73 citations · 156 across the 9 of their papers we have counts for
9 papers
Revisiting Articulated Parts Perception in Robot Manipulation
Xiaoqian Wu, Yejie Guo, Xiaoyang Chen +3
We are surrounded by various objects with movable, articulated parts, e.g., box, handle, door. An accurate and generalizable perception of articulated parts is essential to enhance…
Verb Mirage: Unveiling and Assessing Verb Concept Hallucinations in Multimodal Large Language Models
Zehao Wang, Xinpeng Liu, Yudonglin Zhang +6
Multimodal Large Language Models (MLLMs) have garnered significant attention recently and demonstrate outstanding capabilities in various tasks such as OCR, VQA, captioning, $\text…
Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning
Xiaoqian Wu, Yong-Lu Li, Jianhua Sun +1
Human reasoning can be understood as a cooperation between the intuitive, associative "System-1" and the deliberative, logical "System-2". For existing System-1-like methods in vis…
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding
Yong-Lu Li, Xiaoqian Wu, Xinpeng Liu +8
Action understanding has attracted long-term attention. It can be formed as the mapping from the physical space to the semantic space. Typically, researchers built datasets accordi…
Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection
Xiaoqian Wu, Yong-Lu Li, Xinpeng Liu +3
Human-Object Interaction (HOI) detection plays a crucial role in activity understanding. Though significant progress has been made, interactiveness learning remains a challenging p…
Interactiveness Field in Human-Object Interactions
Xinpeng Liu, Yong-Lu Li, Xiaoqian Wu +3
Human-Object Interaction (HOI) detection plays a core role in activity understanding. Though recent two/one-stage methods have achieved impressive results, as an essential step, di…
HAKE: A Knowledge Engine Foundation for Human Activity Understanding
Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu +6
Human activity understanding is of widespread interest in artificial intelligence and spans diverse applications like health care and behavior analysis. Although there have been ad…
Transferable Interactiveness Knowledge for Human-Object Interaction Detection
Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu +3
Human-Object Interaction (HOI) detection is an important problem to understand how humans interact with objects. In this paper, we explore interactiveness knowledge which indicates…
HOI Analysis: Integrating and Decomposing Human-Object Interaction
Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu +2
Human-Object Interaction (HOI) consists of human, object and implicit interaction/verb. Different from previous methods that directly map pixels to HOI semantics, we propose a nove…