most citedExplicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results

Andrey Moskalenko, Alexey Bryncev, Ivan Kosmynin +40

This paper presents an overview of the NTIRE 2026 Challenge on Video Saliency Prediction. The goal of the challenge participants was to develop automatic saliency map prediction me…

cs.CV2026

Camouflage-aware Image-Text Retrieval via Expert Collaboration

Yao Jiang, Zhongkuan Mao, Xuan Wu +2

Camouflaged scene understanding (CSU) has attracted significant attention due to its broad practical implications. However, in this field, robust image-text cross-modal alignment r…

cs.CV2024

Textual Inversion and Self-supervised Refinement for Radiology Report Generation

Yuanjiang Luo, Hongxiang Li, Xuan Wu +6

Existing mainstream approaches follow the encoder-decoder paradigm for generating radiology reports. They focus on improving the network structure of encoders and decoders, which l…

cs.CV2024

Uncertainty-aware sign language video retrieval with probability distribution modeling

Xuan Wu, Hongxiang Li, Yuanjiang Luo +4

Sign language video retrieval plays a key role in facilitating information access for the deaf community. Despite significant advances in video-text retrieval, the complexity and i…

cs.CV2024★ 1 cited

Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection

Xin Zhang, Tao Xiao, Gepeng Ji +3

Camouflage poses challenges in distinguishing a static target, whereas any movement of the target can break this disguise. Existing video camouflaged object detection (VCOD) approa…