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20242026
most citedLSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation

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

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cs.CV2026

Interactive Tracking: A Human-in-the-Loop Paradigm with Memory-Augmented Adaptation

Yuqing Huang, Guotian Zeng, Zhenqiao Yuan +4

Existing visual trackers mainly operate in a non-interactive, fire-and-forget manner, making them impractical for real-world scenarios that require human-in-the-loop adaptation. To…

cs.CV2026

Cluster-Wise Spatio-Temporal Masking for Efficient Video-Language Pretraining

Weijun Zhuang, Yuqing Huang, Weikang Meng +5

Large-scale video-language pretraining enables strong generalization across multimodal tasks but often incurs prohibitive computational costs. Although recent advances in masked vi…

cs.CV2026

CLIP-Guided Adaptable Self-Supervised Learning for Human-Centric Visual Tasks

Mingshuang Luo, Ruibing Hou, Bo Chao +4

Human-centric visual analysis plays a pivotal role in diverse applications, including surveillance, healthcare, and human-computer interaction. With the emergence of large-scale un…

cs.CV2025

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI

Chenqian Le, Yilin Zhao, Nikasadat Emami +4

Recent advances in fMRI-based visual decoding have enabled compelling reconstructions of perceived images. However, most approaches rely on subject-specific training, limiting scal…

cs.CV2025

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models

Qiming Li, Zekai Ye, Xiaocheng Feng +8

Although Large Vision-Language Models (LVLMs) have demonstrated powerful capabilities in interpreting visual information, they frequently produce content that deviates from visual…

cs.CV2025

FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation

Fan Yang, Yousong Zhu, Xin Li +6

Recent Large Vision Language Models (LVLMs) demonstrate promising capabilities in unifying visual understanding and generative modeling, enabling both accurate content understandin…