Kumar, Abhinav

31 publications

ICCV 2025 CHARM3R: Towards Unseen Camera Height Robust Monocular 3D Detector Abhinav Kumar, Yuliang Guo, Zhihao Zhang, Xinyu Huang, Liu Ren, Xiaoming Liu

ICLR 2025 Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma

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

MLHC 2025 State-of-the-Art Text-Prompted Medical Segmentation Models Struggle to Ground Chest CT Findings Mohammed Baharoon, Luyang Luo, Michael Moritz, Abhinav Kumar, Sung Eun Kim, Xiaoman Zhang, Miao Zhu, Kent Kleinschmidt, Sri Sai Dinesh Jaliparthi, Sathvik Suryadevara, Rithvik Akula, Mark Marino, Wenhui Lei, Ibrahim Ethem Hamamci, Pranav Rajpurkar

ICML 2025 Teaching Transformers Causal Reasoning Through Axiomatic Training Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma

ICLRW 2025 Teaching Transformers Causal Reasoning Through Axiomatic Training Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma

NeurIPSW 2024 Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma

ECCV 2024 Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach Aveen Dayal, Rishabh Lalla, Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N Balasubramanian

NeurIPS 2024 Learning Mixtures of Unknown Causal Interventions Abhinav Kumar, Kirankumar Shiragur, Caroline Uhler

ECCV 2024 Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry Shengjie Zhu, Girish Chandar Ganesan, Abhinav Kumar, Xiaoming Liu

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

CVPR 2024 SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects Abhinav Kumar, Yuliang Guo, Xinyu Huang, Liu Ren, Xiaoming Liu

ICMLW 2024 Teaching Transformers Causal Reasoning Through Axiomatic Training Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma

NeurIPSW 2024 Teaching Transformers Causal Reasoning Through Axiomatic Training Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma

NeurIPS 2023 Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations Abhinav Kumar, Amit Deshpande, Amit Sharma

NeurIPS 2023 MADG: Margin-Based Adversarial Learning for Domain Generalization Aveen Dayal, K B Vimal, Linga Reddy Cenkeramaddi, C Mohan, Abhinav Kumar, Vineeth N Balasubramanian

CVPR 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

CoRL 2023 One-Shot Imitation Learning via Interaction Warping Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt

NeurIPS 2023 PrObeD: Proactive Object Detection Wrapper Vishal Asnani, Abhinav Kumar, Suya You, Xiaoming Liu

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

NeurIPS 2023 Tame a Wild Camera: In-the-Wild Monocular Camera Calibration Shengjie Zhu, Abhinav Kumar, Masa Hu, Xiaoming Liu

ECCV 2022 DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, Xiaoming Liu

NeurIPS 2022 Probing Classifiers Are Unreliable for Concept Removal and Detection Abhinav Kumar, Chenhao Tan, Amit Sharma

ICMLW 2022 Probing Classifiers Are Unreliable for Concept Removal and Detection Abhinav Kumar, Chenhao Tan, Amit Sharma

UAI 2021 Disentangling Mixtures of Unknown Causal Interventions Abhinav Kumar, Gaurav Sinha

CVPR 2021 GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection Abhinav Kumar, Garrick Brazil, Xiaoming Liu

NeurIPS 2021 Scaling up Exact Neural Network Compression by ReLU Stability Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam

CVPR 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

ICCVW 2019 UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Chen Feng, Xiaoming Liu

AAAI 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

WACV 2019 Zero Shot License Plate Re-Identification Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath