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 004 (PerCom Workshops, 2015)

Estimation of Bandlimited Grayscale Images From the Single Bit Observations of Pixels Affected by Additive Gaussian Noise. - Abhinav Kumar 004; Animesh Kumar (CoRR, 2016)

Neural Signatures for Licence Plate Re-identification. - Abhinav Kumar 004; Shantanu Gupta; Vladimir Kozitsky; Sriganesh Madhvanath (CoRR, 2017)

Fast and Generalisable License Plate Re-identification using Neural Embedding of Fisher Vectors. - Abhinav Kumar 004; Shantanu Gupta; Vladimir Kozitsky; Sriganesh Madhvanath (ICVGIP, 2018)

Parametric Synthesis of Text on Stylized Backgrounds using PGGANs. - Mayank Gupta 002; Abhinav Kumar 004; Sriganesh Madhvanath (CoRR, 2018)

VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System. - Abhinav Kumar 004; Aishwarya Gupta 001; Bishal Santra; K. S. Lalitha; Manasa Kolla; Mayank Gupta 002; Rishabh Singh (AAAI, 2019)

UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss. - Abhinav Kumar 004; Tim K. Marks; Wenxuan Mou; Chen Feng 002; Xiaoming Liu 002 (ICCV Workshops, 2019)

Zero Shot License Plate Re-Identification. - Mayank Gupta 002; Abhinav Kumar 004; Sriganesh Madhvanath (WACV, 2019)

Equivalent and Approximate Transformations of Deep Neural Networks. - Abhinav Kumar 004; Thiago Serra; Srikumar Ramalingam (CoRR, 2019)

Lossless Compression of Deep Neural Networks. - Thiago Serra; Abhinav Kumar 004; Srikumar Ramalingam (CPAIOR, 2020)

LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood. - Abhinav Kumar 004; Tim K. Marks; Wenxuan Mou; Ye Wang 001; Michael Jones 002; Anoop Cherian; Toshiaki Koike-Akino; Xiaoming Liu 002; Chen Feng 002 (CVPR, 2020)

GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection. - Abhinav Kumar 004; Garrick Brazil; Xiaoming Liu 002 (CVPR, 2021)

Scaling Up Exact Neural Network Compression by ReLU Stability. - Thiago Serra; Xin Yu 003; Abhinav Kumar 004; Srikumar Ramalingam (NeurIPS, 2021)

DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection. - Abhinav Kumar 004; Garrick Brazil; Enrique Corona; Armin Parchami; Xiaoming Liu 002 (ECCV (9), 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 004; Dapeng Li 002; Ross T. Whitaker; Jessica M. Keralis; Heran Mane; Xiaohe Yue; Thu T. Nguyen; Tolga Tasdizen; et al. (Big Data Cogn. Comput., 2022)

RADIANT: Radar-Image Association Network for 3D Object Detection. - Yunfei Long; Abhinav Kumar 004; Daniel D. Morris; Xiaoming Liu 002; Marcos Castro; Punarjay Chakravarty (AAAI, 2023)

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. - Garrick Brazil; Abhinav Kumar 004; Julian Straub; Nikhila Ravi; Justin Johnson 001; Georgia Gkioxari (CVPR, 2023)

PrObeD: Proactive Object Detection Wrapper. - Vishal Asnani; Abhinav Kumar 004; Suya You; Xiaoming Liu 002 (NeurIPS, 2023)

Tame a Wild Camera: In-the-Wild Monocular Camera Calibration. - Shengjie Zhu; Abhinav Kumar 004; Masa Hu; Xiaoming Liu 002 (NeurIPS, 2023)

SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects. - Abhinav Kumar 004; Yuliang Guo; Xinyu Huang 001; Liu Ren; Xiaoming Liu 002 (CVPR, 2024)

SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction. - Yuliang Guo; Abhinav Kumar 004; Cheng Zhao 002; Ruoyu Wang; Xinyu Huang 001; Liu Ren (ECCV (69), 2024)

RePLAy: Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry. - Shengjie Zhu; Girish Chandar Ganesan; Abhinav Kumar 004; Xiaoming Liu 002 (ECCV (81), 2024)

UPNeRF: A Unified Framework for Monocular 3D Object Reconstruction and Pose Estimation. - Yuliang Guo; Abhinav Kumar 004; Cheng Zhao 002; Ruoyu Wang; Xinyu Huang 001; Liu Ren (CoRR, 2024)

LUVLi Pre-trained Model. - Abhinav Kumar 004; Tim K. Marks; Xenxuan Mou; Ye Wang 001; Michael J. Jones 001; Anoop Cherian; Toshiaki Koike-Akino; Xiaoming Liu 002; Chen Feng 002 (Zenodo, 2024)

RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object Detection. - Yunfei Long; Abhinav Kumar 004; Xiaoming Liu 002; Daniel D. Morris (CVPR, 2025)

MonoCoP: Chain-of-Prediction for Monocular 3D Object Detection. - Zhihao Zhang; Abhinav Kumar 004; Girish Chandar Ganesan; Xiaoming Liu 002 (CoRR, 2025)