Tushar Kataria

Tushar Kataria

PhD Candidate in Computing, Image Analysis

Publications

You can also find my articles on my Google Scholar profile.

  1. Tushar Kataria, Gerald Sabin, Ponnuswamy Sadayappan, Shireen Y. Elhabian. "FLASHSWIN: Unlocking Large Windows and Dense Tokens in Swin Vision Transformers with Memory Efficient Attention." arXiv preprint arXiv:2610.04664 (2026).
    [arXiv] [Code] [Abstract]
  2. Tushar Kataria, Shireen Y. Elhabian. "BoundarySeg: Boundary-Aware Multi-Task Learning for Semi-Supervised 3D Medical Image Segmentation with Limited Unlabeled Data." arXiv preprint arXiv:2505.09829 (2026).
    [arXiv] [Code] [Abstract]
  3. Md Rakibul Haque, Tushar Kataria, Shireen Y. Elhabian. "Inference-Time Orthogonal Seeding Enables Geometry-Aligned 3D Organ Segmentation for Slice-Propagation Methods." In Machine Learning in Medical Imaging (MLMI), MICCAI 2026.
    [arXiv] [Code] [Abstract]
  4. Asma Khan*, Tushar Kataria*, Janmesh Ukey, Shireen Y. Elhabian. "On the Viability of Semi-Supervised Segmentation Methods for Statistical Shape Modeling." In Shape in Medical Imaging (ShapeMI), MICCAI 2026.
    [arXiv] [Abstract]
  5. Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian. "IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions." arXiv preprint arXiv:2505.09831 (2026).
    [arXiv] [Code] [Abstract]
  6. Md Rakibul Haque, KM Arefeen Sultan, Tushar Kataria, Shireen Elhabian. "MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs." In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2026.
    [arXiv] [Code] [Abstract]
  7. Mokshagna Sai Teja Karanam, Tushar Kataria, Shireen Elhabian. "MorphoFlow: Sparse-Supervised Generative Shape Modeling with Adaptive Latent Relevance." In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2027.
    [arXiv] [Abstract]
  8. Sharat Bhat, Harshita Khandelwal, Tushar Kataria, Vivek Gupta. "MapVerse: A Benchmark for Geospatial Question Answering on Diverse Real-World Maps." In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026.
    [arXiv] [Code] [Abstract]
  9. Tushar Kataria, Shikha Dubey, Mary Bronner, Jolanta Jedrzkiewicz, Ben J. Brintz, Shireen Y. Elhabian, Beatrice S. Knudsen. "Building Trust in Virtual Immunohistochemistry: Automated Assessment of Image Quality." arXiv preprint arXiv:2511.04615 (2025).
    [arXiv] [Code] [Abstract]
  10. Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian. "StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining." arXiv preprint arXiv:2403.11340 (2025).
    [arXiv] [Abstract]
  11. Khincha, Siddharth, Tushar Kataria, Ankita Anand, Dan Roth, and Vivek Gupta. "Leveraging LLM For Synchronizing Information Across Multilingual Tables." arXiv preprint arXiv:2504.02559 (2025).
    [Paper] [arXiv] [Abstract]
  12. Shankarampeta, Abhilash, Harsh Mahajan, Tushar Kataria, Dan Roth, and Vivek Gupta. "TransientTables: Evaluating LLMs Reasoning on Temporally Evolving Semi-structured Tables." arXiv preprint arXiv:2504.01879 (2025).
    [Paper] [arXiv] [Code] [Abstract]
  13. Pandya, Pranshu, Vatsal Gupta, Agney S. Talwarr, Tushar Kataria, Dan Roth, and Vivek Gupta. "Ntsebench: Cognitive reasoning benchmark for vision language models." In Findings of the Association for Computational Linguistics: NAACL 2025, pp. 3680-3708. 2025.
    [Paper] [arXiv] [Code] [Abstract]
  14. Aziz, Abu Zahid Bin, Mokshagna Sai Teja Karanam, Tushar Kataria, and Shireen Y. Elhabian. "EFFICIENTMORPH: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 1330-1341. IEEE, 2025.
    [Paper] [arXiv] [Code] [Abstract]
  15. Gupta, Vatsal, Pranshu Pandya, Tushar Kataria, Vivek Gupta, and Dan Roth. "Evaluating concurrent robustness of language models across diverse challenge sets." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pp. 22162-22184. 2024.
