180 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN26 papers
- Centre for Quantum TechnologiesSG7 papers
- Nankai UniversityCN6 papers
- National University of SingaporeSG6 papers
- University of Science and Technology of ChinaCN5 papers
- Southern University of Science and TechnologyCN4 papers
- Tsinghua UniversityCN4 papers
- University of Electronic Science and Technology of ChinaCN4 papers
- Western UniversityCA4 papers
- CAS Key Laboratory of Quantum Information, USTCCN3 papers
- Hunan Normal UniversityCN2 papers
- Institute of Theoretical PhysicsCN2 papers
5 papers · 1 filter
SelaVPR++: Towards Seamless Adaptation of Foundation Models for Efficient Place Recognition
Feng Lu, Tong Jin, Xiangyuan Lan +4
Recent studies show that the visual place recognition (VPR) method using pre-trained visual foundation models can achieve promising performance. In our previous work, we propose a…
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…
STA-VPR: Spatio-temporal Alignment for Visual Place Recognition
Feng Lu, Baifan Chen, Xiang-Dong Zhou +1
Recently, the methods based on Convolutional Neural Networks (CNNs) have gained popularity in the field of visual place recognition (VPR). In particular, the features from the midd…
Micro-Attention for Micro-Expression recognition
Chongyang Wang, Min Peng, Tao Bi +1
Micro-expression, for its high objectivity in emotion detection, has emerged to be a promising modality in affective computing. Recently, deep learning methods have been successful…
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
Yao Feng, Fan Wu, Xiaohu Shao +2
We propose a straightforward method that simultaneously reconstructs the 3D facial structure and provides dense alignment. To achieve this, we design a 2D representation called UV…