Muhammad Abdullah Jamal

According to our database, Muhammad Abdullah Jamal authored at least 24 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SUREON: A Benchmark and Vision-Language-Model for Surgical Reasoning.

Alejandra Pérez, Anita Rau, Lee White, Busisiwe Mlambo, Chinedu Innocent Nwoye, Muhammad Abdullah Jamal, Omid Mohareri

CoRR, March, 2026

On the Role of Depth in Surgical Vision Foundation Models: An Empirical Study of RGB-D Pre-training.

John J. Han, Adam Schmidt, Muhammad Abdullah Jamal, Chinedu Nwoye, Anita Rau, Jie Ying Wu, Omid Mohareri

CoRR, January, 2026

Multimodal Masked Point Distillation for 3D Representation Learning.

Muhammad Abdullah Jamal, Omid Mohareri

Trans. Mach. Learn. Res., 2026

SurgLaVi: Large-scale hierarchical dataset for surgical vision-language representation learning.

Alejandra Pérez, Chinedu Innocent Nwoye, Ramtin Raji Kermani, Omid Mohareri, Muhammad Abdullah Jamal

Medical Image Anal., 2026

2025

Mitigating Surgical Data Imbalance with Dual-Prediction Video Diffusion Model.

Danush Kumar Venkatesh, Adam Schmidt, Muhammad Abdullah Jamal, Omid Mohareri

CoRR, October, 2025

SurgLaVi: Large-Scale Hierarchical Dataset for Surgical Vision-Language Representation Learning.

Alejandra Pérez, Chinedu Nwoye, Ramtin Raji Kermani, Omid Mohareri, Muhammad Abdullah Jamal

CoRR, September, 2025

Multi-view Video-Pose Pretraining for Operating Room Surgical Activity Recognition.

Idris Hamoud, Vinkle Srivastav, Muhammad Abdullah Jamal, Didier Mutter, Omid Mohareri, Nicolas Padoy

CoRR, February, 2025

Multi-Modal Contrastive Masked Autoencoders: A Two-Stage Progressive Pre-training Approach for RGBD Datasets.

Muhammad Abdullah Jamal, Omid Mohareri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

VidLPRO: A Video-Language Pre-training Framework for Robotic and Laparoscopic Surgery.

Mohammadmahdi Honarmand, Muhammad Abdullah Jamal, Omid Mohareri

CoRR, 2024

Curriculum learning based pre-training using Multi-Modal Contrastive Masked Autoencoders.

Muhammad Abdullah Jamal, Omid Mohareri

CoRR, 2024

AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space.

Ali Mottaghi, Muhammad Abdullah Jamal, Serena Yeung, Omid Mohareri

CoRR, 2024

M³3D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding.

Muhammad Abdullah Jamal, Omid Mohareri

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Rethinking RGB-D Fusion for Semantic Segmentation in Surgical Datasets.

Muhammad Abdullah Jamal, Omid Mohareri

Proceedings of the Machine Learning for Health, 2024

2023

ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room.

Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri

CoRR, 2023

SurgMAE: Masked Autoencoders for Long Surgical Video Analysis.

Muhammad Abdullah Jamal, Omid Mohareri

CoRR, 2023

ST(OR)²: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room.

Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

An Empirical Study on Activity Recognition in Long Surgical Videos.

Zhuohong He, Ali Mottaghi, Aidean Sharghi, Muhammad Abdullah Jamal, Omid Mohareri

Proceedings of the Machine Learning for Health, 2022

Multi-modal Unsupervised Pre-training for Surgical Operating Room Workflow Analysis.

Muhammad Abdullah Jamal, Omid Mohareri

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning.

Muhammad Abdullah Jamal, Liqiang Wang, Boqing Gong

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective.

Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Task Agnostic Meta-Learning for Few-Shot Learning.

Muhammad Abdullah Jamal, Guo-Jun Qi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Task-Agnostic Meta-Learning for Few-shot Learning.

Muhammad Abdullah Jamal, Guo-Jun Qi, Mubarak Shah

CoRR, 2018

Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting.

Muhammad Abdullah Jamal, Haoxiang Li, Boqing Gong

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Confined projection on selected sub-surface using a robust binary-coded pattern for pico-projectors.

Shafaq Mussadiq, Rehan Hafiz, Muhammad Abdullah Jamal

Multim. Syst., 2017