Shiv Gehlot

According to our database, Shiv Gehlot authored at least 21 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Deep Restoration of Archival Videos: Developments, Challenges, and Opportunities.

Shiv Gehlot, Sri Harsha Musunuri, Sutanu Bera, Aupendu Kar, Guan-Ming Su

Proceedings of the International Conference on Computing, Networking and Communications, 2026

2025

SyncTrack4D: Cross-Video Motion Alignment and Video Synchronization for Multi-Video 4D Gaussian Splatting.

Yonghan Lee, Tsung-Wei Huang, Shiv Gehlot, Jaehoon Choi, Guan-Ming Su, Dinesh Manocha

CoRR, December, 2025

Enhanced Generative Machine Listener.

Vishnu Raj, Gouthaman KV, Shiv Gehlot, Lars F. Villemoes, Arijit Biswas

CoRR, September, 2025

Parametric Shadow Control for Portrait Generationin Text-to-Image Diffusion Models.

Haoming Cai, Tsung-Wei Huang, Shiv Gehlot, Brandon Y. Feng, Sachin Shah, Guan-Ming Su, Christopher A. Metzler

CoRR, March, 2025

LViCAR: Diffusion Models for Perceptual Quality Enhancement in Video Compression Artifact Reduction.

Shiv Gehlot, Guan-Ming Su

Proceedings of the 3rd International Workshop on Deep Multimodal Generation and Retrieval, 2025

SD-URM: Stable-Diffusion Based Zero-Shot Universal Restoration Model.

Dae Yeol Lee, Shiv Gehlot, Lijun Zhang, Guan-Ming Su

Proceedings of the 2025 IEEE International Conference on Image Processing, ICIP 2025, 2025

Parametric Shadow Control for Portrait Generation in Text-to-Image Diffusion Models.

Haoming Cai, Tsung-Wei Huang, Shiv Gehlot, Brandon Y. Feng, Sachin Shah, Guan-Ming Su, Christopher A. Metzler

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism.

Nahid Ul Islam, Zongwei Zhou, Shiv Gehlot, Michael B. Gotway, Jianming Liang

Medical Image Anal., January, 2024

Standardizing Generative Face Video Compression using Supplemental Enhancement Information.

Bolin Chen, Yan Ye, Jie Chen, Ru-Ling Liao, Shanzhi Yin, Shiqi Wang, Kaifa Yang, Yue Li, Yiling Xu, Ye-Kui Wang, Shiv Gehlot, Guan-Ming Su, Peng Yin, Sean McCarthy, Gary J. Sullivan

CoRR, 2024

2023

SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images.

Anubha Gupta, Shiv Gehlot, Shubham Goswami, Sachin Motwani, Ritu Gupta, Álvaro García-Faura, Dejan Stepec, Tomaz Martincic, Reza Azad, Dorit Merhof, Afshin Bozorgpour, Babak Azad, Alaa Sulaiman, Deepanshu Pandey, Pradyumna Gupta, Sumit Bhattacharya, Aman Sinha, Rohit Agarwal, Xinyun Qiu, Yucheng Zhang, Ming Fan, Yoonbeom Park, Dae-Hong Lee, Joon Sik Park, KwangYeol Lee, Jaehyung Ye

Medical Image Anal., 2023

Lidacs: a Lightweight Domain adaptive cell Segmentation Framework.

Prakhar Rai, Shiv Gehlot, Ritu Gupta, Anubha Gupta

Proceedings of the Asia Conference on Artificial Intelligence, 2023

2022

FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics.

Nilanjan Chattopadhyay, Shiv Gehlot, Nitin Singhal

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

SegPC-2021: Segmentation of Multiple Myeloma Plasma Cells in Microscopic Images.

Anubha Gupta, Ritu Gupta, Shiv Gehlot, Shubham Goswami

Dataset, April, 2021

A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis.

Shiv Gehlot, Anubha Gupta, Ritu Gupta

Medical Image Anal., 2021

Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection.

Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification andSegmentation.

Shiv Gehlot, Anubha Gupta

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images.

Anubha Gupta, Rahul Duggal, Shiv Gehlot, Ritu Gupta, Anvit Mangal, Lalit Kumar, Nisarg Thakkar, Devprakash Satpathy

Medical Image Anal., 2020

SDCT-AuxNet^<i>θ</i>: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis.

Shiv Gehlot, Anubha Gupta, Ritu Gupta

Medical Image Anal., 2020

SDCT-AuxNet^θ: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis.

Shiv Gehlot, Anubha Gupta, Ritu Gupta

CoRR, 2020

EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation.

Shiv Gehlot, Anubha Gupta, Ritu Gupta

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

CT-NNBI: Method to Impute Gene Expression Data using DCT Based Sparsity and Nuclear Norm Constraint with Split Bregman Iteration.

Shiv Gehlot, Akanksha Farswan, Anubha Gupta, Ritu Gupta

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019