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Suvidha Tripathi
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2020 – today
- 2024
- [j4]Pietro Melzi
, Ruben Tolosana
FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems. Inf. Fusion 107: 102322 (2024) - [c3]Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. WACV (Workshops) 2024: 892-901 - 2023
- [c2]Debayan Deb
MUNCH: Modelling Unique 'N Controllable Heads. MIG 2023: 14:1-14:11 - [i7]Debayan Deb, Suvidha Tripathi, Pranit Puri:
MUNCH: Modelling Unique 'N Controllable Heads. CoRR abs/2310.02753 (2023) - [i6]Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. CoRR abs/2311.10476 (2023) - 2022
- [i5]Suvidha Tripathi, Satish Kumar Singh:
Cell nuclei classification in histopathological images using hybrid OLConvNet. CoRR abs/2202.10177 (2022) - [i4]Suvidha Tripathi, Satish Kumar Singh:
An Object Aware Hybrid U-Net for Breast Tumour Annotation. CoRR abs/2202.10691 (2022) - [i3]Suvidha Tripathi, Satish Kumar Singh:
Ensembling Handcrafted Features with Deep Features: An Analytical Study for Classification of Routine Colon Cancer Histopathological Nuclei Images. CoRR abs/2202.10694 (2022) - [i2]Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee:
Bag of Visual Words (BoVW) with Deep Features - Patch Classification Model for Limited Dataset of Breast Tumours. CoRR abs/2202.10701 (2022) - 2021
- [j3]Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee:
An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification. Comput. Medical Imaging Graph. 87: 101838 (2021) - [i1]Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee:
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification. CoRR abs/2106.02864 (2021) - 2020
- [j2]Suvidha Tripathi, Satish Kumar Singh:
Ensembling handcrafted features with deep features: an analytical study for classification of routine colon cancer histopathological nuclei images. Multim. Tools Appl. 79(47): 34931-34954 (2020) - [j1]Suvidha Tripathi
Cell Nuclei Classification in Histopathological Images using Hybrid O L ConvNet. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 32:1-32:22 (2020)
2010 – 2019
- 2018
- [c1]Suvidha Tripathi, Satish Kumar Singh
Histopathological Image Classification: Defying Deep Architectures on Complex Data. RTIP2R (2) 2018: 361-370
Coauthor Index
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