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20222026
most citedBoosting the Transferability of Adversarial Attacks with Global Momentum Initialization

8 citations · 20 across the 25 of their papers we have counts for

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cs.RO2026

Beyond Token Importance: Preserving Spatial Scaffolds for Efficient Vision-Language-Action Inference

Jiayu Chen, Shuyong Gao, Jingkai Jia +6

Existing VLA pruning strategies primarily select individual visual tokens according to task-level semantic relevance, while overlooking the spatial information required for robotic…

cs.CV2026

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation

Yujie Wei, Yujin Han, Zhekai Chen +20

Video generation is rapidly evolving from single-shot synthesis to complex multi-shot audio-video (MSAV) narratives to meet real-world demands. However, evaluating such frontier mo…

cs.CV2026

VLA-Hijack: A Transferable Patch Attack against Vision-Language-Action Models via Visual Proprioception Hijacking

Jiyuan Fu, Kaixun Jiang, Jingkai Jia +7

While Vision-Language-Action (VLA) models have emerged as powerful generalist policies, their severe vulnerability to adversarial patches significantly hinders their deployment in…

cs.CV2026

Unified Multimodal Visual Tracking with Dual Mixture-of-Experts

Lingyi Hong, Jinglun Li, Xinyu Zhou +6

Multimodal visual object tracking can be divided into to several kinds of tasks (e.g. RGB and RGB+X tracking), based on the input modality. Existing methods often train separate mo…

cs.CV2026

The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results

Xingyu Qiu, Yuqian Fu, Jiawei Geng +70

Cross-domain few-shot object detection (CD-FSOD) remains a challenging problem for existing object detectors and few-shot learning approaches, particularly when generalizing across…