Lab Members
PhD Students
Visiting Students / Data Science Capstone / Placement Supervision
Jacques Serfontein, Optimising Lithium Refinery Filtration with Machine Learning, Feb ‘24 – July ‘24 |
Junjie Meng, Ziniu Zhang, Test-time Domain Adaptation for 3D Object Detection, Aug ‘23 – Nov ‘23 |
Yuxia Fu, Zhuo Cao, Dataset Distillation for Object Detection, Feb ‘23 – Nov ‘23 |
Lab Notes
Conference Memo
🥐 ICCV 2023 (Yadan) - covering tutorials, posters on generalization & 3D vision |
🏰 ICLR 2024 (Yadan) - covering generalizaton & adaptation |
Lab News
2024
[Oct ‘24] 🥇 The second place in the Sweet Peppers Multi-Object Tracking Challenge, Jia Syuen Lim, Yadan Luo, Zhi Chen, Tianqi Wei, Scott Chapman, and Zi Huang, Track Any Peppers: Weakly Supervised Sweet Pepper Tracking Using VLMs, 📝[Paper Link], 🛠️[Github], 9th Workshop on Computer Vision in Plant Phenotyping and Agriculture (CVPPA), held at ECCV 2024.
[Oct ‘24] 2 papers accepted by NeurIPS 2024
-
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection. Jia Syuen Lim, Zhuoxiao Chen, Mahsa Baktashmotlagh, Zhi Chen, Xin Yu, Zi Huang, Yadan Luo. 📝Paper Link, 🛠️[Github]
-
Color-Oriented Redundancy Reduction in Dataset Distillation. Bowen Yuan, Zijian Wang, Mahsa Baktashmotlagh, Yadan Luo, Zi Huang 📝[Paper Link], 🛠️[Github]
[Jul ‘24] 1 paper accepted by MM 2024
- DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection. Zhuoxiao Chen, Zixin Wang, Yadan Luo, Sen Wang, Zi Huang 📝Paper Link, 🛠️Github
[Jul ‘24] 1 paper accepted by ECCV 2024
- Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments. Djamahl Etchegaray, Zi Huang, Tatsuya Harada, Yadan Luo. 📝Paper Link, 🛠️Github
[Jul ‘24] 1 paper accepted by IJCV 2024
- In Search of Lost Online Test-time Adaptation: A Survey. Zixin Wang, Yadan Luo, Liang Zheng, Zhuoxiao Chen, Sen Wang, Zi Huang 📝Paper Link, 🛠️Github
2023
[Nov ‘23] 🥇 Best Student Paper Award, Zixin Wang, Yadan Luo, Zhi Chen, Sen Wang, Zi Huang, Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error, 📝Paper Link, 🛠️Github, ACM Multimedia 2023.
[Nov ‘23] 🏆 Best Demo Award, Djamahl Etchegaray, Yadan Luo, Zachary FitzChance, Anthony Southon, Jinjiang Zhong, Open-RoadAtlas: Leveraging VLMs for Road Condition Survey with Real-Time Mobile Auditing, ACM Multimedia 2023.