Richa Upadhyay

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Structured Sparsity

Multitask Learning

Stereoscopic Images

Top Venues

ECCV Workshops (7)

Publications

Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
Giving each task what it needs - leveraging structured sparsity for tailored multi-task learning. CoRR (2024)
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
Less is More - Towards parsimonious multi-task models using structured sparsity. CoRR (2023)
Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
Multi-Task Meta Learning: learn how to adapt to unseen tasks. IJCNN (2023)
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)
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)
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 (2023)
Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
Multi-Task Meta Learning: learn how to adapt to unseen tasks. CoRR (2022)
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 (2022)
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)
Konstantina Nikolaidou, Richa Upadhyay, Mathias Seuret, Marcus Liwicki
Investigating the Effect of Using Synthetic and Semi-synthetic Images for Historical Document Font Classification. DAS (2022)
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 (2022)
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 (2022)
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)
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)
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
Sharing to learn and learning to share - Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning : A meta review. CoRR (2021)
Nieves Crasto, Richa Upadhyay
Wavelet Decomposition Based Automatic Sleep Stage Classification Using EEG. IWBBIO (1) (2017)