Prakash Chandra Chhipa

According to our database, Prakash Chandra Chhipa authored at least 14 papers between 2021 and 2023.

Collaborative distances:

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

2023

Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery.

Muskaan Chopra, Prakash Chandra Chhipa, Gopal Mengi, Varun Gupta, Marcus Liwicki

CoRR, 2023

Functional Knowledge Transfer with Self-supervised Representation Learning.

Prakash Chandra Chhipa, Muskan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki

CoRR, 2023

A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions.

Gustav Grund Pihlgren, Konstantina Nikolaidou, Prakash Chandra Chhipa, Nosheen Abid, Rajkumar Saini, Fredrik Sandin, Marcus Liwicki

CoRR, 2023

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images.

Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Multi-Task Meta Learning: learn how to adapt to unseen tasks.

Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki

Proceedings of the International Joint Conference on Neural Networks, 2023

Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images.

Ekta Gupta, Varun Gupta, Muskaan Chopra, Prakash Chandra Chhipa, Marcus Liwicki

Proceedings of the International Joint Conference on Neural Networks, 2023

Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery.

Muskaan Chopra, Prakash Chandra Chhipa, Gopal Mengi, Varun Gupta, Marcus Liwicki

Proceedings of the International Joint Conference on Neural Networks, 2023

Functional Knowledge Transfer with Self-supervised Representation Learning.

Prakash Chandra Chhipa, Muskaan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki

Proceedings of the IEEE International Conference on Image Processing, 2023

Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?

Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep Neural Network approaches for Analysing Videos of Music Performances.

Foteini Simistira Liwicki, Richa Upadhyay, Prakash Chandra Chhipa, Killian Murphy, Federico Visi, Stefan Östersjö, Marcus Liwicki

CoRR, 2022

Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification.

Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Emotions Classification Using EEG in Health Care.

Sumit Rakesh, Foteini Liwicki, Hamam Mokayed, Richa Upadhyay, Prakash Chandra Chhipa, Vibha Gupta, Kanjar De, György Kovács, Dinesh Singh, Rajkumar Saini

Proceedings of the Computer Vision and Machine Intelligence, 2022

2021

Imagined Object Recognition Using EEG-Based Neurological Brain Signals.

Rajkumar Saini, Sameer Prabhu, Richa Upadhyay, Sumit Rakesh, Prakash Chandra Chhipa, Hamam Mokayed, Marcus Liwicki, Foteini Liwicki

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2021

Detecting COVID-19 from Audio Recording of Coughs Using Random Forests and Support Vector Machines.

Isabella Södergren, Maryam Pahlavan Nodeh, Prakash Chandra Chhipa, Konstantina Nikolaidou, György Kovács

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021