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Abhinav Kumar 0004
Person information
- unicode name: अभिनव कुमार
- affiliation: Michigan State University, Computer Vision Lab, East Lansing, MI, USA
- affiliation (former): University of Utah, Salt Lake City, UT, USA
- affiliation (former): Xerox Research Centre India, Bangalore, India
- affiliation (former): Indian Institute of Technology (IIT) Bombay, India
- affiliation (former): Indian Institute of Technology (IIT) Patna India
Other persons with the same name
- Abhinav Kumar — disambiguation page
- Abhinav Kumar 0001 — Indian Institute of Technology Hyderabad, Department of Electrical Engineering, India
- Abhinav Kumar 0002 — University of Illinois at Chicago, IL, USA
- Abhinav Kumar 0003 — Indian Institute of Technology (BHU), Varanasi, Uttar, India
- Abhinav Kumar 0005 — Motilal Nehru National Institute of Technology Prayagraj, Department of Computer Science and Engineering, Prayagraj, India (and 3 more)
- Abhinav Kumar 0006 — Stony Brook University, Stony Brook, NY, USA (and 2 more)
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Journal Articles
- 2022
- [j1]Quynh C. Nguyen, Thomas W. Belnap, Pallavi Dwivedi, Amir Hossein Nazem Deligani, Abhinav Kumar, Dapeng Li, Ross T. Whitaker, Jessica M. Keralis, Heran Mane, Xiaohe Yue, Thu T. Nguyen, Tolga Tasdizen, Kim D. Brunisholz:
Google Street View Images as Predictors of Patient Health Outcomes, 2017-2019. Big Data Cogn. Comput. 6(1): 15 (2022)
Conference and Workshop Papers
- 2024
- [c16]Abhinav Kumar, Yuliang Guo, Xinyu Huang, Liu Ren, Xiaoming Liu:
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects. CVPR 2024: 10269-10280 - [c15]Shengjie Zhu, Girish Chandar Ganesan, Abhinav Kumar, Xiaoming Liu:
RePLAy: Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry. ECCV (81) 2024: 393-411 - 2023
- [c14]Yunfei Long, Abhinav Kumar, Daniel D. Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty:
RADIANT: Radar-Image Association Network for 3D Object Detection. AAAI 2023: 1808-1816 - [c13]Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari:
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. CVPR 2023: 13154-13164 - [c12]Vishal Asnani, Abhinav Kumar, Suya You, Xiaoming Liu:
PrObeD: Proactive Object Detection Wrapper. NeurIPS 2023 - [c11]Shengjie Zhu, Abhinav Kumar, Masa Hu, Xiaoming Liu:
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration. NeurIPS 2023 - 2022
- [c10]Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, Xiaoming Liu:
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection. ECCV (9) 2022: 664-683 - 2021
- [c9]Abhinav Kumar, Garrick Brazil, Xiaoming Liu:
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection. CVPR 2021: 8973-8983 - [c8]Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam:
Scaling Up Exact Neural Network Compression by ReLU Stability. NeurIPS 2021: 27081-27093 - 2020
- [c7]Thiago Serra, Abhinav Kumar, Srikumar Ramalingam:
Lossless Compression of Deep Neural Networks. CPAIOR 2020: 417-430 - [c6]Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng:
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood. CVPR 2020: 8233-8243 - 2019
- [c5]Abhinav Kumar, Aishwarya Gupta, Bishal Santra, K. S. Lalitha, Manasa Kolla, Mayank Gupta, Rishabh Singh:
VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System. AAAI 2019: 9498-9503 - [c4]Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Chen Feng, Xiaoming Liu:
UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss. ICCV Workshops 2019: 778-782 - [c3]Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath:
Zero Shot License Plate Re-Identification. WACV 2019: 773-781 - 2018
- [c2]Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky, Sriganesh Madhvanath:
Fast and Generalisable License Plate Re-identification using Neural Embedding of Fisher Vectors. ICVGIP 2018: 49:1-49:9 - 2015
- [c1]Nasimuddin Ahmed, Avik Ghose, Amit K. Agrawal, Chirabrata Bhaumik, Vivek Chandel, Abhinav Kumar:
SmartEvacTrak: A people counting and coarse-level localization solution for efficient evacuation of large buildings. PerCom Workshops 2015: 372-377
Informal and Other Publications
- 2024
- [i14]Yuliang Guo, Abhinav Kumar, Cheng Zhao, Ruoyu Wang, Xinyu Huang, Liu Ren:
UPNeRF: A Unified Framework for Monocular 3D Object Reconstruction and Pose Estimation. CoRR abs/2403.15705 (2024) - [i13]Abhinav Kumar, Yuliang Guo, Xinyu Huang, Liu Ren, Xiaoming Liu:
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects. CoRR abs/2403.20318 (2024) - 2023
- [i12]Shengjie Zhu, Abhinav Kumar, Masa Hu, Xiaoming Liu:
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration. CoRR abs/2306.10988 (2023) - [i11]Vishal Asnani, Abhinav Kumar, Suya You, Xiaoming Liu:
PrObeD: Proactive Object Detection Wrapper. CoRR abs/2310.18788 (2023) - 2022
- [i10]Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari:
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. CoRR abs/2207.10660 (2022) - [i9]Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, Xiaoming Liu:
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection. CoRR abs/2207.10758 (2022) - 2021
- [i8]Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam:
Scaling Up Exact Neural Network Compression by ReLU Stability. CoRR abs/2102.07804 (2021) - [i7]Abhinav Kumar, Garrick Brazil, Xiaoming Liu:
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection. CoRR abs/2103.17202 (2021) - 2020
- [i6]Thiago Serra, Abhinav Kumar, Srikumar Ramalingam:
Lossless Compression of Deep Neural Networks. CoRR abs/2001.00218 (2020) - [i5]Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael J. Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng:
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood. CoRR abs/2004.02980 (2020) - 2019
- [i4]Abhinav Kumar, Thiago Serra, Srikumar Ramalingam:
Equivalent and Approximate Transformations of Deep Neural Networks. CoRR abs/1905.11428 (2019) - 2018
- [i3]Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath:
Parametric Synthesis of Text on Stylized Backgrounds using PGGANs. CoRR abs/1809.08488 (2018) - 2017
- [i2]Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky, Sriganesh Madhvanath:
Neural Signatures for Licence Plate Re-identification. CoRR abs/1712.00282 (2017) - 2016
- [i1]Abhinav Kumar, Animesh Kumar:
Estimation of Bandlimited Grayscale Images From the Single Bit Observations of Pixels Affected by Additive Gaussian Noise. CoRR abs/1610.08627 (2016)
Coauthor Index
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