Ranran Huang

I am a second-year Ph.D. student at MatchLab, Imperial College London (Since April 2024), under the supervision of Professor Krystian Mikolajczyk. My Ph.D. is generously funded by the Department of EEE. I have broad interests in computer vision and machine learning, with a current focus on 3D vision.

Prior to my doctoral studies, I worked as a research engineer at Meituan and ByteDance. I received my Master’s degree from Tsinghua University, where I was supervised by Professor Wang Yu. During my Master’s studies, I also interned at Xilinx (now part of AMD) and SenseTime. I earned my Bachelor’s degree from Wuhan University.

Email  /  Google Scholar  /  Github

profile photo

Publication
No Pose at All: Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views
Ranran Huang, and Krystian Mikolajczyk
IEEE/CVF International Conference on Computer Vision (ICCV), Highlight, 2025
[Project Page] [Paper] [Code]
DRKF: Distilled Rotated Kernel Fusion for Efficient Rotation Invariant Descriptors in Local Feature Matching
Ranran Huang, Jiancheng Cai, Chao Li, Zhuoyuan Wu, Xinmin Liu, and Zhenhua Chai
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oral, 2023
[Paper]
Cross-layer Attention Network for Fine-grained Visual Categorization
Ranran Huang, Yu Wang, and Huazhong Yang
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , 2021
[Paper]
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks
Ranran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang, Yi Shan, and Yu Wang
AAAI Conference on Artificial Intelligence (AAAI), Oral, 2020
[Paper]

Competition
2nd place
Drone Satellite Matching Challenge (ACM Multimedia Workshop 2023)
[Link] [Certificate]
Winner on Object Detection Track, 2nd place on Crowd Counting Track
VisDrone Challenge, 2022
[Link]
2nd place on Video Track
IEEE Low Power Computer Vision Challenge (ICCV Workshop 2021)
[Link]
6th / 216 on Fine-grained Visual Categorization
iNaturalist Competition (CVPR Workshop 2019)
[Link]

Teaching
  • Deep Learning (ELEC60009), TA, 2025
  • Computer Vision and Pattern Recognition (ELEC70073), TA, 2025

    • Academic Services
  • Conference Reviewer: NeurIPS, ICLR, ICML, ICCV, AAAI.


    • Thanks to Jon Barron for sharing the source code of his site.