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02/28/2023
Focus On Details: Online Multi-object Tracking with Diverse Fine-grained Representation
Discriminative representation is essential to keep a unique identifier f...
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03/27/2022
Towards Discriminative Representation: Multi-view Trajectory Contrastive Learning for Online Multi-object Tracking
Discriminative representation is crucial for the association step in mul...
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11/19/2021
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method
Intelligent Internet of Things (IoT) systems based on deep neural networ...
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05/10/2021
RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation
Existing online multiple object tracking (MOT) algorithms often consist ...
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12/27/2020
ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification
Due to the lack of labels and the domain diversities, it is a challenge ...
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09/24/2020
FTN: Foreground-Guided Texture-Focused Person Re-Identification
Person re-identification (Re-ID) is a challenging task as persons are of...
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09/10/2020
MAT: Motion-Aware Multi-Object Tracking
Modern multi-object tracking (MOT) systems usually model the trajectorie...
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03/16/2020
Refinements in Motion and Appearance for Online Multi-Object Tracking
Modern multi-object tracking (MOT) system usually involves separated mod...
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02/07/2020
Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks
Graph convolutional network (GCN) is now an effective tool to deal with ...
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02/06/2020