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Name: Darren Tsai

Type: User

Company: Greenroom Robotics

Bio: Machine Learning Engineer at @Greenroom-Robotics

Location: Sydney, Australia

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

3d_adapt_auto_driving

atlasnet

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

canonical-capsules

Canonical Capsules: Self-Supervised Capsules in Canonical Pose (NeurIPS 2021)

cylinder3d

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

darrenjkt

dine

code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"

ia-ssd

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)

kitti-dataset

Visualising LIDAR data from KITTI dataset.

kitti2bag

Convert KITTI dataset to ROS bag file the easy way!

lidar2cam

Projection of lidar pointcloud into a camera image for ROS

mmdetection

OpenMMLab Detection Toolbox and Benchmark

ms3d

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

nuscenes2bag

nuScenes dataset to rosbag format

once_benchmark

One Million Scenes for Autonomous Driving

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

pcn

Code for PCN: Point Completion Network in 3DV'18 (Oral)

pointr

[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

pytube

Pytube for downloading Youtube videos for free

rvss_workshop

see-mtda

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

see-vcn

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

sparsekd

(NeurlPS 2022) Towards Efficient 3D Object Detection with Knowledge Distillation

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

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

vcn

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

waymo-rosbag-record

tool to convert waymo open dataset to rosbag

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Hey, I'm Darren 👋

Publications 📖

Darren Tsai's Projects

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