collaborators

16 papers

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…

cs.CL2026

LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops

Jiyuan Fu, Kaixun Jiang, Lingyi Hong +5

Multimodal Large Language Models (MLLMs) have shown great promise but require substantial computational resources during inference. Attackers can exploit this by inducing excessive…

cs.CV2025

RSAgent: Learning to Reason and Act for Text-Guided Segmentation via Multi-Turn Tool Invocations

Xingqi He, Yujie Zhang, Shuyong Gao +6

Text-guided object segmentation requires both cross-modal reasoning and pixel grounding abilities. Most recent methods treat text-guided segmentation as one-shot grounding, where t…