Abhinav Kumar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

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Publications

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 (2024)
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 (2024)
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)
Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, Xiaoming Liu
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection. ECCV (9) (2022)
Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, Xiaoming Liu
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection. CoRR (2022)
Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam
Scaling Up Exact Neural Network Compression by ReLU Stability. NeurIPS (2021)
Abhinav Kumar, Garrick Brazil, Xiaoming Liu
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection. CoRR (2021)
Thiago Serra, Abhinav Kumar, Srikumar Ramalingam
Scaling Up Exact Neural Network Compression by ReLU Stability. CoRR (2021)
Abhinav Kumar, Garrick Brazil, Xiaoming Liu
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection. CVPR (2021)
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)
Thiago Serra, Abhinav Kumar, Srikumar Ramalingam
Lossless Compression of Deep Neural Networks. CoRR (2020)
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 (2020)
Thiago Serra, Abhinav Kumar, Srikumar Ramalingam
Lossless Compression of Deep Neural Networks. CPAIOR (2020)
Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Chen Feng, Xiaoming Liu
UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss. ICCV Workshops (2019)
Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath
Zero Shot License Plate Re-Identification. WACV (2019)
Abhinav Kumar, Thiago Serra, Srikumar Ramalingam
Equivalent and Approximate Transformations of Deep Neural Networks. CoRR (2019)
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)
Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath
Parametric Synthesis of Text on Stylized Backgrounds using PGGANs. CoRR (2018)
Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky, Sriganesh Madhvanath
Fast and Generalisable License Plate Re-identification using Neural Embedding of Fisher Vectors. ICVGIP (2018)
Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky, Sriganesh Madhvanath
Neural Signatures for Licence Plate Re-identification. CoRR (2017)
Abhinav Kumar, Animesh Kumar
Estimation of Bandlimited Grayscale Images From the Single Bit Observations of Pixels Affected by Additive Gaussian Noise. CoRR (2016)
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)