publications

publications by categories in reversed chronological order.

2024

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    Möbius Transform for Mitigating Perspective Distortions in Representation Learning
    Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, and Mubarak Shah
    European Conference on Computer Vision, 2024
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    Open-Vocabulary Object Detectors: Robustness Challenges under Distribution Shifts
    Prakash Chandra Chhipa, Kanjar De, Meenakshi Subhash Chippa, Rajkumar Saini, and Marcus Liwicki
    European Conference on Computer Vision Workshops, 2024

2023

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    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, and Marcus Liwicki
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , 2023
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    Can Self-Supervised Representation Learning MethodsWithstand Distribution Shifts and Corruptions?
    Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, and Marcus Liwicki
    In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops , 2023
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    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, and Marcus Liwicki
    In IEEE International Conference on Image Processing (ICIP) , 2023
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    Domain adaptable self-supervised representation learning on remote sensing satellite imagery
    Muskaan Chopra, Prakash Chandra Chhipa, Gopal Mengi, Varun Gupta, and Marcus Liwicki
    In International Joint Conference on Neural Networks (IJCNN) , 2023
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    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, and Marcus Liwicki
    In International Joint Conference on Neural Networks (IJCNN) , 2023
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    Multi-task meta learning: learn how to adapt to unseen tasks
    Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, and Marcus Liwicki
    In International Joint Conference on Neural Networks (IJCNN) , 2023

2022

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    Depth contrast: Self-supervised pretraining on 3dpm images for mining material classification
    Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjold, Seiichi Uchida, and Marcus Liwicki
    In European Conference on Computer Vision Workshops , 2022