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20242026
most citedInfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation

2 citations · 2 across the 32 of their papers we have counts for

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cs.CV2026

ReMoMask-2: Latent Retrieval-Augmented Masked Motion Generation

Yiran Wang, Zeyu Zhang, Ling Shao +1

Text-to-motion (T2M) generation maps natural language to human joint movements, aiding gaming, VR, and robotics. Retrieval-Augmented Text-to-Motion (RAG-T2M) improves generation on…

cs.CV2026

MobileVLA-R1 2.0: RL-Enhanced Reasoning for Mobile Robot Control

Ting Huang, Yue Huang, Zeyu Zhang +2

Grounding natural-language instructions into reliable and executable actions remains a fundamental challenge for vision-language-action (VLA) systems on mobile robots, due to the p…

cs.CV2026

ConsiSpace: Learning Geometric Consistency Matters for Video Spatial Reasoning

Ting Huang, Zhenyu Zhang, Wenyuan Huang +2

Video spatial reasoning is essential for navigation-oriented perception and long-video question answering, where models must infer spatial relations across long horizons under chan…

cs.CV2026

GeneralVLA-2: Geometry-Aware Reconstruction and Governed Memory for Robot Planning

Haoyu Wang, Guoqing Ma, Zeyu Zhang +3

Generalist vision-language-action systems need object-centric 3D evidence and reusable manipulation experience to plan reliable robot trajectories. GeneralVLA provides a hierarchic…

cs.CV2026

MotionVLA: Vision-Language-Action Model for Humanoid Motion

Nonghai Zhang, Siyu Zhai, Yanjun Li +5

Generating realistic humanoid motion from scene images and text involves both low-frequency pose semantics and high-frequency physical dynamics. However, many existing methods toke…

cs.CV2026

PresentAgent-2: Towards Generalist Multimodal Presentation Agents

Wei Wu, Ziyang Xu, Zeyu Zhang +2

Presentation generation is moving beyond static slide creation toward end-to-end presentation video generation with research grounding, multimodal media, and interactive delivery.…