Onkar Susladkar

According to our database, Onkar Susladkar authored at least 21 papers between 2021 and 2025.

Collaborative distances:

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

2025

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.

Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci

Medical Image Anal., 2025

2024

MOVES: Movable and moving LiDAR scene segmentation in label-free settings using static reconstruction.

Prashant Kumar, Dhruv Makwana, Onkar Susladkar, Anurag Mittal, Prem Kumar Kalra

Pattern Recognit., 2024

CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver.

Debesh Jha, Onkar Susladkar, Vandan Gorade, Elif Keles, Matthew Antalek, Deniz Seyithanoglu, Timurhan Cebeci, Ertugrul Aktas, Gulbiz Dagoglu Kartal, Sabahattin Kaymakoglu, Sukru Mehmet Erturk, Yuri S. Velichko, Daniela P. Ladner, Amir Borhani, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci

CoRR, 2024

MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion.

Onkar Susladkar, Jishu Sen Gupta, Chirag Sehgal, Sparsh Mittal, Rekha Singhal

CoRR, 2024

Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs.

Vandan Gorade, Onkar Susladkar, Gorkem Durak, Elif Keles, Ertugrul Aktas, Timurhan Cebeci, Alpay Medetalibeyoglu, Daniela P. Ladner, Debesh Jha, Ulas Bagci

CoRR, 2024

D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods.

Onkar Susladkar, Gayatri Deshmukh, Sparsh Mittal, Parth Shastri

CoRR, 2024

Ethical Framework for Responsible Foundational Models in Medical Imaging.

Abhijit Das, Debesh Jha, Jasmer Sanjotra, Onkar Susladkar, Suramyaa Sarkar, Ashish Rauniyar, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci

CoRR, 2024

LIVENet: A novel network for real-world low-light image denoising and enhancement.

Dhruv Makwana, Gayatri Deshmukh, Onkar Susladkar, Sparsh Mittal, R. Sai Chandra Teja

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Textual Alchemy: CoFormer for Scene Text Understanding.

Gayatri Deshmukh, Onkar Susladkar, Dhruv Makwana, Sparsh Mittal, R. Sai Chandra Teja

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

D²Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods.

Onkar Susladkar, Gayatri Deshmukh, Sparsh Mittal, Parth Shastri

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Bahasa Harmony: A Comprehensive Dataset for Bahasa Text-to-Speech Synthesis with Discrete Codec Modeling of EnGen-TTS.

Onkar Susladkar, Vishesh Tripathi, Biddwan Ahmed

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization.

Onkar Susladkar, Gayatri Deshmukh, Vandan Gorade, Sparsh Mittal

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Towards Scene-Text to Scene-Text Translation.

Onkar Susladkar, Prajwal Gatti, Anand Mishra

CoRR, 2023

MOVESe: MOVablE and Moving LiDAR Scene Segmentation with Improved Navigation in Seg-label free settings.

Prashant Kumar, Onkar Susladkar, Dhruv Makwana, Anurag Mittal, Prem Kumar Kalra

CoRR, 2023

GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks.

Onkar Susladkar, Gayatri Deshmukh, Dhruv Makwana, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

TPFNet: A Novel Text In-painting Transformer for Text Removal.

Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

SLBERT: A Novel Pre-Training Framework for Joint Speech and Language Modeling.

Onkar Susladkar, Prajwal Gatti, Santosh Kumar Yadav

Proceedings of the IEEE International Conference on Acoustics, 2023

LiBERTy: A Novel Model for Natural Language Understanding.

Onkar Susladkar, Gayatri S. Deshmukh, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal

Proceedings of the Third International Conference on AI-ML Systems, 2023

2022

ClarifyNet: A high-pass and low-pass filtering based CNN for single image dehazing.

Onkar Susladkar, Gayatri Deshmukh, Subhrajit Nag, Ananya Mantravadi, Dhruv Makwana, Sujitha Ravichandran, R. Sai Chandra Teja, Gajanan H. Chavhan, C. Krishna Mohan, Sparsh Mittal

J. Syst. Archit., 2022

ACLNet: An Attention and Clustering-based Cloud Segmentation Network.

Dhruv Makwana, Subhrajit Nag, Onkar Susladkar, Gayatri Deshmukh, R. Sai Chandra Teja, Sparsh Mittal, C. Krishna Mohan

CoRR, 2022

2021

Study of Similarity Measures as Features in Classification for Answer Sentence Selection Task in Hindi Question Answering: Language-Specific v/s Other Measures.

Devika Verma, Ramprasad Joshi, Shubhamkar Joshi, Onkar Susladkar

Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021