2025
[J31] Md. Ismail Hossain, M M Lutfe Elahi, Sameera Ramasinghe, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, and Shafin Rahman. Luminet: Perception-driven knowledge distillation via statistical logit calibration. Transactions on Machine Learning Research (TMLR), 2025. link code
[J30] Md. Nasim Ahmed, Dipta Neogi, Muhammad Rafsan Kabir, Shafin Rahman, Sifat Momen and Nabeel Mohammed. A triple pronged approach for ulcerative colitis severity classification using multimodal, meta, and transformer based learning. Scientific Reports15, 27205 (2025). link code
[J29] Md Fokhrul Islam, Sejuti Rahman and Shafin Rahman. "ReKon3D: Relation-Knowledge Aware Multi-Modal Embedding and Contrastive GAN for Zero-Shot 3D Recognition" Published in: Neurocomputing, 2025. [IF 5.5] link code
[J28] Md. Ismail Hossain, Mohammed Rakib, M. M. Lutfe Elahi, Nabeel Mohammed, Shafin Rahman, "COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks," Published in IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2025.3534745. link code
[J27] Safaeid Hossain Arib, Rabeya Akter, Sejuti Rahman and Shafin Rahman. SignFormer-GCN : Continuous Sign Language Translation Using Spatio-Temporal Graph Convolutional Networks. Published in: PLOS ONE, 2025. link code
[C59] Mohammad Junayed Hasan, Nabeel Mohammed, Shafin Rahman, and Philipp Koehn. "HadaSmileNet: Hadamard fusion of handcrafted and deep-learning features for enhancing facial emotion recognition of genuine smiles", Accepted In: IEEE International Conference on Data Mining (ICDM), 2025. link code.
[C58] Samiul Basir Bhuiyan, Md. Sazzad Hossain Adib, Mohammed Aman Bhuiyan, Muhammad Rafsan Kabir, Moshiur Farazi, Shafin Rahman, Nabeel Mohammed. "Z-Pruner: Post-Training Pruning of Large Language Models for Efficiency without Retraining", Accepted In: IEEE/ACS 22nd International Conference on Computer Systems and Applications (AICCSA), 2025. link code
[C57] Raiyan Ahmed, Intisar Tahmid Naheen, Yashfinul Haque, Md. Towsif Abir, Moshiur Farazi, Shafin Rahman. "Long-tailed Image Classification on the Specimens of Herbarium Dataset", Accepted In: the International Joint Conference on Neural Networks (IJCNN), 2025. link code
[C56] Mustafa Kamal, Niyaz Bin Hashem, Robin Krambroeckers, Nabeel Mohammed, Shafin Rahman. "Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction", Accepted In: the International Joint Conference on Neural Networks (IJCNN), 2025. link code
[C55] Rafin Hassan, Zarin Roshni, Rafiqul Bari, Alimul Islam, Nabeel Mohammed, Moshiur Farazi, Shafin Rahman. "Label Semantics for Robust Hyperspectral Image Classification", Accepted In: the International Joint Conference on Neural Networks (IJCNN), 2025. link code
[C54] Muhammad Rafsan Kabir, Rafeed Mohammad Sultan, Fuad Rahman, Mohammad Ruhul Amin, Sifat Momen, Nabeel Mohammed, Shafin Rahman. "LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval", Accepted In: the International Joint Conference on Neural Networks (IJCNN), 2025. link code
[C53] Hamidreza Dastmalchi, Aijun An, Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe. Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models. Published in: Winter Conference on Applications of Computer Vision (WACV), 2025. link code
2024
[J26] Sahar Ahmadi, Ali Cheraghian, Townim Faisal Chowdhury, Morteza Saberi, Shafin Rahman. 3D Scene Generation for Zero-shot Learning using ChatGPT guided Language Prompts, Computer Vision and Image Understanding (CVIU), 2024. [IF 4.3] link code
[J25] Mohammad Junayed Hasan, Kazi Rafat, Fuad Rahman, Nabeel Mohammed and Shafin Rahman. DeepMarkerNet: Leveraging Supervision from the Duchenne Marker for Spontaneous Smile Recognition, Pattern Recognition Letters, Volume 186, 2024, Pages 148-155, ISSN 0167-8655. [IF 3.9] link code
