Histopathological Image Classification: Defying Deep Architectures on Complex Data. - Suvidha Tripathi; Satish Kumar Singh (RTIP2R (2), 2018)

Ensembling handcrafted features with deep features: an analytical study for classification of routine colon cancer histopathological nuclei images. - Suvidha Tripathi; Satish Kumar Singh (Multim. Tools Appl., 2020)

Cell Nuclei Classification in Histopathological Images using Hybrid O L ConvNet. - Suvidha Tripathi; Satish Kumar Singh (ACM Trans. Multim. Comput. Commun. Appl., 2020)

An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification. - Suvidha Tripathi; Satish Kumar Singh; Hwee Kuan Lee (Comput. Medical Imaging Graph., 2021)

Cell nuclei classification in histopathological images using hybrid OLConvNet. - Suvidha Tripathi; Satish Kumar Singh (CoRR, 2022)

An Object Aware Hybrid U-Net for Breast Tumour Annotation. - Suvidha Tripathi; Satish Kumar Singh (CoRR, 2022)

Bag of Visual Words (BoVW) with Deep Features - Patch Classification Model for Limited Dataset of Breast Tumours. - Suvidha Tripathi; Satish Kumar Singh; Hwee Kuan Lee (CoRR, 2022)

MUNCH: Modelling Unique 'N Controllable Heads. - Debayan Deb; Suvidha Tripathi; Pranit Puri (MIG, 2023)

FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. - Pietro Melzi; Ruben Tolosana; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Ivan DeAndres-Tame; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Weisong Zhao; Xiangyu Zhu 001; et al. (WACV (Workshops), 2024)

FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems. - Pietro Melzi; Ruben Tolosana; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Ivan DeAndres-Tame; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Weisong Zhao; Xiangyu Zhu 001; et al. (Inf. Fusion, 2024)