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Muhammad Abdullah Jamal
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2020 – today
- 2024
- [c8]Muhammad Abdullah Jamal, Omid Mohareri:
M33D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding. WACV 2024: 2532-2542 - [i8]Ali Mottaghi, Muhammad Abdullah Jamal, Serena Yeung, Omid Mohareri:
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space. CoRR abs/2401.12421 (2024) - [i7]Muhammad Abdullah Jamal, Omid Mohareri:
Rethinking RGB-D Fusion for Semantic Segmentation in Surgical Datasets. CoRR abs/2407.19714 (2024) - 2023
- [c7]Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri:
ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room. MIDL 2023: 1254-1268 - [i6]Muhammad Abdullah Jamal, Omid Mohareri:
SurgMAE: Masked Autoencoders for Long Surgical Video Analysis. CoRR abs/2305.11451 (2023) - [i5]Muhammad Abdullah Jamal, Omid Mohareri:
M33D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding. CoRR abs/2309.15313 (2023) - [i4]Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri:
ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room. CoRR abs/2312.12250 (2023) - 2022
- [c6]Muhammad Abdullah Jamal, Omid Mohareri:
Multi-modal Unsupervised Pre-training for Surgical Operating Room Workflow Analysis. MICCAI (8) 2022: 453-463 - [c5]Zhuohong He, Ali Mottaghi, Aidean Sharghi, Muhammad Abdullah Jamal, Omid Mohareri:
An Empirical Study on Activity Recognition in Long Surgical Videos. ML4H@NeurIPS 2022: 356-372 - [i3]Muhammad Abdullah Jamal, Omid Mohareri:
Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis. CoRR abs/2207.07894 (2022) - 2021
- [c4]Muhammad Abdullah Jamal, Liqiang Wang, Boqing Gong:
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning. ICCV 2021: 6557-6566 - 2020
- [c3]Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective. CVPR 2020: 7607-7616 - [i2]Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective. CoRR abs/2003.10780 (2020)
2010 – 2019
- 2019
- [c2]Muhammad Abdullah Jamal, Guo-Jun Qi
:
Task Agnostic Meta-Learning for Few-Shot Learning. CVPR 2019: 11719-11727 - 2018
- [c1]Muhammad Abdullah Jamal, Haoxiang Li, Boqing Gong:
Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting. CVPR 2018: 5608-5618 - [i1]Muhammad Abdullah Jamal, Guo-Jun Qi, Mubarak Shah:
Task-Agnostic Meta-Learning for Few-shot Learning. CoRR abs/1805.07722 (2018) - 2017
- [j1]Shafaq Mussadiq, Rehan Hafiz
, Muhammad Abdullah Jamal:
Confined projection on selected sub-surface using a robust binary-coded pattern for pico-projectors. Multim. Syst. 23(2): 207-222 (2017)
Coauthor Index
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last updated on 2024-08-22 20:51 CEST by the dblp team
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