activity
20192023
most citedCluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification

51 citations · 56 across the 6 of their papers we have counts for

collaborators

7 papers

eess.IV2023★ 3 cited

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

Aman Shrivastava, P. Thomas Fletcher

In recent years, computational pathology has seen tremendous progress driven by deep learning methods in segmentation and classification tasks aiding prognostic and diagnostic sett…

cs.CL2023★ 1 cited

Improving Interpretability via Explicit Word Interaction Graph Layer

Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava +3

Recent NLP literature has seen growing interest in improving model interpretability. Along this direction, we propose a trainable neural network layer that learns a global interact…

cs.CV2021★ 1 cited

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

Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik +1

We propose CLIP-Lite, an information efficient method for visual representation learning by feature alignment with textual annotations. Compared to the previously proposed CLIP mod…

cs.CV2021

Estimating and Maximizing Mutual Information for Knowledge Distillation

Aman Shrivastava, Yanjun Qi, Vicente Ordonez

In this work, we propose Mutual Information Maximization Knowledge Distillation (MIMKD). Our method uses a contrastive objective to simultaneously estimate and maximize a lower bou…

eess.IV2021★ 51 cited

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

Yash Sharma, Aman Shrivastava, Lubaina Ehsan +3

In recent years, the availability of digitized Whole Slide Images (WSIs) has enabled the use of deep learning-based computer vision techniques for automated disease diagnosis. Howe…

eess.IV2019

Self-Attentive Adversarial Stain Normalization

Aman Shrivastava, Will Adorno, Yash Sharma +7

Hematoxylin and Eosin (H&E) stained Whole Slide Images (WSIs) are utilized for biopsy visualization-based diagnostic and prognostic assessment of diseases. Variation in the H&E sta…

q-bio.QM2019

Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease

Aman Shrivastava, Karan Kant, Saurav Sengupta +8

Physicians use biopsies to distinguish between different but histologically similar enteropathies. The range of syndromes and pathologies that could cause different gastrointestina…