activity
20232026
most citedVQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving

1 citations · 2 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

GUI-CC: Benchmarking Contextual Consistency of GUI World Models as Agent Environments

Lin Fu, Zheyuan Yang, Tianhui Zhang +5

GUI world models are increasingly evaluated as one-step next-screen predictors, yet their intended use is often as multi-step environments for GUI agents. This mismatch leaves a ke…

cs.AI2026

Are Android GUI Agents Robust Against Runtime Anomalies? AnTrap: Evaluating Agents in Dynamic Adversarial Environments

Guo Gan, Yilun Zhao, Cong Chen +5

GUI agents often encounter dynamic anomalies when deployed on Android devices, from unexpected pop-ups to action misuse, yet existing benchmarks lack systematic evaluation of agent…

cs.CV2026

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains

Diandian Zhang, Tingyu Song, Lin Fu +2

We introduce Sci-VBench, a comprehensive benchmark for evaluating knowledge- and reasoning-intensive video generation across scientific domains. It contains 1,253 expert-annotated…

cs.CV2026

VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding

Lin Fu, Zheyuan Yang, Yang Wang +3

We introduce VideoKR, the first large-scale training corpus specifically designed to strengthen knowledge- and reasoning-intensive video understanding. It comprises 315K video reas…

cs.LG2026

Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection

Heqiang Wang, Weihong Yang, Zheyuan Yang +4

Industrial anomaly detection has attracted significant attention as a fundamental challenge in industrial systems. The rapid advancement of heterogeneous industrial sensors has dri…

cs.CL2026

TableVista: Benchmarking Multimodal Table Reasoning under Visual and Structural Complexity

Zheyuan Yang, Liqiang Shang, Junjie Chen +6

We introduce TableVista, a comprehensive benchmark for evaluating foundation models in multimodal table reasoning under visual and structural complexity. TableVista consists of 3,0…