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Shikhar Srivastava 0001
Person information
- affiliation: University of Rochester, New York, NY, USA
- affiliation (former): Manipal Academcy of Higher Education, India
Other persons with the same name
- Shikhar Srivastava 0002 — Berlin Center for Advanced Neuroimaging, Germany
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2020 – today
- 2024
- [i2]Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan:
Revisiting Multi-Modal LLM Evaluation. CoRR abs/2408.05334 (2024) - [i1]Shikhar Srivastava, Md Yousuf Harun, Robik Shrestha, Christopher Kanan:
Improving Multimodal Large Language Models Using Continual Learning. CoRR abs/2410.19925 (2024) - 2023
- [c2]Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar:
Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer. CVPR Workshops 2023: 2525-2534 - 2021
- [j2]Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi:
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40(12): 3413-3423 (2021) - [c1]Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra:
Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. DART/FAIR@MICCAI 2021: 226-238
2010 – 2019
- 2019
- [j1]Rudresh Deepak Shirwaikar, Dinesh Acharya U., Krishna Moorthi Makkithaya, Surulivelrajan M, Shikhar Srivastava, Leslie Edward S. Lewis U:
Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction. Artif. Intell. Medicine 98: 59-76 (2019)
Coauthor Index
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