[J24] Iman Hosseini, Md Zakir Hossain, Yuhao Zhang, Shafin Rahman, Deep learning model for simultaneous recognition of quantitative and qualitative emotion using visual and bio-sensing data, Computer Vision and Image Understanding (CVIU), 2024, 104121, ISSN 1077-3142. [IF 4.3] link code
[J23] Md Tahmeed Abdullah, Sejuti Rahman, Shafin Rahman, Md Fokhrul Islam, VAE-GAN3D: Leveraging image-based semantics for 3D zero-shot recognition, Image and Vision Computing, 2024, 105049, ISSN 0262-8856. [IF 4.2] link
[J22] Yefeng Shen, Md Zakir Hossain, Khandaker Asif Ahmed, and Shafin Rahman, An open set model for pest identification, Computational Biology and Chemistry, Volume 108, 2024, 108002, ISSN 1476-9271. [IF 2.6] link
[J21] Swakshar Deb, Shafin Rahman, and Sejuti Rahman, GA-GWNN: Generalized Adaptive Graph Wavelet Neural Network, Pattern Recognition Letters, Volume 177, 2024, Pages 128-134, ISSN 0167-8655. [IF 3.9] link code
[J20] Yan Yang, Md Zakir Hossain, Eric Stone, and Shafin Rahman. Spatial transcriptomics analysis of gene expression prediction using exemplar guided graph neural network, Pattern Recognition, Volume 145, 2024, 109966, ISSN 0031-3203. [IF 7.5] link code
[C52] Jawad Ibn Ahad, Rafeed Mohammad Sultan, Abraham Kaikobad, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, and Shafin Rahman. Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis. Published in: IEEE International Conference on Big Data, 2024. link code
[C51] Md. Nazmus Sadat Samin, Jawad Ibn Ahad, Tanjila Ahmed Medha, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, and Shafin Rahman. BanglaDialecto: An End-to-End AI-Powered Regional Speech Standardization, Published in: IEEE International Conference on Big Data, 2024. link
[C50] Sahar Ahmadi, Ali Cheraghian, Morteza Saberi, Md.Towsif Abir, Hamidreza Dastmalchi, Farookh Hussain and Shafin Rahman. Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor, Published In: Asian Conference on Computer Vision (ACCV), 2024. link code
[C49] Amrijit Biswas, Md Zakir Hossain, Yan Yang, Syed Mohammed Shamsul Islam, Tom Gedeon and Shafin Rahman. "Domain Adaptation for Classifying Spontaneous Smile Videos." Published in: International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2024. link
[C48] Md Zakir Hossain, Zi Jin, Tom Gedeon, Amrijit Biswas, Ruchira Tabassum, Fahimul Hoque Shubho, Shafin Rahman. "Aggregated Fuzzy Signature Structures for Multi-class Medical Diagnosis", Published in: International Conference on Neural Information Processing (ICONIP), 2024. link code
[C47] Md Zakir Hossain, Jieli Zheng, Md Ayshik Rahman Khan, Shafin Rahman, Tom Gedeon. "Generating Realistic Images: Leveraging Frozen Large Diffusion Models", Published in: International Conference on Neural Information Processing (ICONIP), 2024. link
[C46] Muhammad Rafsan Kabir, Rafeed Mohammad Sultan, Ihsanul Haque Asif, Jawad Ibn Ahad, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, Shafin Rahman. "Beyond Labels: Aligning Large Language Models with Human-like Reasoning". Published in: International Conference on Pattern Recognition (ICPR), 2024. link code
[C45] Amrijit Biswas, Md. Ismail Hossain, M M Lutfe Elahi, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, and Shafin Rahman. "3D Point Cloud Network Pruning: When Some Weights Do not Matter", Published in: British Machine Vision Conference (BMVC), 2024. link code
[C44] Yan Yang, Md Zakir Hossain, Xuesong Li, Shafin Rahman, and Eric Stone. "Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction" Published in: 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024. link code
[C43] Ali Cheraghian, Zeeshan Hayder, Sameeea Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson and Mehrtash Harandi . Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning, Published in: European Conference on Computer Vision (ECCV), 2024. link code
[C42] Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi. "Backpropagation-free Network for 3D Test-time Adaptation" Published in: Conference on Computer Vision and Pattern Recognition (CVPR), 2024. link code