    [Paper] [arXiv] [Code] [Abstract]
  16. Nihalaani, R., Kataria, T., Adams, J. and Elhabian, S.Y., 2024, October. Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 273-285). Cham: Springer Nature Switzerland.
    [Paper] [arXiv] [Code] [Abstract]
  17. Ukey, Janmesh, Tushar Kataria, and Shireen Y. Elhabian. "MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images." arXiv preprint arXiv:2403.11008 (2024).
    [Paper] [arXiv] [Abstract]
  18. T. Kataria, B. S. Knudsen and S. Y. Elhabian, "Unsupervised Domain Adaptation for Semantic Segmentation Under Target Data Scarcity," 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024, pp. 1-5, doi: 10.1109/ISBI56570.2024.10635646.
    [Paper] [arXiv] [Abstract]
  19. Hall, Mary, Ganesh Gopalakrishnan, Eric Eide, Johanna Cohoon, Jeff Phillips, Mu Zhang, Shireen Elhabian et al. "An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report." In Proceedings of the SC23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, pp. 343-349. 2023.
    [Paper] [Abstract]
  20. Dubey, S., Kataria, T., Knudsen, B., Elhabian, S.Y. (2024). Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon. In: Cao, X., Xu, X., Rekik, I., Cui, Z., Ouyang, X. (eds) Machine Learning in Medical Imaging. MLMI 2023. Lecture Notes in Computer Science, vol 14349. Springer, Cham. https://doi.org/10.1007/978-3-031-45676-3_45
    [Paper] [arXiv] [Abstract]
  21. Kataria, T., Knudsen, B., Elhabian, S. (2023). To Pretrain or Not to Pretrain? A Case Study of Domain-Specific Pretraining for Semantic Segmentation in Histopathology. In: Xue, Z., et al. Medical Image Learning with Limited and Noisy Data. MILLanD 2023. Lecture Notes in Computer Science, vol 14307. Springer, Cham. https://doi.org/10.1007/978-3-031-44917-8_24
    [Paper] [arXiv] [Code] [Abstract]
  22. Karanam, M.S.T., Kataria, T., Iyer, K., Elhabian, S.Y. (2023). ADASSM: Adversarial Data Augmentation in Statistical Shape Models from Images. In: Wachinger, C., Paniagua, B., Elhabian, S., Li, J., Egger, J. (eds) Shape in Medical Imaging. ShapeMI 2023. Lecture Notes in Computer Science, vol 14350. Springer, Cham. https://doi.org/10.1007/978-3-031-46914-5_8
    [Paper] [arXiv] [Abstract]
  23. Kataria, Tushar, Saradha Rajamani, Abdul Bari Ayubi, Mary Bronner, Jolanta Jedrzkiewicz, Beatrice Knudsen, and Shireen Y. Elhabian. "Automating Ground Truth Annotations for Gland Segmentation Through Immunohistochemistry." Modern Pathology (2023): 100331.
    [Paper] [arXiv] [Abstract]
  24. Khincha, Siddharth, Chelsi Jain, Vivek Gupta, Tushar Kataria, and Shuo Zhang. "InfoSync: Information Synchronization across Multilingual Semi-structured Tables." In Findings of the Association for Computational Linguistics: ACL 2023, pp. 2536-2559. 2023.
    [Paper] [arXiv] [Code] [Abstract]
  25. Ashish V. Vanmali, Tushar Kataria, Samrudha G. Kelkar, Vikram M. Gadre, “Analysis of Ringing Artifact In Image Fusion Using Directional Wavelet Transforms, ” in Proceedings of Vidyavardhini’s National Conference 2020 (Technical Advancements for Social Upliftments), International Journal of Engineering Research & Technology (IJERT), Vol. 9, Issue 3, Feb 2021, pp. 495-502, ISSN: 2278-0181.
    [Paper] [Abstract]
  26. Vanmali, Ashish V., Tushar Kataria, Samrudha G. Kelkar, and Vikram M. Gadre. "Ringing artifacts in wavelet based image fusion: Analysis, measurement and remedies." Information Fusion 56 (2020): 39-69.
    [Paper] [Abstract]
  27. Patel, Nikunj, and Tushar Kataria. "Image hallucination at different times of day using locally affine model and kNN template matching from time-lapse images." In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing, pp. 1-8. 2016.
    [Paper] [Abstract]

* Equal contribution