Abhinav Kumar

According to our database, Abhinav Kumar authored at least 19 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Tame a Wild Camera: In-the-Wild Monocular Camera Calibration.

Shengjie Zhu, Abhinav Kumar, Masa Hu, Xiaoming Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PrObeD: Proactive Object Detection Wrapper.

Vishal Asnani, Abhinav Kumar, Suya You, Xiaoming Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild.

Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RADIANT: Radar-Image Association Network for 3D Object Detection.

Yunfei Long, Abhinav Kumar, Daniel D. Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Google Street View Images as Predictors of Patient Health Outcomes, 2017-2019.

Quynh C. Nguyen, Thomas W. Belnap, Pallavi Dwivedi, Amir Hossein Nazem Deligani, Abhinav Kumar, Dapeng Li, Ross T. Whitaker, Jessica Keralis, Heran Mane, Xiaohe Yue, Thu T. Nguyen, Tolga Tasdizen, Kim D. Brunisholz

Big Data Cogn. Comput., 2022

DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection.

Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, Xiaoming Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Scaling Up Exact Neural Network Compression by ReLU Stability.

Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection.

Abhinav Kumar, Garrick Brazil, Xiaoming Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood.

Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Lossless Compression of Deep Neural Networks.

Thiago Serra, Abhinav Kumar, Srikumar Ramalingam

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2020

2019

Equivalent and Approximate Transformations of Deep Neural Networks.

Abhinav Kumar, Thiago Serra, Srikumar Ramalingam

CoRR, 2019

Zero Shot License Plate Re-Identification.

Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss.

Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Chen Feng, Xiaoming Liu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System.

Abhinav Kumar, Aishwarya Gupta, Bishal Santra, K. S. Lalitha, Manasa Kolla, Mayank Gupta, Rishabh Singh

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Parametric Synthesis of Text on Stylized Backgrounds using PGGANs.

Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath

CoRR, 2018

Fast and Generalisable License Plate Re-identification using Neural Embedding of Fisher Vectors.

Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky, Sriganesh Madhvanath

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

2017

Neural Signatures for Licence Plate Re-identification.

Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky, Sriganesh Madhvanath

CoRR, 2017

2016

Estimation of Bandlimited Grayscale Images From the Single Bit Observations of Pixels Affected by Additive Gaussian Noise.

Abhinav Kumar, Animesh Kumar

CoRR, 2016

2015

SmartEvacTrak: A people counting and coarse-level localization solution for efficient evacuation of large buildings.

Nasimuddin Ahmed, Avik Ghose, Amit K. Agrawal, Chirabrata Bhaumik, Vivek Chandel, Abhinav Kumar

Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015