Flexible flow for 3D nonrigid tracking and shape recovery. - Matthew Brand; Rahul Bhotika (CVPR (1), 2001)

A Probabilistic Theory of Occupancy and Emptiness. - Rahul Bhotika; David J. Fleet; Kiriakos N. Kutulakos (ECCV (3), 2002)

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 (MICCAI, 2005)

Joint Recognition of Complex Events and Track Matching. - Michael T. Chan; Anthony Hoogs; Rahul Bhotika; A. G. Amitha Perera; John Schmiederer; Gianfranco Doretto (CVPR (2), 2006)

Event Recognition with Fragmented Object Tracks. - Michael T. Chan; Anthony Hoogs; Zhaohui Sun; John Schmiederer; Rahul Bhotika; Gianfranco Doretto (ICPR (1), 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 (MICCAI (2), 2006)

Lung Nodule Detection Via Bayesian Voxel Labeling. - Paulo R. S. Mendonça; Rahul Bhotika; Fei Zhao; James V. Miller (IPMI, 2007)

Model-Based Junction Detection Algorithm with Applications to Lung Nodule Detection. - Fei Zhao; Paulo R. S. Mendonça; Rahul Bhotika; James V. Miller (ISBI, 2007)

A Probabilistic Model for Haustral Curvatures with Applications to Colon CAD. - John Melonakos; Paulo R. S. Mendonça; Rahul Bhotika; Saad A. Sirohey (MICCAI (2), 2007)

Nonparametric Intensity Priors for Level Set Segmentation of Low Contrast Structures. - Sokratis Makrogiannis; Rahul Bhotika; James V. Miller; John Skinner; Melissa Vass (MICCAI (1), 2009)

Physically meaningful virtual unenhanced image reconstruction from dual-energy CT. - Mahnaz Maddah; Paulo R. S. Mendonça; Rahul Bhotika (ISBI, 2010)

Adaptive intensity models for probabilistic tracking of 3D vasculature. - Fei Zhao; Rahul Bhotika; Paulo R. S. Mendonça; Nils Krahnstoever; James V. Miller (ISBI, 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 (Computer-Aided Diagnosis, 2010)

Organ Labeling Using Anatomical Model-Driven Global Optimization. - Xiaofeng Liu; Qi Song; Paulo R. S. Mendonça; Xiaodong Tao; Rahul Bhotika (HISB, 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 (ISBI, 2011)

Coronary artery tree tracking with robust junction detection in 3D CT Angiography. - Fei Zhao; Rahul Bhotika (ISBI, 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 (Image Processing, 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 (Image Processing, 2011)

Texture analysis using Minkowski functionals. - Xiaoxing Li; Paulo R. S. Mendonça; Rahul Bhotika (Image Processing, 2012)

FIST: a fast interactive segmentation technique. - Dirk Ryan Padfield; Rahul Bhotika; Alexander Natanzon (Image Processing, 2015)

Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training. - Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (ICCV, 2019)

Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment. - Qing Liu; Orchid Majumder; Alessandro Achille; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (ECCV (7), 2020)

Rethinking the Hyperparameters for Fine-tuning. - Hao Li; Pratik Chaudhari; Hao Yang 043; Michael Lam; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (ICLR, 2020)

Predicting Training Time Without Training. - Luca Zancato; Alessandro Achille; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (NeurIPS, 2020)

Incremental Learning for Metric-Based Meta-Learners. - Qing Liu; Orchid Majumder; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (CoRR, 2020)

Continual Universal Object Detection. - Xialei Liu; Hao Yang 043; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (CoRR, 2020)

End-to-end Piece-wise Unwarping of Document Images. - Sagnik Das; Kunwar Yashraj Singh; Jon Wu; Erhan Bas; Vijay Mahadevan; Rahul Bhotika; Dimitris Samaras (ICCV, 2021)

Estimating informativeness of samples with Smooth Unique Information. - Hrayr Harutyunyan; Alessandro Achille; Giovanni Paolini; Orchid Majumder; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (ICLR, 2021)

Revisiting Contrastive Learning for Few-Shot Classification. - Orchid Majumder; Avinash Ravichandran; Subhransu Maji; 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)

Representation Consolidation for Training Expert Students. - Zhizhong Li; Avinash Ravichandran; Charless C. Fowlkes; Marzia Polito; Rahul Bhotika; Stefano Soatto (CoRR, 2021)

Task Adaptive Parameter Sharing for Multi-Task Learning. - Matthew Wallingford; Hao Li; Alessandro Achille; Avinash Ravichandran; Charless C. Fowlkes; Rahul Bhotika; Stefano Soatto (CVPR, 2022)

Class-Incremental Learning with Strong Pre-trained Models. - Tz-Ying Wu; Gurumurthy Swaminathan; Zhizhong Li; Avinash Ravichandran; Nuno Vasconcelos; Rahul Bhotika; Stefano Soatto (CVPR, 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 (ECCV (36), 2022)

Semi-supervised Vision Transformers at Scale. - Zhaowei Cai; Avinash Ravichandran; Paolo Favaro; Manchen Wang; Davide Modolo; Rahul Bhotika; Zhuowen Tu; Stefano Soatto (NeurIPS, 2022)

Masked Vision and Language Modeling for Multi-modal Representation Learning. - Gukyeong Kwon; Zhaowei Cai; Avinash Ravichandran; Erhan Bas; Rahul Bhotika; Stefano Soatto (ICLR, 2023)

Relaxing Contrastiveness in Multimodal Representation Learning. - Zudi Lin; Erhan Bas; Kunwar Yashraj Singh; Gurumurthy Swaminathan; Rahul Bhotika (WACV, 2023)

DPL: Diverse Preference Learning Without A Reference Model. - Abhijnan Nath; Andrey Volozin; Saumajit Saha; Albert Nanda; Galina Grunin; Rahul Bhotika; Nikhil Krishnaswamy (NAACL (Long Papers), 2025)