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08/01/2023
Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities
Person clustering with multi-modal clues, including faces, bodies, and v...
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06/19/2023
MotionGPT: Finetuned LLMs are General-Purpose Motion Generators
Generating realistic human motion from given action descriptions has exp...
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06/13/2023
Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions
Human intelligence can retrieve any person according to both visual and ...
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03/10/2023
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
Human-centric perceptions include a variety of vision tasks, which have ...
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03/06/2023
UniHCP: A Unified Model for Human-Centric Perceptions
Human-centric perceptions (e.g., pose estimation, human parsing, pedestr...
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02/22/2023
Saliency Guided Contrastive Learning on Scene Images
Self-supervised learning holds promise in leveraging large numbers of un...
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05/10/2022
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains
Generalizing learned representations across significantly different visu...
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12/16/2021
Feature Erasing and Diffusion Network for Occluded Person Re-Identification
Occluded person re-identification (ReID) aims at matching occluded perso...
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12/01/2021
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
The pretrain-finetune paradigm is a classical pipeline in visual learnin...
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05/26/2021
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification
Recent years have witnessed significant progress in person re-identifica...
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05/17/2021
Layerwise Optimization by Gradient Decomposition for Continual Learning
Deep neural networks achieve state-of-the-art and sometimes super-human ...
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03/29/2021
Complementary Relation Contrastive Distillation
Knowledge distillation aims to transfer representation ability from a te...
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07/25/2020
Gradient Regularized Contrastive Learning for Continual Domain Adaptation
Human beings can quickly adapt to environmental changes by leveraging le...
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06/08/2020
Continual Representation Learning for Biometric Identification
With the explosion of digital data in recent years, continuously learnin...
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03/16/2020
