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

[Jul ‘24] 1 paper accepted by MM 2024

[Jul ‘24] 1 paper accepted by ECCV 2024

[Jul ‘24] 1 paper accepted by IJCV 2024

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.