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20232026
most citedHCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection

9 citations · 13 across the 12 of their papers we have counts for

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11 papers · 1 filter

cs.CV2025

CurriFlow: Curriculum-Guided Depth Fusion with Optical Flow-Based Temporal Alignment for 3D Semantic Scene Completion

Jinzhou Lin, Jie Zhou, Wenhao Xu +7

Semantic Scene Completion (SSC) aims to infer complete 3D geometry and semantics from monocular images, serving as a crucial capability for camera-based perception in autonomous dr…

cs.CV2025

SAGE: Spatial-visual Adaptive Graph Exploration for Efficient Visual Place Recognition

Shunpeng Chen, Changwei Wang, Rongtao Xu +7

Visual Place Recognition (VPR) requires robust retrieval of geotagged images despite large appearance, viewpoint, and environmental variation. Prior methods focus on descriptor fin…

cs.CV2025★ 1 cited

SAMamba: Adaptive State Space Modeling with Hierarchical Vision for Infrared Small Target Detection

Wenhao Xu, Shuchen Zheng, Changwei Wang +4

Infrared small target detection (ISTD) is vital for long-range surveillance in military, maritime, and early warning applications. ISTD is challenged by targets occupying less than…

cs.CV2025

FDBPL: Faster Distillation-Based Prompt Learning for Region-Aware Vision-Language Models Adaptation

Zherui Zhang, Jiaxin Wu, Changwei Wang +6

Prompt learning as a parameter-efficient method that has been widely adopted to adapt Vision-Language Models (VLMs) to downstream tasks. While hard-prompt design requires domain ex…

cs.CV2025★ 1 cited

Image Recognition with Online Lightweight Vision Transformer: A Survey

Zherui Zhang, Rongtao Xu, Jie Zhou +8

The Transformer architecture has achieved significant success in natural language processing, motivating its adaptation to computer vision tasks. Unlike convolutional neural networ…

cs.CV2025

CAE-DFKD: Bridging the Transferability Gap in Data-Free Knowledge Distillation

Zherui Zhang, Changwei Wang, Rongtao Xu +4

Data-Free Knowledge Distillation (DFKD) enables the knowledge transfer from the given pre-trained teacher network to the target student model without access to the real training da…