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20242026
most citedOn the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

1 citations · 1 across the 4 of their papers we have counts for

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cs.CY20261 cited

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

Yue Huang, Chujie Gao, Siyuan Wu +63

Generative Foundation Models (GenFMs) have emerged as transformative tools. However, their widespread adoption raises critical concerns regarding trustworthiness across dimensions.…

cs.CV2026

PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning

Shaoxuan Li, Zhixuan Zhao, Hanze Deng +9

We introduce PerceptionComp, a manually annotated benchmark for complex, long-horizon, perception-centric video reasoning. PerceptionComp is designed so that no single moment is su…

cs.CV2026

Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models

Liwei Che, Zhiyu Xue, Yihao Quan +7

Counting serves as a simple but powerful test of a Large Vision-Language Model's (LVLM's) reasoning; it forces the model to identify each individual object and then add them all up…

cs.CV2026

CapNav: Benchmarking Vision Language Models on Capability-conditioned Indoor Navigation

Xia Su, Ruiqi Chen, Benlin Liu +4

Vision-Language Models (VLMs) have shown remarkable progress in Vision-Language Navigation (VLN), offering new possibilities for navigation decision-making that could benefit both…

cs.CV2026

OmniView: An All-Seeing Diffusion Model for 3D and 4D View Synthesis

Xiang Fan, Sharath Girish, Vivek Ramanujan +6

Prior approaches injecting camera control into diffusion models have focused on specific subsets of 4D consistency tasks: novel view synthesis, text-to-video with camera control, i…