91 citations · 162 across the 22 of their papers we have counts for
23 papers
Close Shortcut Wins Long: Seeking Diverse and Stable Generators for Data-Free Knowledge Distillation
Kailin Lyu, Zherui Zhang, Junhao Dong +11
Data-Free Knowledge Distillation (DFKD) preserves privacy by transferring knowledge without real data access. However, existing generator-based DFKD methods suffer from over-relian…
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…
DeliCIR: Memory-Guided Test-Time Deliberation via Multi-Agent Collaboration for Composed Image Retrieval
Xingtian Pei, Yukun Song, Changwei Wang +4
Composed Image Retrieval (CIR) requires both preserving the visual continuity of the reference image and faithfully executing the semantic variables specified in the modification t…
Region Matters: Efficient and Reliable Region-Aware Visual Place Recognition
Shunpeng Chen, Yukun Song, Changwei Wang +6
Visual Place Recognition (VPR) determines a query image's geographic location by matching it against geotagged databases. However, existing methods struggle with perceptual aliasin…
SE-EE Tradeoff in Pinching-Antenna Systems: Waveguide Multiplexing or Waveguide Switching?
Guangyu Zhu, Xidong Mu, Li Guo +3
The spectral and energy efficiency (SE-EE) trade-off in pinching-antenna systems (PASS) is investigated in this paper. In particular, two practical operating protocols, namely wave…
Complementary Information Guided Occupancy Prediction via Multi-Level Representation Fusion
Rongtao Xu, Jinzhou Lin, Jialei Zhou +6
Camera-based occupancy prediction is a mainstream approach for 3D perception in autonomous driving, aiming to infer complete 3D scene geometry and semantics from 2D images. Almost…
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…
3D-MoRe: Unified Modal-Contextual Reasoning for Embodied Question Answering
Rongtao Xu, Han Gao, Mingming Yu +6
With the growing need for diverse and scalable data in indoor scene tasks, such as question answering and dense captioning, we propose 3D-MoRe, a novel paradigm designed to generat…
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…
Movable-Element STARS-Assisted Near-Field Wideband Communications
Guangyu Zhu, Xidong Mu, Li Guo +2
A novel movable-element simultaneously transmitting and reflecting surface (ME-STARS)-assisted near-field wideband communication framework is proposed. In particular, the position…
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…
Pinching-Antenna Systems (PASS)-enabled Secure Wireless Communications
Guangyu Zhu, Xidong Mu, Li Guo +3
A novel pinching-antenna systems (PASS)-enabled secure wireless communication framework is proposed. By dynamically adjusting the positions of dielectric particles, namely pinching…
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…
Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision
Xiaofeng Han, Shunpeng Chen, Zenghuang Fu +9
Robot vision has greatly benefited from advancements in multimodal fusion techniques and vision-language models (VLMs). We adopt a task-oriented perspective to systematically revie…
STAR-RIS Assisted SWIPT Systems: Active or Passive?
Guangyu Zhu, Xidong Mu, Li Guo +2
A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted simultaneous wireless information and power transfer (SWIPT) system is investiga…
Enhancing User Fairness in Wireless Powered Communication Networks with STAR-RIS
Guangyu Zhu, Xidong Mu, Li Guo +2
A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted wireless powered communication network (WPCN) is proposed, where two energy-limi…
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…
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…
Local Feature Matching Using Deep Learning: A Survey
Shibiao Xu, Shunpeng Chen, Rongtao Xu +3
Local feature matching enjoys wide-ranging applications in the realm of computer vision, encompassing domains such as image retrieval, 3D reconstruction, and object recognition. Ho…
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…
Advances in Embodied Navigation Using Large Language Models: A Survey
Jinzhou Lin, Han Gao, Xuxiang Feng +5
In recent years, the rapid advancement of Large Language Models (LLMs) such as the Generative Pre-trained Transformer (GPT) has attracted increasing attention due to their potentia…