Bayesian Optimisation for a Biologically Inspired Population Neural Network. - Mahak Kothari; Swapna Sasi; Jun Chen 009; Elham Zareian; Basabdatta Sen Bhattacharya (CoRR, 2021)

Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field. - Mahak Kothari; Shreyansh Joshi; Adarsh Nandanwar; Aadetya Jaiswal; Veeky Baths (CoRR, 2021)

AG-ReID 2023: Aerial-Ground Person Re-identification Challenge Results. - Kien Nguyen 001; Clinton Fookes; Sridha Sridharan; Feng Liu 037; Xiaoming Liu 002; Arun Ross; Dana Michalski; Huy Nguyen; Debayan Deb; Mahak Kothari; Manisha Saini; Dawei Du; et al. (IJCB, 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)