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Hey, I'm Darren 👋

I am a computer vision and robotics engineer currently working on making boats autonomous on Australian waters through marine vessel and mammal detection 🚢 🐳 🌊

My PhD focused on 3D perception in autonomous vehicles with a focus on unsupervised domain adaptation to allow detectors to generalize across a variety of lidar types and environments without needing human-annotated labels for each new domain.

Publications 📖

  • MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaption in 3D Object Detection [paper][code]
  • (ITSC 2023) MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection [paper][code]
  • (ICRA 2023) Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection [paper][code]
  • (RA-L 2022) See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation [paper][code]
  • (ITSC 2021) Optimising the selection of samples for robust lidar camera calibration [paper][code]

Darren Tsai's Projects

kitti2bag icon kitti2bag

Convert KITTI dataset to ROS bag file the easy way!

lidar2cam icon lidar2cam

Projection of lidar pointcloud into a camera image for ROS

ms3d icon ms3d

Auto-labeling of point cloud sequences for 3D object detection using an ensemble of experts and temporal refinement

pytube icon pytube

Pytube for downloading Youtube videos for free

see-mtda icon see-mtda

(RA-L 2022) See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation.

see-vcn icon see-vcn

(ICRA 2023) Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection

st3d icon st3d

(CVPR 2021 & T-PAMI 2022) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection & ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection

travel icon travel

Pointcloud Ground Segmentation: python binding of url-kaist/TRAVEL

vcn icon vcn

Viewer-centered Completion Network (VCN). Pose estimation and completion of objects from the sensor's frame of reference

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