5 papers
Unleashing Spatial Reasoning in Multimodal Large Language Models via Textual Representation Guided Reasoning
Jiacheng Hua, Yishu Yin, Yuhang Wu +3
Existing Multimodal Large Language Models (MLLMs) struggle with 3D spatial reasoning, as they fail to construct structured abstractions of the 3D environment depicted in video inpu…
OpenGo: An OpenClaw-Based Robotic Dog with Real-Time Skill Switching
Hanbing Li, Xuewei Cao, Zhiwen Zeng +3
Adaptation to complex tasks and multiple scenarios remains a significant challenge for a single robot agent. The ability to acquire organize, and switch between a wide range of ski…
Think3D: Thinking with Space for Spatial Reasoning
Zaibin Zhang, Yuhan Wu, Lianjie Jia +9
While contemporary Vision-Language Models (VLMs) excel at 2D visual understanding, they remain constrained by a passive, 2D-centric paradigm that severely limits genuine 3D spatial…
AR-MOT: Autoregressive Multi-object Tracking
Lianjie Jia, Yuhan Wu, Binghao Ran +3
As multi-object tracking (MOT) tasks continue to evolve toward more general and multi-modal scenarios, the rigid and task-specific architectures of existing MOT methods increasingl…
How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective
Songsong Yu, Yuxin Chen, Hao Ju +15
Visual Spatial Reasoning (VSR) is a core human cognitive ability and a critical requirement for advancing embodied intelligence and autonomous systems. Despite recent progress in V…