Aman Shrivastava

According to our database, Aman Shrivastava authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models.

Aman Shrivastava, P. Thomas Fletcher

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Estimating and Maximizing Mutual Information for Knowledge Distillation.

Aman Shrivastava, Yanjun Qi, Vicente Ordonez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision.

Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Improving Interpretability via Explicit Word Interaction Graph Layer.

Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations.

Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez

CoRR, 2021

Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification.

Yash Sharma, Aman Shrivastava, Lubaina Ehsan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Self-attentive Adversarial Stain Normalization.

Aman Shrivastava, William Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Self-Attentive Adversarial Stain Normalization.

Aman Shrivastava, William Adorno, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Donald E. Brown, Sana Syed

CoRR, 2019

Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease.

Aman Shrivastava, Karan Kant, Saurav Sengupta, Sung-Jun Kang, Marium N. Khan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Donald E. Brown, Sana Syed

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019