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ORCIDPrakash Chandra Chhipa
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2020 – today
- 2024
[c13]Meenakshi Subhash Chippa, Prakash Chandra Chhipa
, Kanjar De, Marcus Liwicki, Rajkumar Saini:
LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion. ACCV (8) 2024: 175-191- [c12]Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, Mubarak Shah:
Möbius Transform for Mitigating Perspective Distortions in Representation Learning. ECCV (73) 2024: 345-363 - [c11]Rajkumar Saini, Richa Upadhyay, Vibha Gupta, Prakash Chandra Chhipa, Sumit Rakesh, Hamam Mokayed, Kanjar De, Foteini Simistira Liwicki, Debashis Das Chakladar:
An EEG Analysis Framework for Brain Disorder Classification Using Convolved Connectivity Features. ICFSP 2024: 158-162 - [i12]Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, Mubarak Shah:
Möbius Transform for Mitigating Perspective Distortions in Representation Learning. CoRR abs/2405.02296 (2024) - [i11]Prakash Chandra Chhipa, Kanjar De, Meenakshi Subhash Chippa, Rajkumar Saini, Marcus Liwicki:
Investigating Robustness of Open-Vocabulary Foundation Object Detectors under Distribution Shifts. CoRR abs/2405.14874 (2024) - [i10]Meenakshi Subhash Chippa, Prakash Chandra Chhipa, Kanjar De, Marcus Liwicki, Rajkumar Saini:
LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion. CoRR abs/2410.03686 (2024) - 2023
- [c10]Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki:
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? ICCV (Workshops) 2023: 4469-4478 - [c9]Prakash Chandra Chhipa, Muskaan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Functional Knowledge Transfer with Self-supervised Representation Learning. ICIP 2023: 3339-3343 - [c8]Muskaan Chopra, Prakash Chandra Chhipa, Gopal Mengi, Varun Gupta, Marcus Liwicki:
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery. IJCNN 2023: 1-8 - [c7]Ekta Gupta, Varun Gupta, Muskaan Chopra, Prakash Chandra Chhipa, Marcus Liwicki:
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images. IJCNN 2023: 1-7 - [c6]Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Multi-Task Meta Learning: learn how to adapt to unseen tasks. IJCNN 2023: 1-10 - [c5]Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images. WACV 2023: 2716-2726 - [i9]Gustav Grund Pihlgren, Konstantina Nikolaidou, Prakash Chandra Chhipa, Nosheen Abid, Rajkumar Saini, Fredrik Sandin, Marcus Liwicki:
A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions. CoRR abs/2302.04032 (2023) - [i8]Prakash Chandra Chhipa, Muskan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Functional Knowledge Transfer with Self-supervised Representation Learning. CoRR abs/2304.01354 (2023) - [i7]Muskaan Chopra, Prakash Chandra Chhipa, Gopal Mengi, Varun Gupta, Marcus Liwicki:
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery. CoRR abs/2304.09874 (2023) - [i6]Ekta Gupta, Varun Gupta, Muskaan Chopra, Prakash Chandra Chhipa, Marcus Liwicki:
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images. CoRR abs/2304.11168 (2023) - [i5]Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki:
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? CoRR abs/2308.02525 (2023) - 2022
- [c4]Sumit Rakesh, Foteini Liwicki, Hamam Mokayed, Richa Upadhyay, Prakash Chandra Chhipa, Vibha Gupta, Kanjar De, György Kovács, Dinesh Singh, Rajkumar Saini:
Emotions Classification Using EEG in Health Care. CVMI 2022: 37-49 - [c3]Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki:
Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification. ECCV Workshops (7) 2022: 212-227 - [i4]Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images. CoRR abs/2203.07707 (2022) - [i3]Foteini Simistira Liwicki, Richa Upadhyay, Prakash Chandra Chhipa, Killian Murphy, Federico Visi, Stefan Östersjö, Marcus Liwicki:
Deep Neural Network approaches for Analysing Videos of Music Performances. CoRR abs/2205.11232 (2022) - [i2]Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Multi-Task Meta Learning: learn how to adapt to unseen tasks. CoRR abs/2210.06989 (2022) - [i1]Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki:
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification. CoRR abs/2210.10633 (2022) - 2021
- [c2]Isabella Södergren, Maryam Pahlavan Nodeh, Prakash Chandra Chhipa, Konstantina Nikolaidou, György Kovács:
Detecting COVID-19 from Audio Recording of Coughs Using Random Forests and Support Vector Machines. Interspeech 2021: 916-920 - [c1]Rajkumar Saini, Sameer Prabhu, Richa Upadhyay, Sumit Rakesh, Prakash Chandra Chhipa, Hamam Mokayed, Marcus Liwicki, Foteini Liwicki:
Imagined Object Recognition Using EEG-Based Neurological Brain Signals. RTIP2R 2021: 305-319
Coauthor Index
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