Gengming Zhang — accepted AI-conference papers

2026

RoSAMDepth: Robust Self-supervised Depth Estimation Leveraging Segment Anything Model

Xuanang Gao, Zhiwei Ning, Gengming Zhang, Jiaxi Cao, Runze Yang, Zhonglong Zheng +3

CVPR 2026

Robust depth estimation aims to maintain high-quality depths across diverse conditions. However, most existing methods estimate depth without taking into account the object-level information. As a result, the predicted depth may easily deviate within objects and become blurred under adverse conditio

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2026

V-ABS: Action-Observer Driven Beam Search for Dynamic Visual Reasoning

Zhiwei Ning, Xuanang Gao, Jiaxi Cao, Gengming Zhang, Shengnan Ma, Wenwen Tong +3

ICML 2026poster

Multimodal large language models (MLLMs) have achieved remarkable success in general perception, yet complex multi-step visual reasoning remains a persistent challenge. Although recent agentic approaches incorporate tool use, they often neglect critical execution feedback. Consequently, they suffer …

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