Prakash Chandra Chhipa

Orcid: 0000-0002-6903-7552

According to our database1, Prakash Chandra Chhipa authored at least 15 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion.
CoRR, 2024

Investigating Robustness of Open-Vocabulary Foundation Object Detectors under Distribution Shifts.
CoRR, 2024

Möbius Transform for Mitigating Perspective Distortions in Representation Learning.
CoRR, 2024

2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions.
CoRR, 2023

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Multi-Task Meta Learning: learn how to adapt to unseen tasks.
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.
Proceedings of the International Joint Conference on Neural Networks, 2023

Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery.
Proceedings of the International Joint Conference on Neural Networks, 2023

Functional Knowledge Transfer with Self-supervised Representation Learning.
Proceedings of the IEEE International Conference on Image Processing, 2023

Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Deep Neural Network approaches for Analysing Videos of Music Performances.
CoRR, 2022

Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Emotions Classification Using EEG in Health Care.
Proceedings of the Computer Vision and Machine Intelligence, 2022

2021
Imagined Object Recognition Using EEG-Based Neurological Brain Signals.
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.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021


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