Tushar Kataria

Orcid: 0000-0002-9469-5266

According to our database1, Tushar Kataria authored at least 24 papers between 2016 and 2025.

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Bibliography

2025
ImplicitStainer: Data-Efficient Medical Image Translation for Virtual Antibody-based Tissue Staining Using Local Implicit Functions.
CoRR, May, 2025

BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes.
CoRR, May, 2025

EFFICIENTMORPH: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

TRANSIENTTABLES: Evaluating LLMs' Reasoning on Temporally Evolving Semi-structured Tables.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Leveraging LLM For Synchronizing Information Across Multilingual Tables.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024
Weakly SSM : On the Viability of Weakly Supervised Segmentations for Statistical Shape Modeling.
CoRR, 2024

StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining.
CoRR, 2024

MASSM: An End-to-End Deep Learning Framework for Multi Anatomy Statistical Shape Modeling Directly From Images.
Proceedings of the Shape in Medical Imaging - International Workshop, 2024

Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Unsupervised Domain Adaptation for Semantic Segmentation Under Target Data Scarcity.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Multi-Set Inoculation: Assessing Model Robustness Across Multiple Challenge Sets.
CoRR, 2023

ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images.
CoRR, 2023

Unsupervised Domain Adaptation for Semantic Segmentation via Feature-space Density Matching.
CoRR, 2023

An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

To Pretrain or Not to Pretrain? A Case Study of Domain-Specific Pretraining for Semantic Segmentation in Histopathology.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

ADASSM: Adversarial Data Augmentation in Statistical Shape Models from Images.
Proceedings of the Shape in Medical Imaging - International Workshop, 2023

InfoSync: Information Synchronization across Multilingual Semi-structured Tables.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2020
Ringing artifacts in wavelet based image fusion: Analysis, measurement and remedies.
Inf. Fusion, 2020

2019
Characterizing behavioral trends in a community driven discussion platform.
CoRR, 2019

2018
Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2016
Image hallucination at different times of day using locally affine model and kNN template matching from time-lapse images.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016


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