Prashant Pandey

About Prashant Pandey

Prashant Pandey, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Indian Institute of Technology Delhi, specializes in the field of Deep Learning, Low-shot Learning, Self-Supervised Learning, Domain Adaptation, Adversarial Robustness.

His recent articles reflect a diverse array of research interests and contributions to the field:

Weakly Supervised Few-Shot and Zero-Shot Semantic Segmentation with Mean Instance Aware Prompt Learning

A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic Segmentation

Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs

Adversarially robust prototypical few-shot segmentation with neural-odes

Contrastive semi-supervised learning for 2D medical image segmentation

Generalization on unseen domains via inference-time label-preserving target projections

Guided weak supervision for action recognition with scarce data to assess skills of children with autism

Unsupervised domain adaptation for semantic segmentation of NIR images through generative latent search

Prashant Pandey Information

University

Position

___

Citations(all)

141

Citations(since 2020)

141

Cited By

13

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Indian Institute of Technology Delhi

Google Scholar

View Google Scholar Profile

Prashant Pandey Skills & Research Interests

Deep Learning

Low-shot Learning

Self-Supervised Learning

Domain Adaptation

Adversarial Robustness

Top articles of Prashant Pandey

Title

Journal

Author(s)

Publication Date

Weakly Supervised Few-Shot and Zero-Shot Semantic Segmentation with Mean Instance Aware Prompt Learning

Prashant Pandey

Mustafa Chasmai

Monish Natarajan

Brejesh Lall

2023/7/10

A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic Segmentation

arXiv preprint arXiv:2302.14163

Prashant Pandey

Mustafa Chasmai

Monish Natarajan

Brejesh Lall

2023/2/27

Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs

IEEE Transactions on Medical Imaging

Prashant Pandey

Mustafa Chasmai

Tanuj Sur

Brejesh Lall

2023/3/16

Adversarially robust prototypical few-shot segmentation with neural-odes

Prashant Pandey

Aleti Vardhan

Mustafa Chasmai

Tanuj Sur

Brejesh Lall

2022/9/16

Contrastive semi-supervised learning for 2D medical image segmentation

arXiv preprint arXiv:2106.06801

Prashant Pandey

Ajey Pai

Nisarg Bhatt

Prasenjit Das

Govind Makharia

...

2021/6/12

Generalization on unseen domains via inference-time label-preserving target projections

Prashant Pandey

Mrigank Raman

Sumanth Varambally

Prathosh Ap

2021

Guided weak supervision for action recognition with scarce data to assess skills of children with autism

Proceedings of the AAAI Conference on Artificial Intelligence

Prashant Pandey

AP Prathosh

Manu Kohli

Josh Pritchard

2020/4/3

Unsupervised domain adaptation for semantic segmentation of NIR images through generative latent search

Computer Vision and Image Understanding

Zhijie Wang

Xing Liu

Masanori Suganuma

Takayuki Okatani

2023/9/1

Discrepancy minimization in domain generalization with generative nearest neighbors

arXiv preprint arXiv:2007.14284

Prashant Pandey

Mrigank Raman

Sumanth Varambally

Prathosh AP

2020/7/28

Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search

IEEE Transactions on Medical Imaging

Prashant Pandey

Vinay Kyatham

Deepak Mishra

Tathagato Rai Dastidar

2020/7/13

See List of Professors in Prashant Pandey University(Indian Institute of Technology Delhi)