1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nanjing UniversityCN486 papers
- University of Science and Technology of ChinaCN408 papers
- Tsinghua UniversityCN404 papers
- Peking UniversityCN401 papers
- Shanghai Jiao Tong UniversityCN383 papers
- Zhejiang UniversityCN380 papers
- University of Chinese Academy of SciencesCN369 papers
- Sun Yat-sen UniversityCN366 papers
- Institute of High Energy PhysicsCN364 papers
- Lanzhou UniversityCN358 papers
- Nanjing Normal UniversityCN358 papers
- Zhengzhou UniversityCN353 papers
17 papers · 2 filters
Simultaneously Recovering Multi-Person Meshes and Multi-View Cameras with Human Semantics
Buzhen Huang, Jingyi Ju, Yuan Shu +1
Dynamic multi-person mesh recovery has broad applications in sports broadcasting, virtual reality, and video games. However, current multi-view frameworks rely on a time-consuming…
GSplatLoc: Ultra-Precise Camera Localization via 3D Gaussian Splatting
Atticus J. Zeller, Haijuan Wu
We present GSplatLoc, a camera localization method that leverages the differentiable rendering capabilities of 3D Gaussian splatting for ultra-precise pose estimation. By formulati…
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…
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head
Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang +2
Traditional knowledge distillation focuses on aligning the student's predicted probabilities with both ground-truth labels and the teacher's predicted probabilities. However, the t…
Tracking by Detection and Query: An Efficient End-to-End Framework for Multi-Object Tracking
Shukun Jia, Shiyu Hu, Yichao Cao +3
Multi-object tracking (MOT) is primarily dominated by two paradigms: tracking-by-detection (TBD) and tracking-by-query (TBQ). While TBD offers modular efficiency, its fragmented as…
Kaninfradet3D:A Road-side Camera-LiDAR Fusion 3D Perception Model based on Nonlinear Feature Extraction and Intrinsic Correlation
Pei Liu, Nanfang Zheng, Yiqun Li +2
With the development of AI-assisted driving, numerous methods have emerged for ego-vehicle 3D perception tasks, but there has been limited research on roadside perception. With its…
HeightFormer: A Semantic Alignment Monocular 3D Object Detection Method from Roadside Perspective
Pei Liu, Zihao Zhang, Haipeng Liu +3
The on-board 3D object detection technology has received extensive attention as a critical technology for autonomous driving, while few studies have focused on applying roadside se…
CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition
Yifan Wang, Jie Gui, Yuan Yan Tang +1
Finger vein recognition technology has become one of the primary solutions for high-security identification systems. However, it still has information leakage problems, which serio…
Attention-Guided Multi-scale Interaction Network for Face Super-Resolution
Xujie Wan, Wenjie Li, Guangwei Gao +3
Recently, CNN and Transformer hybrid networks demonstrated excellent performance in face super-resolution (FSR) tasks. Since numerous features at different scales in hybrid network…
Sign Language Recognition Based On Facial Expression and Hand Skeleton
Zhiyu Long, Xingyou Liu, Jiaqi Qiao +1
Sign language is a visual language used by the deaf and dumb community to communicate. However, for most recognition methods based on monocular cameras, the recognition accuracy is…
SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition
Wenbo Huang, Jinghui Zhang, Xuwei Qian +3
High frame-rate (HFR) videos of action recognition improve fine-grained expression while reducing the spatio-temporal relation and motion information density. Thus, large amounts o…
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation
You-Wei Luo, Chuan-Xian Ren, Xiao-Lin Xu +1
To overcome the restriction of identical distribution assumption, invariant representation learning for unsupervised domain adaptation (UDA) has made significant advances in comput…
A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Models
Muhammad Ahmad, Salvatore Distifano, Adil Mehmood Khan +7
Hyperspectral Image Classification (HSC) presents significant challenges owing to the high dimensionality and intricate nature of Hyperspectral (HS) data. While traditional Machine…
Asphalt Concrete Characterization Using Digital Image Correlation: A Systematic Review of Best Practices, Applications, and Future Vision
Siqi Wang, Zehui Zhu, Tao Ma +1
Digital Image Correlation (DIC) is an optical technique that measures displacement and strain by tracking pattern movement in a sequence of captured images during testing. DIC has…
BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision
Xin Zhao, Shiyu Hu, Yipei Wang +8
Single object tracking (SOT) is a fundamental problem in computer vision, with a wide range of applications, including autonomous driving, augmented reality, and robot navigation.…
Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving
Lixing Xiao, Ruixiao Shi, Xiaoyang Tang +1
Previous works on object detection have achieved high accuracy in closed-set scenarios, but their performance in open-world scenarios is not satisfactory. One of the challenging op…
CCA: Collaborative Competitive Agents for Image Editing
Tiankai Hang, Shuyang Gu, Dong Chen +2
This paper presents a novel generative model, Collaborative Competitive Agents (CCA), which leverages the capabilities of multiple Large Language Models (LLMs) based agents to exec…