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ORCIDRahul Bhotika
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2020 – today
- 2023
[c32]Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto:
Masked Vision and Language Modeling for Multi-modal Representation Learning. ICLR 2023- [c31]Zudi Lin, Erhan Bas, Kunwar Yashraj Singh, Gurumurthy Swaminathan, Rahul Bhotika:
Relaxing Contrastiveness in Multimodal Representation Learning. WACV 2023: 2226-2235 - 2022
- [c30]Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto:
Task Adaptive Parameter Sharing for Multi-Task Learning. CVPR 2022: 7551-7560 - [c29]Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos
, Rahul Bhotika, Stefano Soatto:
Class-Incremental Learning with Strong Pre-trained Models. CVPR 2022: 9591-9600 - [c28]Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto:
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. ECCV (36) 2022: 290-308 - [c27]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. NeurIPS 2022 - [i14]Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto:
Task Adaptive Parameter Sharing for Multi-Task Learning. CoRR abs/2203.16708 (2022) - [i13]Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto:
Class-Incremental Learning with Strong Pre-trained Models. CoRR abs/2204.03634 (2022) - [i12]Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto:
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. CoRR abs/2204.05626 (2022) - [i11]Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto:
Masked Vision and Language Modeling for Multi-modal Representation Learning. CoRR abs/2208.02131 (2022) - [i10]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. CoRR abs/2208.05688 (2022) - 2021
- [c26]Sagnik Das, Kunwar Yashraj Singh, Jon Wu, Erhan Bas, Vijay Mahadevan, Rahul Bhotika, Dimitris Samaras:
End-to-end Piece-wise Unwarping of Document Images. ICCV 2021: 4248-4257 - [c25]Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Estimating informativeness of samples with Smooth Unique Information. ICLR 2021 - [i9]Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Estimating informativeness of samples with Smooth Unique Information. CoRR abs/2101.06640 (2021) - [i8]Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto:
Revisiting Contrastive Learning for Few-Shot Classification. CoRR abs/2101.11058 (2021) - [i7]Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona:
A linearized framework and a new benchmark for model selection for fine-tuning. CoRR abs/2102.00084 (2021) - [i6]Zhizhong Li, Avinash Ravichandran, Charless C. Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto:
Representation Consolidation for Training Expert Students. CoRR abs/2107.08039 (2021) - 2020
- [c24]Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment. ECCV (7) 2020: 685-701 - [c23]Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Rethinking the Hyperparameters for Fine-tuning. ICLR 2020 - [c22]Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Predicting Training Time Without Training. NeurIPS 2020 - [i5]Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Incremental Learning for Metric-Based Meta-Learners. CoRR abs/2002.04162 (2020) - [i4]Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Continual Universal Object Detection. CoRR abs/2002.05347 (2020) - [i3]Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Rethinking the Hyperparameters for Fine-tuning. CoRR abs/2002.11770 (2020) - [i2]Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Predicting Training Time Without Training. CoRR abs/2008.12478 (2020)
2010 – 2019
- 2019
- [c21]Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training. ICCV 2019: 331-339 - [i1]Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training. CoRR abs/1905.04398 (2019) - 2015