[C41] Md Rakibul Hasan, Md Zakir Hossain, Tom Gedeon, and Shafin Rahman. "LLM-GEm: Large Language Model-Guided Prediction of People's Empathy Levels towards Newspaper Article", The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL) 2024. link code
[C40] Swakshar Deb, Sejuti Rahman and Shafin Rahman. "SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network", Published in: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024. link code
[C39] Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi. "Continual Test-time Domain Adaptation via Dynamic Sample Selection". Published in: Winter Conference on Applications of Computer Vision (WACV), 2024. link
[J19] H.M. Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady Mohamed, Saeid Nahavandi, U. Rajendra Acharya, Uncertainty aware neural network from similarity and sensitivity, Applied Soft Computing, 2023, 111027, ISSN 1568-4946. [IF 7.2] link code
[J18] Kazi Rafat, Sadia Islam, Abdullah Al Mahfug, Md. Ismail Hossain, Fuad Rahman, Sifat Momen, Shafin Rahman, and Nabeel Mohammed. Mitigating carbon footprint for knowledge distillation based deep learning model compression. Published in: PLOS ONE, 2023. link code
[C38] Fahimul Hoque Shubho, Townim Faisal Chowdhury, Ali Cheraghian, Morteza Saberi, Nabeel Mohammed, and Shafin Rahman. "ChatGPT-guided Semantics for Zero-shot Learning." Published in: International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2023. link code
[C37] Md Rakibul Hasan, Md Zakir Hossain, Tom Gedeon, Susannah Soon, and Shafin Rahman. 2023. Curtin OCAI at WASSA 2023 Empathy, Emotion and Personality Shared Task: Demographic-Aware Prediction Using Multiple Transformers. In Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 536–541, Toronto, Canada. Association for Computational Linguistics (ACL). link code
[C36] Amrijit Biswas, Jingjie Li, Fahimul Hoque Shubho, Tom Gedeon, Shafin Rahman, and Md Zakir Hossain. "Personality perception using scenario based stimulation and physiological signals". Published In: IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023. link
[C35] Boran Yang, Md Zakir Hossain, and Shafin Rahman, "SS-Faster-RCNN: A Domain Adaptation-Based Method to Detect Whether People Wear Masks Correctly", Published In: the International Joint Conference on Neural Networks (IJCNN), 2023. link code
[C34] Tahsin Tariq Banna, Swakshar Deb, Sejuti Rahman and Shafin Rahman, "GEMM: A Graph Embedded Model for Memorability Prediction", Published In: the International Joint Conference on Neural Networks (IJCNN), 2023. link code
[C33] Yan Yang, Md Zakir Hossain, Eric Stone, and Shafin Rahman. "Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction ". Published in: Winter Conference on Applications of Computer Vision (WACV), 2023. link code [Won Best Applications Paper Award]
[J17] Ali Cheraghian, Shafin Rahman, Townim F. Chowdhury, Dylan Campbell, and Lars Petersson. "Zero-Shot Learning on 3D Point Cloud Objects and Beyond." Published in: International Journal of Computer Vision (IJCV), 2022. [IF 14.5] link code
[J16] Shafin Rahman, Salman Khan, Nick Barnes. Polarity Loss: Improving Visual-Semantic Alignment for Zero-Shot Detection. Published in: IEEE Transactions on Neural Networks and Learning Systems, 2022. [IF 10.2] link
[J15] Swakshar Deb, Md Fokhrul Islam, Shafin Rahman and Sejuti Rahman, "Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises", Published in: The IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), vol. 30, pp. 410-419, 2022. [IF 4.8] link code
[C32] Md. Tahrim Faroque Tushar, Yan Yang, Md Zakir Hossain, Sheikh Motahar Naim, Nabeel Mohammed and Shafin Rahman. "Less is More: Facial Landmarks can Recognize a Spontaneous Smile", Published in: British Machine Vision Conference (BMVC), 2022. link code
