Pak Hung Chan

Orcid: 0000-0003-1705-5430

According to our database1, Pak Hung Chan authored at least 12 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Raw Camera Data Object Detectors: An Optimisation for Automotive Video Processing and Transmission.
IEEE Access, 2025

Automotive DNN-Based Object Detection in the Presence of Lens Obstruction and Video Compression.
IEEE Access, 2025

Compressing Noisy Bayer Images: Impact on Object Detection in Automotive.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2025

Validating Camera Sensor Models for Virtual Testing of Vision Systems in Automated Driving.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2025

2024
REHEARSE: adveRse wEatHEr datAset for sensoRy noiSe modEls.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Influence of AVC and HEVC compression on detection of vehicles through Faster R-CNN.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Darwick: A Paired Dataset in Low-Light Driving Scenarios for Advanced Perceptual Enhancement and Benchmarking Assessment.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Parametric Physics-Based Snow Model for Automotive Cameras.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024

2023
Semantic-Aware Video Compression for Automotive Cameras.
IEEE Trans. Intell. Veh., June, 2023

Enhanced Object Detection by Integrating Camera Parameters into Raw Image-Based Faster R-CNN.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
A Two-stage H.264 based Video Compression Method for Automotive Cameras.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

2021
The data conundrum: compression of automotive imaging data and deep neural network based perception.
Proceedings of the London Imaging Meeting 2021: Imaging for Deep Learning, 2021


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