研究领域

计算机视觉、深度学习、多模态学习

个人简介

卢锋，博士毕业于清华大学计算机科学与技术专业，现任深圳理工大学助理教授。主要研究方向包括视觉重定位、视觉地点识别、大模型参数高效微调等，已发表论文20余篇，其中以第一作者在T-PAMI、CVPR、ICLR、NeurIPS等人工智能领域顶级期刊/会议发表论文8篇。提出的SelaVPR++工作在MSLS地点识别挑战赛排行榜排名第一。担任IJCV、IEEE T-RO、NeurIPS、ICLR、CVPR、ICCV、AAAI等十余个顶级期刊/会议的审稿人。

学习经历

2015.09 - 2019.07，中南大学，智能科学与技术，学士
2019.09 - 2022.07，中国科学院大学，计算机应用技术，硕士
2022.09 - 2025.12，清华大学，计算机科学与技术，博士

工作经历

2026-至今，深圳理工大学

所获荣誉

博士生国家奖学金（2024）
鹏城国家实验室主任奖学金（2025）

代表性文章

[1] Feng Lu∗, Tong Jin∗, Xiangyuan Lan, Lijun Zhang, Yunpeng Liu, Yaowei Wang, Chun Yuan. SelaVPR++: Towards Seamless Adaptation of Foundation Models for Efficient Place Recognition. IEEE T-PAMI 2025 (CCF-A).
[2] Feng Lu∗, Tong Jin∗, Canming Ye, Xiangyuan Lan, Yunpeng Liu, Chun Yuan. Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era. NeurIPS 2025 (CCF-A).
[3] Feng Lu, Xiangyuan Lan, Lijun Zhang, Dongmei Jiang, Yaowei Wang, Chun Yuan. CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition. CVPR 2024 (CCF-A).
[4] Feng Lu, Lijun Zhang, Xiangyuan Lan, Shuting Dong, Yaowei Wang, Chun Yuan. Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition. ICLR 2024 (清华计算机A类).
[5] Feng Lu∗, Xinyao Zhang∗, Canming Ye∗, Shuting Dong, Lijun Zhang, Xiangyuan Lan, Chun Yuan. SuperVLAD: Compact and Robust Image Descriptors for Visual Place Recognition. NeurIPS 2024 (CCF-A).
[6] Feng Lu, Shuting Dong, Lijun Zhang, Bingxi Liu, Xiangyuan Lan, Dongmei Jiang, Chun Yuan. Deep Homography Estimation for Visual Place Recognition. AAAI 2024 (CCF-A).
[7] Feng Lu, Lijun Zhang, Shuting Dong, Baifan Chen, Chun Yuan. AANet: Aggregation and Alignment Network with Semi-hard Positive Sample Mining for Hierarchical Place Recognition. ICRA 2023 (清华计算机A类).
[8] Feng Lu, Baifan Chen, Xiang-Dong Zhou, Dezhen Song. STA-VPR: Spatio-temporal Alignment for Visual Place Recognition. IEEE RA-L 2021, and also presented at ICRA 2021 (清华计算机A类).