Prashant Pandey

According to our database, Prashant Pandey authored at least 12 papers between 2018 and 2023.

Collaborative distances:

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

2023

Robust Prototypical Few-Shot Organ Segmentation With Regularized Neural-ODEs.

Prashant Pandey, Mustafa Chasmai, Tanuj Sur, Brejesh Lall

IEEE Trans. Medical Imaging, September, 2023

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

Prashant Pandey, Mustafa Chasmai, Monish Natarajan, Brejesh Lall

CoRR, 2023

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

Prashant Pandey, Mustafa Chasmai, Monish Natarajan, Brejesh Lall

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Adversarially Robust Prototypical Few-Shot Segmentation with Neural-ODEs.

Prashant Pandey, Aleti Vardhan, Mustafa Chasmai, Tanuj Sur, Brejesh Lall

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Domain Generalization via Inference-time Label-Preserving Target Projections.

Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP

CoRR, 2021

Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections.

Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Target-Independent Domain Adaptation for WBC Classification Using Generative Latent Search.

Prashant Pandey, Prathosh A. P., Vinay Kyatham, Deepak Mishra, Tathagato Rai Dastidar

IEEE Trans. Medical Imaging, 2020

Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors.

Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP

CoRR, 2020

Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search.

Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, Prathosh AP

CoRR, 2020

Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images Through Generative Latent Search.

Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, A. P. Prathosh

Proceedings of the Computer Vision - ECCV 2020, 2020

Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism.

Prashant Pandey, Prathosh AP, Manu Kohli, Josh Pritchard

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

NEMGAN: Noise Engineered Mode-matching GAN.

Deepak Mishra, A. P. Prathosh, Aravind Jayendran, Prashant Pandey, Santanu Chaudhury

CoRR, 2018