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20242026
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cs.CV2026

Evidence-Grounded Trustworthy Multimodal Reasoning and Evaluation Benchmark in Complex Urban Scenes

Zhaoyang Wei, Bowen Jiang, Xumeng Han +6

While Multimodal Large Language Models (MLLMs) demonstrate impressive performance in benign scenarios, their cognitive reliability deteriorates significantly in complex scenes unde…

cs.CV2026

GeoBridge: Decoupled Semantic Conditioning for Generative Image Geolocalization

Zhiyang Dou, Xumeng Han, Fengde Peng +4

Multimodal large language models (MLLMs) have advanced image geolocalization mainly by improving how they reason about geographic cues. How that reasoning isdecoded into coordinate…

cs.CV2026

HeroGS: Hierarchical Guidance for Robust 3D Gaussian Splatting under Sparse Views

Jiashu Li, Xumeng Han, Zhaoyang Wei +5

3D Gaussian Splatting (3DGS) has recently emerged as a promising approach in novel view synthesis, combining photorealistic rendering with real-time efficiency. However, its succes…

cs.CV20261 cited

SAPNet++: Evolving Point-Prompted Instance Segmentation with Semantic and Spatial Awareness

Zhaoyang Wei, Xumeng Han, Xuehui Yu +4

Single-point annotation is increasingly prominent in visual tasks for labeling cost reduction. However, it challenges tasks requiring high precision, such as the point-prompted ins…

cs.CV2025

VER-Bench: Evaluating MLLMs on Reasoning with Fine-Grained Visual Evidence

Chenhui Qiang, Zhaoyang Wei, Xumeng Han +5

With the rapid development of MLLMs, evaluating their visual capabilities has become increasingly crucial. Current benchmarks primarily fall into two main types: basic perception b…

cs.CV2025

Evidence-Grounded Trustworthy Multimodal Reasoning and Evaluation Benchmark in Complex Urban Scenes

Zhaoyang Wei, Bowen Jiang, Xumeng Han +6

While Multimodal Large Language Models (MLLMs) demonstrate impressive performance in benign scenarios, their cognitive reliability deteriorates significantly in complex scenes unde…