activity
20242026
most citedFaithful Logical Reasoning via Symbolic Chain-of-Thought

4 citations · 15 across the 23 of their papers we have counts for

collaborators
Showing cs.CVShow all

13 papers · 1 filter

cs.CV2026

UrbanGround: From Local Perception to Spatial Agency in a Real-Scale City

Tianjie Ju, Zheng Wu, Yueqing Sun +15

Multimodal large language models (MLLMs) can interpret a street view, but urban agency depends on whether such local evidence remains useful after the agent starts to move. In this…

cs.CV2026

HoloGeo: Mitigating Landmark Bias in Geo-localization via Evidence-Driven Reasoning

Pengcheng Zhou, Xuanyu Liu, Yanchen Yin +4

Recent advances in Vision-Language Models (VLMs) have significantly improved image geo-localization, yet existing models remain susceptible to landmark bias, causing them to overlo…

cs.CV2026

SCP: Spatial Causal Prediction in Video

Yanguang Zhao, Jie Yang, Shengqiong Wu +9

Spatial reasoning, the ability to understand spatial relations, causality, and dynamic evolution, is central to human intelligence and essential for real-world applications such as…

cs.CV2026

Orthogonal Spatial-temporal Distributional Transfer for 4D Generation

Wei Liu, Shengqiong Wu, Bobo Li +4

In the AIGC era, generating high-quality 4D content has garnered increasing research attention. Unfortunately, current 4D synthesis research is severely constrained by the lack of…

cs.CV2026

UniM: A Unified Any-to-Any Interleaved Multimodal Benchmark

Yanlin Li, Minghui Guo, Kaiwen Zhang +13

In real-world multimodal applications, systems usually need to comprehend arbitrarily combined and interleaved multimodal inputs from users, while also generating outputs in any in…

cs.CV2026

Unveiling the Cognitive Compass: Theory-of-Mind-Guided Multimodal Emotion Reasoning

Meng Luo, Bobo Li, Shanqing Xu +8

Despite rapid progress in multimodal large language models (MLLMs), their capability for deep emotional understanding remains limited. We argue that genuine affective intelligence…