3.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN257 papers
- Beijing Academy of Quantum Information SciencesCN235 papers
- Peking UniversityCN220 papers
- University of Science and Technology of ChinaCN204 papers
- Tsinghua UniversityCN193 papers
- University of Chinese Academy of SciencesCN143 papers
- University of Hong KongHK135 papers
- Institute of PhysicsPL94 papers
- National University of SingaporeSG94 papers
- Peng Cheng LaboratoryCN94 papers
- Hong Kong University of Science and TechnologyHK93 papers
- Fudan UniversityCN90 papers
69 papers · 1 filter
CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies
Fan Du, Feng Yan, Jianxiong Wu +8
Flow-based vision-language-action (VLA) policies offer strong expressivity for action generation, but suffer from a fundamental inefficiency: multi-step inference is required to re…
Full end-to-end diagnostic workflow automation of 3D OCT via foundation model-driven AI for retinal diseases
Jinze Zhang, Jian Zhong, Li Lin +18
Optical coherence tomography (OCT) has revolutionized retinal disease diagnosis with its high-resolution and three-dimensional imaging nature, yet its full diagnostic automation in…
Generalizing WiFi Gesture Recognition via Large-Model-Aware Semantic Distillation and Alignment
Feng-Qi Cui, Yu-Tong Guo, Tianyue Zheng +1
WiFi-based gesture recognition has emerged as a promising RF sensing paradigm for enabling non-contact and privacy-preserving human-computer interaction in AIoT environments. Howev…
HAVIR: HierArchical Vision to Image Reconstruction using CLIP-Guided Versatile Diffusion
Shiyi Zhang, Dong Liang, Hairong Zheng +1
The reconstruction of visual information from brain activity fosters interdisciplinary integration between neuroscience and computer vision. However, existing methods still face ch…
NeuroSwift: A Lightweight Cross-Subject Framework for fMRI Visual Reconstruction of Complex Scenes
Shiyi Zhang, Dong Liang, Yihang Zhou
Reconstructing visual information from brain activity via computer vision technology provides an intuitive understanding of visual neural mechanisms. Despite progress in decoding f…
DS-Det: Single-Query Paradigm and Attention Disentangled Learning for Flexible Object Detection
Guiping Cao, Xiangyuan Lan, Wenjian Huang +3
Popular transformer detectors have achieved promising performance through query-based learning using attention mechanisms. However, the roles of existing decoder query types (e.g.,…
Endoscopic Depth Estimation Based on Deep Learning: A Survey
Ke Niu, Zeyun Liu, Xue Feng +5
Endoscopic depth estimation is a critical technology for improving the safety and precision of minimally invasive surgery. It has attracted considerable attention from researchers…
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Kejie Zhao, Wenjia Hua, Aiersi Tuerhong +3
Recently, spiking neural networks (SNNs), deployed on neuromorphic chips, provide highly efficient solutions on edge devices in different scenarios. However, their ability to adapt…
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
Chengjie Wang, Xi Jiang, Bin-Bin Gao +4
Although mainstream unsupervised anomaly detection (AD) (including image-level classification and pixel-level segmentation)algorithms perform well in academic datasets, their perfo…
Understanding Particles From Video: Property Estimation of Granular Materials via Visuo-Haptic Learning
Zeqing Zhang, Guangze Zheng, Xuebo Ji +6
Granular materials (GMs) are ubiquitous in daily life. Understanding their properties is also important, especially in agriculture and industry. However, existing works require ded…
TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection
Chenyang Lei, Weiyuan Peng, Guang Zhou +4
Most autonomous driving (AD) datasets incur substantial costs for collection and labeling, inevitably yielding a plethora of low-quality and redundant data instances, thereby compr…
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence
Wenbo Huang, Jinghui Zhang, Guang Li +6
In few-shot action recognition (FSAR), long sub-sequences of video naturally express entire actions more effectively. However, the high computational complexity of mainstream Trans…
KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment
Zijian Zhao, Zhijie Cai, Tingwei Chen +4
Wireless sensing has recently found widespread applications in diverse environments, including homes, offices, and public spaces. By analyzing patterns in channel state information…
Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data
Jiayi Li, Xile Zhao, Jianli Wang +2
Recently, implicit neural representations (INRs) have attracted increasing attention for multi-dimensional data recovery. However, INRs simply map coordinates via a multi-layer per…
CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation
Weiheng Yao, Zhihan Lyu, Mufti Mahmud +3
Multi-modal neuroimaging analysis is crucial for a comprehensive understanding of brain function and pathology, as it allows for the integration of different imaging techniques, th…
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification
Shujun Yang, Yu Zhang, Yao Ding +1
Insufficient prior knowledge of a captured hyperspectral image (HSI) scene may lead the experts or the automatic labeling systems to offer incorrect labels or ambiguous labels (i.e…
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation
Yifan Zhao, Zhenyu Liang, Zhichao Lu +1
As one of the emerging challenges in Automated Machine Learning, the Hardware-aware Neural Architecture Search (HW-NAS) tasks can be treated as black-box multi-objective optimizati…
Stylizing Sparse-View 3D Scenes with Hierarchical Neural Representation
Y. Wang, A. Gao, Y. Gong +1
Recently, a surge of 3D style transfer methods has been proposed that leverage the scene reconstruction power of a pre-trained neural radiance field (NeRF). To successfully stylize…
UniAV: Unified Audio-Visual Perception for Multi-Task Video Event Localization
Tiantian Geng, Teng Wang, Jinming Duan +4
Video event localization tasks include temporal action localization (TAL), sound event detection (SED) and audio-visual event localization (AVEL). Existing methods tend to over-spe…
Deep Homography Estimation for Visual Place Recognition
Feng Lu, Shuting Dong, Lijun Zhang +4
Visual place recognition (VPR) is a fundamental task for many applications such as robot localization and augmented reality. Recently, the hierarchical VPR methods have received co…
Invisible Gas Detection: An RGB-Thermal Cross Attention Network and A New Benchmark
Jue Wang, Yuxiang Lin, Qi Zhao +4
The widespread use of various chemical gases in industrial processes necessitates effective measures to prevent their leakage during transportation and storage, given their high to…
Diffusion Model-Based Image Editing: A Survey
Yi Huang, Jiancheng Huang, Yifan Liu +7
Denoising diffusion models have emerged as a powerful tool for various image generation and editing tasks, facilitating the synthesis of visual content in an unconditional or input…
Anisotropic Neural Representation Learning for High-Quality Neural Rendering
Y. Wang, J. Xu, Y. Zeng +1
Neural radiance fields (NeRFs) have achieved impressive view synthesis results by learning an implicit volumetric representation from multi-view images. To project the implicit rep…
Vision-Based Human Pose Estimation via Deep Learning: A Survey
Gongjin Lan, Yu Wu, Fei Hu +1
Human pose estimation (HPE) has attracted a significant amount of attention from the computer vision community in the past decades. Moreover, HPE has been applied to various domain…