Mostofa Rafid Uddin

According to our database, Mostofa Rafid Uddin authored at least 17 papers between 2020 and 2026.

Collaborative distances:

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

2026

Unsupervised SE(3) Disentanglement for in situ Macromolecular Morphology Identification from Cryo-Electron Tomography.

Mostofa Rafid Uddin, Mahek Vora, Qifeng Wu, Muyuan Chen, Min Xu

CoRR, January, 2026

DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects.

Mostofa Rafid Uddin, Jana Armouti, Umong Sain, Md. Asib Rahman, Xingjian Li, Min Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards molecular structure discovery from cryo-ET density volumes via modelling auxiliary semantic prototypes.

Ashwin R. Nair, Xingjian Li, Bhupendra Solanki, Souradeep Mukhopadhyay, Ankit Jha, Mostofa Rafid Uddin, Mainak Singha, Biplab Banerjee, Min Xu

Briefings Bioinform., January, 2025

Localization of macromolecules in crowded cellular cryo-electron tomograms from extremely sparse labels.

Mostofa Rafid Uddin, Ajmain Yasar Ahmed, H. M. Shadman Tabib, Md Toki Tahmid, Md. Zarif Ul Alam, Zachary Freyberg, Min Xu

Briefings Bioinform., 2025

Unsupervised Identification of Protein Compositions and Conformations Via Implicit Content-Transformation Disentanglement.

Mostofa Rafid Uddin, Jana Armouti, Min Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences.

Xingjian Li, Qiming Zhao, Neelesh Bisht, Mostofa Rafid Uddin, Jin Yu Kim, Bryan Zhang, Min Xu

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

2024

Training-free CryoET Tomogram Segmentation.

Yizhou Zhao, Hengwei Bian, Michael Mu, Mostofa Rafid Uddin, Zhenyang Li, Xiang Li, Tianyang Wang, Min Xu

CoRR, 2024

Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates.

Shirley Kokane, Mostofa Rafid Uddin, Min Xu

CoRR, 2024

DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization.

Mostofa Rafid Uddin, Min Xu

CoRR, 2024

CryoSAM: Training-Free CryoET Tomogram Segmentation with Foundation Models.

Yizhou Zhao, Hengwei Bian, Michael Mu, Mostofa Rafid Uddin, Zhenyang Li, Xiang Li, Tianyang Wang, Min Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022

Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series.

Xiangrui Zeng, Ziqian Lin, Mostofa Rafid Uddin, Bo Zhou, Chao Cheng, Jing Zhang, Zachary Freyberg, Min Xu

J. Comput. Biol., 2022

Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization.

Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu

Bioinform., 2022

Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation.

Haoyi Zhu, Chuting Wang, Yuanxin Wang, Zhaoxin Fan, Mostofa Rafid Uddin, Xin Gao, Jing Zhang, Xiangrui Zeng, Min Xu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Active Learning for Cryo-Electron Tomography Classification.

Tianyang Wang, Bo Li, Jing Zhang, Xiangrui Zeng, Mostofa Rafid Uddin, Wei Wu, Min Xu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations.

Mostofa Rafid Uddin, Gregory Howe, Xiangrui Zeng, Min Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Practical Analysis of Macromolecule Identity from Cryo-electron Tomography Images using Deep Learning.

Mostofa Rafid Uddin, Ajmain Yasar Ahmed, Md. Kafi Khan, Md Shahrar Fatemi, Xiangrui Zeng, Min Xu

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2020

SAINT: self-attention augmented inception-inside-inception network improves protein secondary structure prediction.

Mostofa Rafid Uddin, Sazan Mahbub, Mohammad Saifur Rahman, Md. Shamsuzzoha Bayzid

Bioinform., 2020