Ali Vosoughi
阿力
Ali Vosoughi is a PhD candidate at the University of Rochester, where he is studying in the Department of Electrical and Computer Engineering under the supervision of Professor Chenliang Xu and Professor Axel Wismueller. His research focuses on multimodality and complex reasoning, with the goal of enabling AI to assist humans in performing complex physical and imaginative tasks.
He obtained his Bachelor’s degree from the Electrical Engineering Department of Sharif University of Technology, Tehran, Iran, and Master degree from Electrical Engineering Department of Bogazici University, Istanbul, Turkey. He also holds a second Master degree in Electrical and Computer Engineering from University of Rochester, Rochester, New York, United States of America.
Write ✉️ to Ali Vosoughi: (ali.vosoughi) 🙂 (rochester.edu)
News
03/2024: One paper accepted at NAACL 2024.
02/2024: One paper accepted at IEEE TMM.
01/2024: We published survey on Vid-LLMs.
12/2023: One paper accepted at ICASSP 2024.
11/2023: PTG team meetings held at MIT.
10/2023: A US Patent was filed in the area of audio and language.
08/2023: Two papers accepted at ICCV 2023, AV4D Workshop.
07/2023: Will be serving as ICCV 2023 reviewer.
07/2023: Three papers accepted at RSNA 2023.
07/2023: Will be serving as PC for AAAI 2023.
06/2023: Will be serving as EMNLP 2023 reviewer.
05/2023: Presenting research in Bosch Research USA Center for AI.
05/2023: Will be serving as Nature Communications reviewer.
04/2023: Started Internship at Bosch Cen. for AI.
04/2023: Serving as IEEE TMM reviewer.
04/2023: Two papers accepted at SPIE Emerging Topics in AI.
03/2023: Will be serving as ACL 2023 reviewer.
03/2023: We hosted a national DARPA PI meeting.
02/2023: Will be serving as CVPR 2023 reviewer.
08/2022: One paper accepted at Nature, digital medicine.
08/2022: Five papers accepted at RSNA 2022.
05/2022: Will be serving as EMNLP 2022 reviewer.
04/2022: Nominated for the Donald M. and Janet C. Barnard Fellowship.
02/2022: One paper accepted at ICASSP 2022.
02/2022: Will be serving as CVPR 2022 reviewer.
01/2022: Two papers accepted at SPIE Defense Sensing 2022.
12/2021: Will be serving as IEEE TMI reviewer.
10/2021: Three papers accepted at Medical Imaging 2022.
10/2021: One paper accepted at Computer-Aided Diagnosis 2022.
08/2021: Accepted as a PhD scholar in NSF program for AR/VR.
08/2021: One paper accepted at EUSIPCO 2021.
03/2021: Will be serving as ESANN 2021 reviewer.
02/2021: Received travel grant from GSA of U. of Rochester.
02/2021: One paper accepted at Nature.
11/2020: One paper accepted at Computer-Aided Diagnosis 2021.
11/2020: Three papers accepted at Medical Imaging 2021.
10/2020: One paper accepted at Proceedings of SPIE.
03/2020: Will be serving as ESANN 2020 reviewer.
01/2020: Will be TA for Detection and Estimation Theory.
Publications
Multimodal LLM that encompasses all multimodal tasks in one umbrella.
Under Double Blind Review
ACM MM’24
[Paper][Code][Website]
Detecting Landmarks in Anatomical Medical Images using Transformer-based Networks
Akhil Kasturi*, Ali Vosoughi*, Nathan Hadjiyski, Larry Stockmaster, William J Sehnert, Axel Wismueller
SPIE’23
[Paper]
Cross Modal Global Local Representation Learning from Radiology Reports and X-Ray Chest Images
Nathan Hadjiyski, Ali Vosoughi, Axel Wismueller
SPIE’23
[Paper]
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments
Ali Vosoughi, Axel Wismueller
EUSIPCO’21
[Paper]
Personal Gallery
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