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Tushar Kataria
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2020 – today
- 2024
- [c11]Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth:
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets. EMNLP 2024: 22162-22184 - [c10]Tushar Kataria, Beatrice S. Knudsen, Shireen Y. Elhabian:
Unsupervised Domain Adaptation for Semantic Segmentation Under Target Data Scarcity. ISBI 2024: 1-5 - [c9]Janmesh Ukey, Tushar Kataria, Shireen Y. Elhabian:
MASSM: An End-to-End Deep Learning Framework for Multi Anatomy Statistical Shape Modeling Directly From Images. ShapeMI@MICCAI 2024: 149-163 - [c8]Rachaell Nihalaani, Tushar Kataria, Jadie Adams, Shireen Y. Elhabian:
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation. MICCAI (10) 2024: 273-285 - [i14]Janmesh Ukey, Tushar Kataria, Shireen Y. Elhabian:
MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images. CoRR abs/2403.11008 (2024) - [i13]Abu Zahid Bin Aziz, Mokshagna Sai Teja Karanam, Tushar Kataria, Shireen Y. Elhabian:
EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration. CoRR abs/2403.11026 (2024) - [i12]Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining. CoRR abs/2403.11340 (2024) - [i11]Rachaell Nihalaani, Tushar Kataria, Jadie Adams, Shireen Y. Elhabian:
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation. CoRR abs/2403.12290 (2024) - [i10]Pranshu Pandya, Agney S. Talwarr, Vatsal Gupta, Tushar Kataria, Vivek Gupta, Dan Roth:
NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models. CoRR abs/2407.10380 (2024) - [i9]Janmesh Ukey, Tushar Kataria, Shireen Y. Elhabian:
Weakly SSM : On the Viability of Weakly Supervised Segmentations for Statistical Shape Modeling. CoRR abs/2407.15260 (2024) - 2023
- [c7]Siddharth Khincha, Chelsi Jain, Vivek Gupta, Tushar Kataria, Shuo Zhang:
InfoSync: Information Synchronization across Multilingual Semi-structured Tables. ACL (Findings) 2023: 2536-2559 - [c6]Mokshagna Sai Teja Karanam, Tushar Kataria, Krithika Iyer, Shireen Y. Elhabian:
ADASSM: Adversarial Data Augmentation in Statistical Shape Models from Images. ShapeMI@MICCAI 2023: 90-104 - [c5]Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
To Pretrain or Not to Pretrain? A Case Study of Domain-Specific Pretraining for Semantic Segmentation in Histopathology. MILLanD@MICCAI 2023: 246-256 - [c4]Shikha Dubey, Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon. MLMI@MICCAI (2) 2023: 447-456 - [c3]Mary W. Hall, Ganesh Gopalakrishnan, Eric Eide, Johanna Cohoon, Jeff M. Phillips, Mu Zhang, Shireen Y. Elhabian, Aditya Bhaskara, Harvey Dam, Artem Yadrov, Tushar Kataria, Amir Mohammad Tavakkoli, Sameeran Joshi, Mokshagna Sai Teja Karanam:
An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report. SC Workshops 2023: 343-349 - [i8]Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
Unsupervised Domain Adaptation for Semantic Segmentation via Feature-space Density Matching. CoRR abs/2305.05789 (2023) - [i7]Mokshagna Sai Teja Karanam, Tushar Kataria, Shireen Y. Elhabian:
ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images. CoRR abs/2307.03273 (2023) - [i6]Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathology. CoRR abs/2307.03275 (2023) - [i5]Siddharth Khincha, Chelsi Jain, Vivek Gupta, Tushar Kataria, Shuo Zhang:
InfoSync: Information Synchronization across Multilingual Semi-structured Tables. CoRR abs/2307.03313 (2023) - [i4]Shikha Dubey, Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon. CoRR abs/2308.13182 (2023) - [i3]Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth:
Multi-Set Inoculation: Assessing Model Robustness Across Multiple Challenge Sets. CoRR abs/2311.08662 (2023) - 2020
- [j1]Ashish V. Vanmali, Tushar Kataria, Samrudha G. Kelkar, Vikram M. Gadre:
Ringing artifacts in wavelet based image fusion: Analysis, measurement and remedies. Inf. Fusion 56: 39-69 (2020)
2010 – 2019
- 2019
- [i2]Sachin Thukral, Arnab Chatterjee, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Lipika Dey:
Characterizing behavioral trends in a community driven discussion platform. CoRR abs/1911.02771 (2019) - 2018
- [c2]Sachin Thukral, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Arnab Chatterjee, Lipika Dey:
Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit. ASONAM 2018: 662-669 - [i1]Sachin Thukral, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Arnab Chatterjee, Lipika Dey:
Analyzing behavioral trends in community driven discussion platforms like Reddit. CoRR abs/1809.07087 (2018) - 2016
- [c1]Nikunj Patel, Tushar Kataria:
Image hallucination at different times of day using locally affine model and kNN template matching from time-lapse images. ICVGIP 2016: 30:1-30:8
Coauthor Index
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