track targets across ...
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09/27/2019
Towards Real-Time Multi-Object Tracking
Modern multiple object tracking (MOT) systems usually follow the trackin...
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08/04/2019
Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning
The softmax loss and its variants are widely used as objectives for embe...
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03/27/2019
Linkage Based Face Clustering via Graph Convolution Network
In this paper, we present an accurate and scalable approach to the face ...
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10/31/2018