36 citations · 136 across the 25 of their papers we have counts for
8 papers · 1 filter
Hulk: A Universal Knowledge Translator for Human-Centric Tasks
Yizhou Wang, Yixuan Wu, Weizhen He +8
Human-centric perception tasks, e.g., pedestrian detection, skeleton-based action recognition, and pose estimation, have wide industrial applications, such as metaverse and sports…
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
Honghui Yang, Sha Zhang, Di Huang +9
In the context of autonomous driving, the significance of effective feature learning is widely acknowledged. While conventional 3D self-supervised pre-training methods have shown w…
Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities
Kaijian Liu, Shixiang Tang, Ziyue Li +4
Person clustering with multi-modal clues, including faces, bodies, and voices, is critical for various tasks, such as movie parsing and identity-based movie editing. Related method…
MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators
Yaqi Zhang, Di Huang, Bin Liu +7
Generating realistic human motion from given action descriptions has experienced significant advancements because of the emerging requirement of digital humans. While recent works…
Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions
Weizhen He, Yiheng Deng, Shixiang Tang +9
Human intelligence can retrieve any person according to both visual and language descriptions. However, the current computer vision community studies specific person re-identificat…
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
Shixiang Tang, Cheng Chen, Qingsong Xie +9
Human-centric perceptions include a variety of vision tasks, which have widespread industrial applications, including surveillance, autonomous driving, and the metaverse. It is des…
UniHCP: A Unified Model for Human-Centric Perceptions
Yuanzheng Ci, Yizhou Wang, Meilin Chen +7
Human-centric perceptions (e.g., pose estimation, human parsing, pedestrian detection, person re-identification, etc.) play a key role in industrial applications of visual models.…
Saliency Guided Contrastive Learning on Scene Images
Meilin Chen, Yizhou Wang, Shixiang Tang +6
Self-supervised learning holds promise in leveraging large numbers of unlabeled data. However, its success heavily relies on the highly-curated dataset, e.g., ImageNet, which still…