基本信息
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Bio
Onkar's expertise spans continual learning, generative modeling, Natural Language Processing (NLP), and Computer Vision (CV), with a strong focus on multi-modal interactions. He is collaborating with the Machine and Hybrid Intelligence Lab at Northwestern University on cutting-edge projects, including synthetic data generation for CT/MRI images using Diffusion models and groundbreaking work in Video Diffusion. Onkar has also made significant contributions to signal processing, particularly in text-to-speech (TTS) and speech enhancement.He has published papers in top-tier journals and conferences such as the Journal of System Architecture, TPAMI, TACL, ECCV, ACL, EMNLP, ICASSP, and WACV. Driven by a passion for developing novel ideas and implementing them, Onkar is dedicated to advancing AI through continuous research and collaboration.
Research Interests
Papers共 18 篇Author StatisticsCo-AuthorSimilar Experts
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ICLR 2025 (2025)
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IEEE/CVF Winter Conference on Applications of Computer Visionpp.5844-5853, (2024)
Abhijit Das,Debesh Jha, Jasmer Sanjotra,Onkar Susladkar, Suramyaa Sarkar,Ashish Rauniyar, Nikhil Tomar,Vanshali Sharma,Ulas Bagci
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IEEE/CVF Winter Conference on Applications of Computer Visionpp.2919-2929, (2024)
CoRR (2024)
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CoRR (2024)
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EMNLP 2024 (2024): 19046-19059
International Conference on Pattern Recognitionpp.63-82, (2024)
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
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