[C31] Nasiri Majid, Ali Cheraghian, Townim Faisal Chowdhury, Sahar Ahmadi, Morteza Saberi, and Shafin Rahman. "Prompt-guided Scene Generation for 3D Zero-Shot Learning." Published in: International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2022. link code [Won Runner-up APRS/IAPR Best Paper Award]
[C30] Townim Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, and Shafin Rahman. "Few-shot Class-incremental Learning for 3D Point Cloud Objects." Published in: European Conference on Computer Vision (ECCV), 2022. link code
[C29] Md Sazzad Hossain, Pritom Saha, Townim Faisal Chowdhury, Shafin Rahman, Fuad Rahman, Nabeel Mohammed. "Rethinking Task-Incremental Learning Baselines". Published in: International Conference on Pattern Recognition (ICPR), 2022. link code
[C28] Yan Yang, Md Zakir Hossain, Tom Gedeon, and Shafin Rahman. "S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation". Accepted in: Winter Conference on Applications of Computer Vision (WACV), 2022. link code
[J14] Shafin Rahman. "Zero-shot learning: recognition, tagging, and detection of novel concepts", Published in: Journal & Proceedings of the Royal Society of New South Wales, vol. 154, part 2, 2021, pp. 254–255. ISSN 0035-9173/21/020254-02 . link
[C27] Mehedi Hasan Bijoy, Nirob Hasan, Md. Tahrim Faroque Tushar and Shafin Rahman, "Image Tagging by Fine-tuning Class Semantics Using Text Data from Web Scraping," 24th International Conference on Computer and Information Technology (ICCIT), 2021, doi: 10.1109/ICCIT54785.2021.9689793. link
[C26] Juwel Rana, Townim Faisal Chowdhury, Shafin Rahman, John Oldroyd, and Rakibul Islam. "Artificial Neural Network Models for Lipid Profile Prediction in the US General Population." Circulation 144, no. Suppl_1 (2021): A12546-A12546. link demo [Won Paul Dudley White International Scholar Award from AHA]
[C25] Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, and Mehrtash Harandi, “Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces”, Published in: IEEE International Conference on Computer Vision (ICCV), 2021. link
[C24] Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, and Mehrtash Harandi . "Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning", Published in: Conference on Computer Vision and Pattern Recognition (CVPR), 2021. link
[C23] Yuhao Zhang, Yue Yao, Md Zakir Hossain, Shafin Rahman and Tom Gedeon. "EEG Feature Significance Analysis", Published in: International Conference on Neural Information Processing (ICONIP), 2021. link
[C22] Yuhao Zhang, Md Zakir Hossain, and Shafin Rahman. "DeepVANet: A Deep End-to-End Network for Multi-modal Emotion Recognition", Published in: INTERACT 2021 -18th IFIP TC. 13 International Conference on Human-Computer Interaction, 2021. link code
[C21] Yefeng Shen, Md Zakir Hossain, Shafin Rahman, and Khandaker Asif Ahmed. "Systematics of Tephritid Fruit Flies: A Machine Learning Based Pest Identification System", Published in: The 1st International Electronic Conference on Entomology, 2021. link code
[C20] Townim Chowdhury, Mahira Jalisha, Ali Cheraghian, and Shafin Rahman. "Learning without Forgetting for 3D Point Cloud Objects", Published in: International Work-Conference on Artificial and Natural Neural Networks, (IWANN), 2021. link code
[J13] Shafin Rahman, Salman H. Khan, and Fatih Porikli. “Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts", Published in: International Journal of Computer Vision (IJCV), 2020. [IF 14.5] link
[C19] Shafin Rahman, Sejuti Rahman, Omar Shahid, Md. Tahmeed Abdullah, and Jubair Ahmed Sourov. "Classifying Eye-Tracking Data Using Saliency Maps ", Published In: 25th International Conference on Pattern Recognition (ICPR), 2020. link code
[C18] Shafin Rahman, Salman Khan, Nick Barnes, and Fahad Shahbaz Khan. "Any-Shot Object Detection", Published In: Asian Conference on Computer Vision (ACCV), 2020. link
