Convolutional STN for Weakly Supervised Object Localization and Beyond. - Akhil Meethal; Marco Pedersoli; Soufiane Belharbi; Eric Granger (CoRR, 2019)

Convolutional STN for Weakly Supervised Object Localization. - Akhil Meethal; Marco Pedersoli; Soufiane Belharbi; Eric Granger (ICPR, 2020)

Unsupervised MKL in Multi-layer Kernel Machines. - Akhil Meethal; Asharaf S; Sumitra S (CoRR, 2021)

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. - Akhil Meethal; Marco Pedersoli; Zhongwen Zhu; Francisco Perdigon Romero; Eric Granger (IJCNN, 2022)

Cascaded Zoom-in Detector for High Resolution Aerial Images. - Akhil Meethal; Eric Granger; Marco Pedersoli (CVPR Workshops, 2023)

Density Crop-guided Semi-supervised Object Detection in Aerial Images. - Akhil Meethal; Eric Granger; Marco Pedersoli (CoRR, 2023)

Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean Teacher. - Atif Belal; Akhil Meethal; Francisco Perdigon Romero; Marco Pedersoli; Eric Granger (WACV, 2024)

Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptive Object Detection. - Atif Belal; Akhil Meethal; Francisco Perdigon Romero; Marco Pedersoli; Eric Granger (CoRR, 2024)

CALM: Cognitive Assessment using Light-insensitive Model. - Akhil Meethal; Anita Paas; Nerea Urrestilla Anguiozar; David St-Onge (CoRR, 2024)

Attention-Based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors. - Atif Belal; Akhil Meethal; Francisco Perdigon Romero; Marco Pedersoli; Eric Granger (WACV, 2025)