- [c20]Dirk Ryan Padfield, Rahul Bhotika, Alexander Natanzon:
FIST: a fast interactive segmentation technique. Medical Imaging: Image Processing 2015: 941317 - 2012
- [c19]Xiaoxing Li, Paulo R. S. Mendonça, Rahul Bhotika:
Texture analysis using Minkowski functionals. Medical Imaging: Image Processing 2012: 83144Y - 2011
- [c18]Xiaofeng Liu, Qi Song, Paulo R. S. Mendonça, Xiaodong Tao, Rahul Bhotika:
Organ Labeling Using Anatomical Model-Driven Global Optimization. HISB 2011: 338-345 - [c17]Paulo R. S. Mendonça, Peter Lamb, Evren Asma, Ravindra M. Manjeshwar, Osama R. Mawlawi, Rahul Bhotika:
Estimation of uncertainty in respiratory-gated PET images. ISBI 2011: 1778-1783 - [c16]Fei Zhao, Rahul Bhotika:
Coronary artery tree tracking with robust junction detection in 3D CT Angiography. ISBI 2011: 2066-2071 - [c15]Mark Joshi, Paulo R. S. Mendonça, Darin Okerlund, Peter Lamb, Naveen Kulkarni, Duque de Pinho, Dushyant Sahani, Rahul Bhotika:
Initial evaluation of virtual un-enhanced imaging derived from fast kVp-switching dual energy contrast enhanced CT for the abdomen. Medical Imaging: Image Processing 2011: 79621G - [c14]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:
Liver fat quantification using fast kVp-switching dual energy CT. Medical Imaging: Image Processing 2011: 79623W - 2010
- [c13]Fei Zhao, Rahul Bhotika, Paulo R. S. Mendonça, Nils Krahnstoever, James V. Miller:
Adaptive intensity models for probabilistic tracking of 3D vasculature. ISBI 2010: 41-44 - [c12]Mahnaz Maddah, Paulo R. S. Mendonça, Rahul Bhotika:
Physically meaningful virtual unenhanced image reconstruction from dual-energy CT. ISBI 2010: 808-811 - [c11]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:
Automated liver lesion characterization using fast kVp switching dual energy computed tomography imaging. Medical Imaging: Computer-Aided Diagnosis 2010: 76240V
2000 – 2009
- 2009
- [c10]Sokratis Makrogiannis, Rahul Bhotika, James V. Miller, John Skinner, Melissa Vass:
Nonparametric Intensity Priors for Level Set Segmentation of Low Contrast Structures. MICCAI (1) 2009: 239-246 - 2007
- [c9]Paulo R. S. Mendonça, Rahul Bhotika, Fei Zhao, James V. Miller:
Lung Nodule Detection Via Bayesian Voxel Labeling. IPMI 2007: 134-146 - [c8]Fei Zhao, Paulo R. S. Mendonça, Rahul Bhotika, James V. Miller:
Model-Based Junction Detection Algorithm with Applications to Lung Nodule Detection. ISBI 2007: 504-507 - [c7]John Melonakos, Paulo R. S. Mendonça, Rahul Bhotika, Saad A. Sirohey:
A Probabilistic Model for Haustral Curvatures with Applications to Colon CAD. MICCAI (2) 2007: 420-427 - 2006
- [c6]Michael T. Chan, Anthony Hoogs, Rahul Bhotika, A. G. Amitha Perera, John Schmiederer, Gianfranco Doretto:
Joint Recognition of Complex Events and Track Matching. CVPR (2) 2006: 1615-1622 - [c5]Michael T. Chan, Anthony Hoogs, Zhaohui Sun, John Schmiederer, Rahul Bhotika, Gianfranco Doretto:
Event Recognition with Fragmented Object Tracks. ICPR (1) 2006: 412-416 - [c4]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:
Part-Based Local Shape Models for Colon Polyp Detection. MICCAI (2) 2006: 479-486 - 2005
- [c3]Paulo R. S. Mendonça, Rahul Bhotika, Saad A. Sirohey, Wesley D. Turner, James V. Miller, Ricardo S. Avila:
Model-Based Analysis of Local Shape for Lesion Detection in CT Scans. MICCAI 2005: 688-695 - 2002
- [c2]Rahul Bhotika, David J. Fleet, Kiriakos N. Kutulakos:
A Probabilistic Theory of Occupancy and Emptiness. ECCV (3) 2002: 112-132 - 2001
- [c1]Matthew Brand, Rahul Bhotika:
Flexible flow for 3D nonrigid tracking and shape recovery. CVPR (1) 2001: 315-
Coauthor Index
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