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8 papers · 1 filter

cs.CV2024

RefHCM: A Unified Model for Referring Perceptions in Human-Centric Scenarios

Jie Huang, Ruibing Hou, Jiahe Zhao +2

Human-centric perceptions play a crucial role in real-world applications. While recent human-centric works have achieved impressive progress, these efforts are often constrained to…

cs.CV2024

UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models

Jiachen Liang, Ruibing Hou, Minyang Hu +3

Pre-trained vision-language models (e.g., CLIP) have shown powerful zero-shot transfer capabilities. But they still struggle with domain shifts and typically require labeled data t…

cs.CV2024

UniPose: A Unified Multimodal Framework for Human Pose Comprehension, Generation and Editing

Yiheng Li, Ruibing Hou, Hong Chang +2

Human pose plays a crucial role in the digital age. While recent works have achieved impressive progress in understanding and generating human poses, they often support only a sing…

cs.CV2024

Morph: A Motion-free Physics Optimization Framework for Human Motion Generation

Zhuo Li, Mingshuang Luo, Ruibing Hou +5

Human motion generation has been widely studied due to its crucial role in areas such as digital humans and humanoid robot control. However, many current motion generation approach…

cs.CV2024

HERM: Benchmarking and Enhancing Multimodal LLMs for Human-Centric Understanding

Keliang Li, Zaifei Yang, Jiahe Zhao +5

The significant advancements in visual understanding and instruction following from Multimodal Large Language Models (MLLMs) have opened up more possibilities for broader applicati…

cs.CV2024

Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation

Jiachen Liang, Ruibing Hou, Hong Chang +3

Traditional semi-supervised learning (SSL) assumes that the feature distributions of labeled and unlabeled data are consistent which rarely holds in realistic scenarios. In this pa…

cs.CV2024

MGPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation

Mingshuang Luo, Ruibing Hou, Zhuo Li +4

This paper presents MGPT, an advanced ultimodal, ultitask framework for otion comprehension and generation. MGPT operates on three funda…

cs.CV2024

Clothes-Changing Person Re-Identification with Feasibility-Aware Intermediary Matching

Jiahe Zhao, Ruibing Hou, Hong Chang +4

Current clothes-changing person re-identification (re-id) approaches usually perform retrieval based on clothes-irrelevant features, while neglecting the potential of clothes-relev…