activity
20242026
most citedThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter

4 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

A Very Big Video Reasoning Suite

Maijunxian Wang, Ruisi Wang, Juyi Lin +53

Rapid progress in video models has largely focused on visual quality, leaving their reasoning capabilities underexplored. Video reasoning grounds intelligence in spatiotemporally c…

cs.LG2025

Clebsch-Gordan Transformer: Fast and Global Equivariant Attention

Owen Lewis Howell, Linfeng Zhao, Xupeng Zhu +6

The global attention mechanism is one of the keys to the success of transformer architecture, but it incurs quadratic computational costs in relation to the number of tokens. On th…

cs.AI2025

WHEN TO ACT, WHEN TO WAIT: Modeling the Intent-Action Alignment Problem in Dialogue

Yaoyao Qian, Jindan Huang, Yuanli Wang +5

Dialogue systems often fail when user utterances are semantically complete yet lack the clarity and completeness required for appropriate system action. This mismatch arises becaus…

cs.RO2025

Hierarchical Equivariant Policy via Frame Transfer

Haibo Zhao, Dian Wang, Yizhe Zhu +6

Recent advances in hierarchical policy learning highlight the advantages of decomposing systems into high-level and low-level agents, enabling efficient long-horizon reasoning and…

cs.RO2024★ 4 cited

ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter

Yaoyao Qian, Xupeng Zhu, Ondrej Biza +5

Robotic grasping in cluttered environments remains a significant challenge due to occlusions and complex object arrangements. We have developed ThinkGrasp, a plug-and-play vision-l…

cs.RO2024

Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies

Haojie Huang, Karl Schmeckpeper, Dian Wang +6

Humans can imagine goal states during planning and perform actions to match those goals. In this work, we propose Imagination Policy, a novel multi-task key-frame policy network fo…