Rich Semantics Improve Few-Shot Learning. - Mohamed Afham; Salman Khan 001; Muhammad Haris Khan; Muzammal Naseer; Fahad Shahbaz Khan (BMVC, 2021)

CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding. - Mohamed Afham; Isuru Dissanayake; Dinithi Dissanayake; Amaya Dharmasiri; Kanchana Thilakarathna; Ranga Rodrigo (CVPR, 2022)

Towards Accurate Cross-Domain in-Bed Human Pose Estimation. - Mohamed Afham; Udith Haputhanthri; Jathurshan Pradeepkumar; Mithunjha Anandakumar; Ashwin De Silva; Chamira U. S. Edussooriya (ICASSP, 2022)

Visual-Semantic Contrastive Alignment for Few-Shot Image Classification. - Mohamed Afham; Ranga Rodrigo (CoRR, 2022)

3DLatNav: Navigating Generative Latent Spaces for Semantic-Aware 3D Object Manipulation. - Amaya Dharmasiri; Dinithi Dissanayake; Mohamed Afham; Isuru Dissanayake; Ranga Rodrigo; Kanchana Thilakarathna (CoRR, 2022)

Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding. - Mohamed Afham; Satya Narayan Shukla; Omid Poursaeed; Pengchuan Zhang; Ashish Shah; Sernam Lim (ICCV (Workshops), 2023)

A Feature Generator for Few-Shot Learning. - Heethanjan Kanagalingam; Thenukan Pathmanathan; Navaneethan Ketheeswaran; Mokeeshan Vathanakumar; Mohamed Afham; Ranga Rodrigo (ACCV (1), 2024)