Welcome! My name is Abhinav Kumar, and I am a PhD student in the Computer Vision Lab, Department of Computer Science at Michigan State University (MSU), working with Prof Xiaoming Liu. I transferred from the School of Computing, University of Utah. My research interests are applying Computer Vision and Mathematical Modelling to 3D Object Detection.
I am currently interning in the Computer Vision group at Facebook AI Research (FAIR), Menlo Park, CA, with Dr Georgia Gkioxari and Dr Garrick Brazil on 3D Object Detection. I spent Summer 2019 in the Computer Vision group at Mitsubishi Electric Research Labs (MERL), Cambridge, MA, working with Dr Tim Marks, Dr Michael Jones, and Dr Anoop Cherian on uncertainty and visibility estimation using deep neural networks.
During 2016-2018, I worked as a Research Engineer in Computer Vision group at Xerox Research Centre India/Conduent Labs India, Bangalore, with Dr Sriganesh Madhvanath and Vladimir Kozitksy on large scale Image Re-Identification of License Plates (LPR) and Dr Manasa Kolla on Imbalanced Classification for Vehicle Passenger Detection System (VPDS). Xerox/Conduent deploy my works on LPR and VPDS and use them in real life.
In my previous life, I was a Signal Processing and Communications Masters student guided by Prof Animesh Kumar in the Electrical Engineering department at Indian Institute of Technology Bombay (IIT Bombay) and a Bachelors student in the Electrical Engineering department at Indian Institute of Technology Patna (IIT Patna). I attended MK DAV Public School, Chianki, Daltonganj till 2007 and Jawahar Vidya Mandir, Shyamali, Ranchi for +2.
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
Abhinav Kumar*, Tim Marks*, Wenxuan Mou*, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu and Chen Feng
pdf / supplementary / 1min talk / slides / demo / arxiv / code / dataset