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cs.SD2026
OmniEcho: Audio-Visual Spatial Understanding for Omni-Modal Embodied Agents
Ruixun Liu, Yuxuan Wang, Jiacheng Xie +10
Humans can effortlessly localize the direction of a sound source and integrate it with visual cues for reasoning, yet this remains challenging for embodied agents. In particular, i…
cs.CV2026
CVSBench: A Comprehensive Benchmark for Cross-view Spatial Reasoning and Dreaming
Ruixun Liu, Lingyu Zhang, Lanxuan Xue +3
Humans can effortlessly reason about scenes across different viewpoints, yet it remains unclear whether Vision-Language Models (VLMs) possess similar cross-view spatial abilities.…
cs.CV2026
MEval: Multi-Modal Memory Evaluation through Cognitively-Grounded Video Tasks
Jie Huang, Ruixun Liu, Sirui Sun +4
As multi-modal models advance towards long-form video understanding, memory emerges as a critical capability. Despite substantial efforts in developing video datasets and benchmark…