[C17] Yan Yang, Md Zakir Hossain, Tom Gedeon, and Shafin Rahman. "RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition", Published In: Asian Conference on Computer Vision (ACCV), 2020. link
[C16] Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman Khan, Syed Waqas Zamir, and Fahad Shahbaz Khan. "Synthesizing the Unseen for Zero-shot Object Detection", Published In: Asian Conference on Computer Vision (ACCV), 2020. link
[C15] Ali Cheraghian, Shafin Rahman, Dylan Campbell and Lars Petersson. "Transductive Zero-Shot Learning for 3D Point Cloud Classification", Published in: Winter Conference on Applications of Computer Vision (WACV), 2020. link
[C14] Shafin Rahman, Salman H. Khan, and Nick Barnes. "Improved Visual-Semantic Alignment for Zero-Shot Object Detection", Published in: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020. link
[J12] Shafin Rahman, Salman H. Khan, and Nick Barnes. “Deep0Tag: Deep Multiple Instance Learning for Zero-shot Image Tagging", Published in: IEEE Transactions on Multimedia (TMM), 2019. [IF 8.4] link
[C13] Shafin Rahman, Salman H. Khan, and Nick Barnes. "Transductive Learning for Zero-Shot Object Detection", Published in: International Conference on Computer Vision (ICCV), 2019. [Oral, within top 4.3%] link
[C12] Ali Cheraghian, Shafin Rahman, Dylan Campbell and Lars Petersson, ''Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects'', Published In: The British Machine Vision Conference (BMVC), 2019. link
[C11] Ali Cheraghian, Shafin Rahman, and Lars Petersson. "Zero-shot Learning of 3D Point Cloud Objects," Published In: International Conference on Machine Vision Applications (MVA), Tokyo, Japan, May 2019. link
[J11] Shafin Rahman, Salman Khan and Fatih Porikli, “A unified approach for conventional zero-shot, generalized zero-shot and few-shot learning", Published in: IEEE Transaction on Image Processing (TIP), Nov. 2018. [IF 10.8] link
[J10] Robert Kromer, Brendan Eck, Shafin Rahman and Carsten Framme, “Ocular Blood Volume Index Based on Scattering Properties of Retinal Vessels Using Spectral Domain Optical Coherence Tomography", Published in: Current eye research, Oct. 2018. [IF 2.555] link
[C10] Shafin Rahman, Salman H. Khan, and Fatih Porikli. "Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts," Published In: Asian Conference on Computer Vision (ACCV), 2018. link code
[C9] Shafin Rahman and Salman H. Khan. "Deep Multiple Instance Learning for Zero-shot Image Tagging", Published In: Asian Conference on Computer Vision (ACCV), 2018. link
[J9] Robert Kromer, Sebastian Boelefahr, Brendan Eck, Shafin Rahman and Maren Klemm, “Optical Coherence Tomography-Based Scattering Properties of Retinal Vessels in Glaucoma Patients", Published in: Current eye research, Dec. 2017. [IF 2.555] link
[J8] Robert Kromer, Shafin Rahman, Filip Filev and Maren Klemm, “An Approach for Automated Segmentation of Retinal Layers In Peripapillary Spectralis SD-OCT Images Using Curve Regularisation", Published in: Insights in Ophthalmology, Vol. 1 No. 2:10, April, 2017. link
[J7] Mrigank Rochan, Shafin Rahman, Neil Bruce and Yang Wang, “Weakly Supervised Object Localization and Segmentation in Videos", Accepted in: Image and Vision Computing, Vol. 56, pp. 1–12, ScienceDirect, Elsevier, Dec. 2016. [IF 3.86] link
[J6] Robert Kromer, Shafin Rahman, Sebastian Boelefahr and Maren Klemm, “An Automated Approach for Localizing Retinal Blood Vessels in Confocal Scanning Laser Ophthalmoscopy Fundus Images”, Published in: Journal of Medical and Biological Engineering (JMBE), Vol. 36, Issue 5, pp. 485–494, Springer Berlin Heidelberg, 2016. [IF 2.213] link
[J5] Shafin Rahman and Neil Bruce, “Visual Saliency Prediction and Evaluation Across Different Perceptual a Tasks”. Published in the journal: PLoS ONE 10(9): e0138053, September 2015. [IF 3.752] link
