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Mohamed Afham
Mohamed Afham
Technical University of Darmstadt
stud.tu-darmstadt.de의 이메일 확인됨 - 홈페이지
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CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
M Afham, I Dissanayake, D Dissanayake, A Dharmasiri, K Thilakarathna, ...
CVPR 2022, 2022
3162022
Rich Semantics Improve Few-shot Learning
M Afham, S Khan, MH Khan, M Naseer, FS Khan
32nd British Machine Vision Conference, 2021, 2021
282021
Towards Accurate Cross-Domain In-Bed Human Pose Estimation
M Afham, U Haputhanthri, J Pradeepkumar, M Anandakumar, A De Silva, ...
ICASSP 2022, 2022
112022
Visual-Semantic Contrastive Alignment for Few-Shot Image Classification
M Afham, R Rodrigo
European Conference on Computer Vision Workshops (ECCVW), 2022
62022
Revisiting kernel temporal segmentation as an adaptive tokenizer for long-form video understanding
M Afham, SN Shukla, O Poursaeed, P Zhang, A Shah, S Lim
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
UnCLe SAM: Unleashing SAM’s Potential for Continual Prostate MRI Segmentation
A Ranem, MAM Aflal, M Fuchs, A Mukhopadhyay
Medical Imaging with Deep Learning, 0
1
Feature Generator for Few-Shot Learning
H Kanagalingam, T Pathmanathan, N Ketheeswaran, M Vathanakumar, ...
Proceedings of the Asian Conference on Computer Vision, 3901-3916, 2024
2024
3DLatNav: Navigating Generative Latent Spaces for Semantic-Aware 3D Object Manipulation
A Dharmasiri, D Dissanayake, M Afham, I Dissanayake, R Rodrigo, ...
European Conference on Computer Vision Workshops (ECCVW), 2022
2022
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