Jian Ma

I am a Research Asistance (Postdoc) in Prof. Kun Li group. My research interests include egocentric action recognition, 3D human reconstruction.

Email  /  Google Scholar  /  Github

Educations and Working Experiences

I completed my Ph.D. journey at University of Bristol under the supervision of Prof. Dima Damen and I achieved my master degree in computer science at the College of Intelligence and Computing at Tian University from 2016 - 2019, supervised by Prof. Kun Li. Additionally, I did internships at Baidu and OPPO Research Institute, under the supervision of Dr. Yandong Guo.

Publications
Epic-kitchens visor benchmark: Video segmentations and object relations
Jian Ma*, Ahmad Darkhalil*, Dandan Shan*, Bin Zhu*, Amlan Kar, Richard Higgins, Sanja Fidler, David Fouhey, Dima Damen
Advances in Neural Information Processing Systems, 2022

Hand-object interaction reasoning
Jian Ma, Dima Damen
IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2022

Rescaling Egocentric Vision
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Evangelos Kazakos, Jian Ma,
Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray
International Journal of Computer Vision (IJCV), 2021
project page

Discern Depth Under Foul Weather: Estimate PM2.5 for Depth Inference
Kun Li, Jian Ma, Han Li, Yahong Han, Xibin Yue, Zihao Chen, and Jingyu Yang
IEEE Transactions on Industrial Informatics, 2020
project page

Spatiotemporally scalable matrix recovery for background modeling and moving object detection
Jingyu Yang, Wen Shi, Huanjing Yue, Kun Li, Jian Ma, Chunping Hou
Signal Processing, 2020

Image-based Air Pollution Estimation Using Hybrid Convolutional Neural Network
Jian Ma, Kun Li, Yahong Han, Jingyu Yang
International Conference on Pattern Recognition (ICPR), 2018

Image-Based PM2.5 Estimation and its Application on Depth Estimation
Jian Ma, Kun Li, Yahong Han, Pufeng Du, Jingyu Yang
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018


Powered by Jon Barron