Publications / Google Scholar / DBLP / OpenReview / Semantic Scholar / Linkedin / Github / Twitter / Facebook / Quora / Resume
Email abhinav3663[at]gmail.com, kumarab6[at]msu.edu
Mobile +1 801 635 8185
Home Address 3636 Coleman Rd, #724C, Block-36 Apartments, East Lansing, MI 48823
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.
Publications
Visit Google Scholar / DBLP for latest ones and for more details. * = Equal Contributions
Conferences
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
Abhinav Kumar, Garrick Brazil and Xiaoming Liu
CVPR 2021
pdf / supplementary / 5min talk / slides / poster / demo / arxiv / code / project
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
CVPR 2020
pdf / supplementary / 1min talk / slides / demo / arxiv / code / dataset
Scaling Up Exact Neural Network Compression by ReLU Stability
Thiago Serra, Xin Yu, Abhinav Kumar and Srikumar Ramalingam
NeurIPS 2021
pdf / talk / code / openreview
Lossless Compression of Deep Neural Networks
Thiago Serra, Abhinav Kumar and Srikumar Ramalingam
CPAIOR 2020 and ICML LXAI Workshop 2020
pdf / slides / talk / poster / code
Zero Shot License Plate Re-Identification
Mayank Gupta*, Abhinav Kumar* and Sriganesh Madhvanath
WACV 2019 (Spotlight)
pdf / slides / poster / article
Fast and Generalisable License Plate Re-Identification using Neural Embedding of Fisher Vectors
Abhinav Kumar*, Shantanu Gupta*, Vladimir Kozitksy and Sriganesh Madhvanath
ICVGIP 2018 (Short Oral)
pdf / slides / arxiv
VPDS: An AI-based Automated Vehicle Occupancy and Violation Detection System
Abhinav Kumar*, Aishwarya Gupta*, Bishal Santra*, Lalitha Srinivasan*, Manasa Kolla*, Mayank Gupta* and Rishabh Singh*
IAAI (Application conference of AAAI) 2019
pdf / slides / article / tutorial / bronchure
Workshops
UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss
Abhinav Kumar*, Tim Marks*, Wenxuan Mou*, Chen Feng and Xiaoming Liu
ICCV Workshops on Statistical Deep Learning in Computer Vision 2019
pdf / slides / poster / media / Best Oral Presentation award
Others and Arxived
Equivalent and Approximate Transformations of Deep Neural Networks
Abhinav Kumar, Thiago Serra and Srikumar Ramalingam
pdf / talk / email for the code
Parametric Synthesis of Text on Stylized Backgrounds using PGGANs
Mayank Gupta, Abhinav Kumar and Sriganesh Madhvanath
pdf / demo
Estimation of Bandlimited Grayscale Images From the Single Bit Observations of Pixels Affected by Additive Gaussian Noise
Abhinav Kumar and Animesh Kumar
pdf / slides / report
Before 2016
SmartEvacTrack: A People Counting and Coarse-level Localisation Solution for Efficient Evacuation of Large Buildings
Nasim Ahmed, Avik Ghose, Amit Agarrwal, Chirabrata Bhaumik, Vivek Chandel and Abhinav Kumar
PERCOM Workshops on Crowd Assisted Sensing, Pervasive Systems and Communications 2015
link
Technology Enabled Assessment Environment
Rohit Kondekar, Pravin Kondekar, Deepak Phatak, Avinash Awate, Mayank Singh, Alefiya Lightwalla and Abhinav Kumar
IASTED International Conference on Technology for Education 2011
link / report
Patents
GrooMeD-NMS for Monocular 3D Object Detection
Xiaoming Liu, Abhinav Kumar and Garrick Brazil
US Patent filed 2021
Image Processing System and Method for Landmark Location Estimation with Uncertainty
Tim Marks, Abhinav Kumar, Wenxuan Mou, Chen Feng and Xiaoming Liu
US 16/592,822 A1, filed 2021
link
Estimation of Direction of Motion of Users on Mobile Devices
Avik Ghose, Abhinav Kumar, Chirabrata Bhaumik and Arpan Pal
US 10,520,330 B2, granted 2019
link