Welcome
I am Hao Liu, a Machine Learning Engineer specialized in Computer Vision at Navya since March 2019. After graduated with a master degree in Machine Learning from Université Paris-Saclay, I have spent four years in the industry to work on computer vision problems applied in autonomous driving. My interests are in Object detection, Semantic segmentation, Multi-object tracking, State estimation, Sensor fusion, Simultaneous localization and mapping.
Table of Contents
Recent Work
• 3D liDAR tracking and Camera-LiDAR sensor fusion.
Navya, 2023
• 2D Multi-Object-Tracking in camera.
Navya, 2022
• Traffic light detection and state recognition.
Navya, 2022
• Navya Camera Perception Dataset Creation (NODA).
Navya, 2021
• Real-Time Multi-Task Learning for Autonomous Driving.
Navya, 2019 [slides]
• Mars Crater Detection and Classification.
Paris-Saclay Center for Data Science, 2018 [slides]
• Recognition of Natural Landscape Images.
Project report, 2018 [pdf]
Publication and Technical Reviews
• 3D Object Tracking & Fusion SOTA review.
SOTA algorithm review, 2022 [slides]
• Introduction to Multi-Object Tracking.
Technical presentation, 2022 [slides]
• Monocular 3D Object Detection using Data Augmentation and Self-Supervised Learning in Autonomous
Driving.
Journal of Electronic Imaging, 2022 [pdf]
• Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes.
ICCV Workshop, 2021 [pdf]
• Real-Time Multi-Task Learning for Autonomous Driving.
Master's Thesis, 2019 [pdf]
• Review of Explicit Inductive Bias for Transfer Learning with Convolutional Networks.
Paper review, 2019 [pdf]
Contact
Machine Learning Engineer