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Email abhinav3663[at]gmail.com
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Address Sunnyvale, CA, USA 94086
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Welcome! My name is Abhinav Kumar. I am a Senior Researcher in the Vision Intelligence team at Samsung Research America (SRA), Mountain View, working on 3D Computer Vision. I got my PhD on Generalizing Monocular 3D Detection [slides] in the Computer Vision Lab, Department of Computer Science at Michigan State University (MSU), where I was extremely fortunate to work with Prof Xiaoming Liu.
My past research internships were at
- Facebook AI Research (FAIR), Menlo Park, CA, with Dr Georgia Gkioxari and Dr Garrick Brazil,
- Bosch AI Research, Sunnyvale, CA, with Dr Yuliang Guo and Dr Liu Ren, and
- Mitsubishi Electric Research Labs (MERL), Cambridge, MA, with Dr Tim Marks, Dr Michael Jones, and Dr Anoop Cherian.
During 2016-2018, I was a Research Engineer at Xerox Research Centre India, Bangalore, with Dr Sriganesh Madhvanath and Vladimir Kozitksy. I hold a Masters in Signal Processing and Bachelors in Electrical Engineering from Indian Institute of Technology (IIT) Bombay and IIT Patna, respectively. My Masters advisor was Prof Animesh Kumar. I attended Jawahar Vidya Mandir, Shyamali, Ranchi and MK DAV Public School, Chianki, Daltonganj.
Publications
Publications
Google Scholar / Semantic Scholar / DBLP / OpenReview
* = Equal Contributions
Selected Papers
Selected Papers
CVPR / ECCV / ICCV / ICLR / ICML / NeurIPS are among top 7 conferences in all computer science [Source].
Towards Learning High-Frequency Details for 3D Gaussian Splatting
Towards Learning High-Frequency Details for 3D Gaussian Splatting
Abhinav Kumar, Tristan Armstrong*, Lazar Valkov*, Gopal Sharma, Alex Levinshtein, Radek Grezcruck and Suren Kumar
pdf / arxiv / code (Coming soon)
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Object Detection of Large Objects
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Object Detection of Large Objects
Abhinav Kumar, Yuliang Guo, Xinyu Huang, Liu Ren and Xiaoming Liu
CVPR 2024
pdf / supplementary / 5min talk / slides / poster / demo / arxiv / code / project
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson and Georgia Gkioxari
CVPR 2023
pdf / supplementary / 5min talk / slides / poster / demo / arxiv / code / project
DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami and Xiaoming Liu
ECCV 2022
pdf / supplementary / 5min talk / slides / poster / demo / arxiv / code / project
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
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
Other Papers
Other Papers
CHARM3R: Towards Unseen Camera Height Robust Monocular 3D Detector
CHARM3R: Towards Unseen Camera Height Robust Monocular 3D Detector
Abhinav Kumar, Yuliang Guo, Zhihao Zhang, Xinyu Huang, Liu Ren and Xiaoming Liu
ICCV 2025
pdf / supplementary / 5min talk / slides / poster / arxiv / code
RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object Detection
RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object Detection
Yunfei Long, Abhinav Kumar, Xiaoming Liu, and Daniel Morris
CVPR 2025
pdf / code
SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction
SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction
Yuliang Guo, Abhinav Kumar, Chen Zhao, Ruoyu Wang, Xinyu Huang, and Liu Ren
ECCV 2024
pdf / poster / 5min talk / demo / arxiv / code / project
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
Shengjie Zhu, Abhinav Kumar, Masa Hu and Xiaoming Liu
NeurIPS 2023
pdf / poster / demo / arxiv / code / openreview
PrObeD: Proactive 2D Object Detection Wrapper
PrObeD: Proactive 2D Object Detection Wrapper
Vishal Asnani, Abhinav Kumar, Sua You and Xiaoming Liu
NeurIPS 2023
pdf / arxiv / code / openreview
RADIANT: RADar Image Association NeTwork for 3D Object Detection
RADIANT: RADar Image Association NeTwork for 3D Object Detection
Yunfei Long, Abhinav Kumar, Daniel Morris, Xiaoming Liu, Marcos Castro and Punarjay Chakravarty
AAAI 2023
pdf / code / slides / poster
Scaling Up Exact Neural Network Compression by ReLU Stability
Scaling Up Exact Neural Network Compression by ReLU Stability
Thiago Serra, Xin Yu, Abhinav Kumar and Srikumar Ramalingam
NeurIPS 2021
pdf / supplementary / talk / arxiv / code / openreview
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
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
Lossless Compression of Deep Neural Networks
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
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
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
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 and Arxived
Workshops and Arxived
UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss
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
Equivalent and Approximate Transformations of Deep Neural Networks
Equivalent and Approximate Transformations of Deep Neural Networks
Abhinav Kumar, Thiago Serra and Srikumar Ramalingam
pdf / talk / code
Parametric Synthesis of Text on Stylized Backgrounds using PGGANs
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
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
SmartEvacTrack: A People Counting and Coarse-level Localisation Solution for Efficient Evacuation of Large Buildings
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
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
Patents
GrooMeD-NMS for Monocular 3D Object Detection
GrooMeD-NMS for Monocular 3D Object Detection
Xiaoming Liu, Abhinav Kumar and Garrick Brazil
US Patent filed 2021
link
Image Processing System and Method for Landmark Location Estimation with Uncertainty
Image Processing System and Method for Landmark Location Estimation with Uncertainty
Tim Marks, Abhinav Kumar, Wenxuan Mou, Chen Feng and Xiaoming Liu
US 11,127,164 B2, granted 2021
link
Estimation of Direction of Motion of Users on Mobile Devices
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
Tutorials
Tutorials
Edit requests/additions/corrections are welcome.
Service+Teaching
Service+Teaching
Computer Vision
Machine Learning
NLP
ACL 2024
Others
Outstanding reviewer award (top 10%) at NeurIPS 2023
Teaching Assistant
Teaching Assistant
Digital Image Processing, Prof Tolga Tasdizen, University of Utah, Fall 2019
Foundations of Wavelets and Multirate Digital Signal Processing, Prof Vikram Gadre, Centre for Distance Engineering Education Program (CDEEP), National Programme on Technology Enhanced Learning (NPTEL), Spring 2016
Massive Open Online Course (MOOC) attended by over 1150 participants in India.
[link]
Control and Communications, Prof Animesh Kumar, Department of Electrical Engineering, IIT Bombay, Spring 2015
[link]
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