9 citations · 13 across the 12 of their papers we have counts for
12 papers
DialogueVPR: Towards Conversational Visual Place Recognition
Yukun Song, Changwei Wang, Xingtian Pei +8
Inspired by how humans communicate spatial information, language-guided geo-localization has gained significant traction for its intuitive and practical value. Despite this progres…
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…
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…
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…
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…
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…
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…
S2A: A Unified Framework for Parameter and Memory Efficient Transfer Learning
Tian Jin, Enjun Du, Changwei Wang +2
Parameter-efficient transfer learning (PETL) aims to reduce the scales of pretrained models for multiple downstream tasks. However, as the models keep scaling up, the memory footpr…
PSTNet: Enhanced Polyp Segmentation with Multi-scale Alignment and Frequency Domain Integration
Wenhao Xu, Rongtao Xu, Changwei Wang +3
Accurate segmentation of colorectal polyps in colonoscopy images is crucial for effective diagnosis and management of colorectal cancer (CRC). However, current deep learning-based…
Generalization Boosted Adapter for Open-Vocabulary Segmentation
Wenhao Xu, Changwei Wang, Xuxiang Feng +5
Vision-language models (VLMs) have demonstrated remarkable open-vocabulary object recognition capabilities, motivating their adaptation for dense prediction tasks like segmentation…
HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection
Shibiao Xu, ShuChen Zheng, Wenhao Xu +6
Infrared small object detection is an important computer vision task involving the recognition and localization of tiny objects in infrared images, which usually contain only a few…
Spectral Prompt Tuning:Unveiling Unseen Classes for Zero-Shot Semantic Segmentation
Wenhao Xu, Rongtao Xu, Changwei Wang +4
Recently, CLIP has found practical utility in the domain of pixel-level zero-shot segmentation tasks. The present landscape features two-stage methodologies beset by issues such as…