[J4] Neil D. B. Bruce, Shafin Rahman and Diana Carrier, “Sparse Coding in Early Visual Representation: From Specific Properties to General Principles”, Published in Neurocomputing, Vol. 171, pp. 1085–1098, ScienceDirect, Elsevier, January 2016. [IF 5.779] link
[J3] Neil Bruce, Calden Wloka, Nick Frosst, Shafin Rahman and John K Tsotsos, “On Computational Modeling of Visual Saliency: Examining What's Right, and What's Left”, Published in Vision Research, Vol. 116, Part B, pp. 95–112, ScienceDirect, Elsevier, November 2015. [IF 1.984] link
[J2] Shafin Rahman, Sheikh Motahar Naim, Abdullah Al Farooq and Md. Monirul Islam, “Performance of PCA Based Semi-supervised Learning in Face Recognition Using MPEG-7 Edge Histogram Descriptor”, Published in Journal of Multimedia, Vol. 6, No. 5, pp. 404-415, October 2011. link
[J1] Shafin Rahman, Sheikh Motahar Naim, Abdullah Al Farooq and Md. Monirul Islam, “Combination of Gabor and Curvelet Texture Features for Face Recognition Using Principal Component Analysis”, Published in International Journal of Computer and Electrical Engineering (IJCEE), Vol. 4, No. 3, pp. 264-269, June 2012. pdf
[C8] Shafin Rahman and Mrigank Rochan, “A fast farthest neighbor search algorithm for very high dimensional data”, Published in the proceedings of International Conference on Computer And Information Technology (ICCIT-2016), Dhaka, Bangladesh, 18-20 December, 2016. link
[C7] Shafin Rahman and Neil D. B. Bruce, “Factors underlying Inter-observer agreement in gaze patterns: Predictive modelling and analysis”, Published in Symposium on Eye Tracking Research and Applications (ETRA), March 2016, Charleston, United States. link
[C6] Shafin Rahman and Neil D. B. Bruce, “Saliency, Scale and Information: Towards a Unifying Theory”, Published in Neural Information Processing Systems (NIPS), 2015. link code
[C5] Shafin Rahman, Mrigank Rochan, Yang Wang and Neil Bruce, “Examining Visual Saliency Prediction in Naturalistic Scenes”, Published in The IEEE International Conference on Image Processing (ICIP), 27-30 October 2014, Paris, France. link
[C4] Mrigank Rochan, Shafin Rahman, Neil Bruce and Yang Wang, "Segmenting Objects in Weakly Labeled Videos", Published in the Conference on Computer and Robot Vision (CRV), 2014, Montréal, Canada. link
[C3] Shafin Rahman, Prianka Banik and Shujon Naha, "LDA Based Paper Currency Recognition System Using Edge Histogram Descriptor", Accepted in International Conference on Computer And Information Technology, Dhaka, Bangladesh, 22-23 December 2014. link
[C2] Shafin Rahman, Sheikh Motahar Naim, Abdullah Al Farooq and Md. Monirul Islam, “Performance of MPEG-7 Edge Histogram Descriptor in Face Recognition Using Principal Component Analysis”, Published in the proceedings of International Conference on Computer And Information Technology (ICCIT-2010), Dhaka, Bangladesh, 23-25 December, 2010. link
[C1] Shafin Rahman, Sheikh Motahar Naim, Abdullah Al Farooq and Md. Monirul Islam, “Curvelet Texture Based Face Recognition Using Principal Component Analysis”, Published in the proceedings of International Conference on Computer And Information Technology (ICCIT-2010), Dhaka, Bangladesh, 23-25 December, 2010. link
Shafin Rahman, Salman Khan, and Nick Barnes. "Polarity loss for zero-shot object detection." arXiv preprint arXiv:1811.08982 (2018). link
Naseer, Muzammal, Salman H. Khan, Shafin Rahman, and Fatih Porikli. "Task-generalizable Adversarial Attack based on Perceptual Metric." arXiv preprint arXiv:1811.09020 (2018). link
Naseer, Muzammal, Salman Hameed Khan, Shafin Rahman, and Fatih Porikli. "Distorting neural representations to generate highly transferable adversarial examples." arXiv preprint arXiv:1811.09020 (2018).
PhD Thesis: "Zero-shot Learning: Recognition, Tagging, and Detection of Novel Concepts", Australian National University (ANU), 2020. link [Won J G Crawford Prize]
Masters Thesis: "Understanding Visual Saliency and Perception of Digital Media", University of Manitoba, 2015. link