Rahul Bhotika

According to our database, Rahul Bhotika authored at least 37 papers between 2001 and 2023.

Collaborative distances:

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

2023

Relaxing Contrastiveness in Multimodal Representation Learning.

Zudi Lin, Erhan Bas, Kunwar Yashraj Singh, Gurumurthy Swaminathan, Rahul Bhotika

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Masked Vision and Language Modeling for Multi-modal Representation Learning.

Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Semi-supervised Vision Transformers at Scale.

Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks.

Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2022, 2022

Class-Incremental Learning with Strong Pre-trained Models.

Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Task Adaptive Parameter Sharing for Multi-Task Learning.

Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Representation Consolidation for Training Expert Students.

Zhizhong Li, Avinash Ravichandran, Charless C. Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto

CoRR, 2021

A linearized framework and a new benchmark for model selection for fine-tuning.

Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona

CoRR, 2021

Revisiting Contrastive Learning for Few-Shot Classification.

Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto

CoRR, 2021

Estimating informativeness of samples with Smooth Unique Information.

Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the 9th International Conference on Learning Representations, 2021

End-to-end Piece-wise Unwarping of Document Images.

Sagnik Das, Kunwar Yashraj Singh, Jon Wu, Erhan Bas, Vijay Mahadevan, Rahul Bhotika, Dimitris Samaras

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Continual Universal Object Detection.

Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

CoRR, 2020

Incremental Learning for Metric-Based Meta-Learners.

Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

CoRR, 2020

Predicting Training Time Without Training.

Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Rethinking the Hyperparameters for Fine-tuning.

Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the 8th International Conference on Learning Representations, 2020

Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment.

Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training.

Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

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

2015

FIST: a fast interactive segmentation technique.

Dirk Ryan Padfield, Rahul Bhotika, Alexander Natanzon

Proceedings of the Medical Imaging 2015: Image Processing, 2015

2012

Texture analysis using Minkowski functionals.

Xiaoxing Li, Paulo R. S. Mendonça, Rahul Bhotika

Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011

Liver fat quantification using fast kVp-switching dual energy CT.

András Kriston, Paulo R. S. Mendonça, Alvin C. Silva, Robert G. Paden, William Pavlicek, Dushyant Sahani, Benedek Janos Kis, László Ruskó, Darin Okerlund, Rahul Bhotika

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Initial evaluation of virtual un-enhanced imaging derived from fast kVp-switching dual energy contrast enhanced CT for the abdomen.

Mark Joshi, Paulo R. S. Mendonça, Darin Okerlund, Peter Lamb, Naveen Kulkarni, Duque de Pinho, Dushyant Sahani, Rahul Bhotika

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Coronary artery tree tracking with robust junction detection in 3D CT Angiography.

Fei Zhao, Rahul Bhotika

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Estimation of uncertainty in respiratory-gated PET images.

Paulo R. S. Mendonça, Peter Lamb, Evren Asma, Ravindra M. Manjeshwar, Osama R. Mawlawi, Rahul Bhotika

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Organ Labeling Using Anatomical Model-Driven Global Optimization.

Xiaofeng Liu, Qi Song, Paulo R. S. Mendonça, Xiaodong Tao, Rahul Bhotika

Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

2010

Automated liver lesion characterization using fast kVp switching dual energy computed tomography imaging.

Alberto Santamaría-Pang, Sandeep Dutta, Sokratis Makrogiannis, Amy K. Hara, William Pavlicek, Alvin C. Silva, Brian Thomsen, Scott Robertson, Darin Okerlund, David A. Langan, Rahul Bhotika

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Adaptive intensity models for probabilistic tracking of 3D vasculature.

Fei Zhao, Rahul Bhotika, Paulo R. S. Mendonça, Nils Krahnstoever, James V. Miller

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Physically meaningful virtual unenhanced image reconstruction from dual-energy CT.

Mahnaz Maddah, Paulo R. S. Mendonça, Rahul Bhotika

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

Nonparametric Intensity Priors for Level Set Segmentation of Low Contrast Structures.

Sokratis Makrogiannis, Rahul Bhotika, James V. Miller, John Skinner, Melissa Vass

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2007

A Probabilistic Model for Haustral Curvatures with Applications to Colon CAD.

John Melonakos, Paulo R. S. Mendonça, Rahul Bhotika, Saad A. Sirohey

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Model-Based Junction Detection Algorithm with Applications to Lung Nodule Detection.

Fei Zhao, Paulo R. S. Mendonça, Rahul Bhotika, James V. Miller

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Lung Nodule Detection Via Bayesian Voxel Labeling.

Paulo R. S. Mendonça, Rahul Bhotika, Fei Zhao, James V. Miller

Proceedings of the Information Processing in Medical Imaging, 2007

2006

Part-Based Local Shape Models for Colon Polyp Detection.

Rahul Bhotika, Paulo R. S. Mendonça, Saad A. Sirohey, Wesley D. Turner, Ying-Lin Lee, Julie M. McCoy, Rebecca E. B. Brown, James V. Miller

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Event Recognition with Fragmented Object Tracks.

Michael T. Chan, Anthony Hoogs, Zhaohui Sun, John Schmiederer, Rahul Bhotika, Gianfranco Doretto

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Joint Recognition of Complex Events and Track Matching.

Michael T. Chan, Anthony Hoogs, Rahul Bhotika, A. G. Amitha Perera, John Schmiederer, Gianfranco Doretto

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Model-Based Analysis of Local Shape for Lesion Detection in CT Scans.

Paulo R. S. Mendonça, Rahul Bhotika, Saad A. Sirohey, Wesley D. Turner, James V. Miller, Ricardo S. Avila

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2002

A Probabilistic Theory of Occupancy and Emptiness.

Rahul Bhotika, David J. Fleet, Kiriakos N. Kutulakos

Proceedings of the Computer Vision, 2002

2001

Flexible flow for 3D nonrigid tracking and shape recovery.

Matthew Brand, Rahul Bhotika

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001