Publications

For an updated list, please check the Google Scholar page

Journal Publications

[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 4.70] link code

[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 3.10] 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 5.10] 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 8.00]  link code

[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 8.70] 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

[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 13.369] 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 14.255] link

[J15] 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

[J14] 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), 2022. [IF 4.528] 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 13.369] 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 8.182] 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 11.041] 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

[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

Conference Publications

[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

[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". Accepted 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]

[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

[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

[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

[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

[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

[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

Archive Papers and Technical Reports

Thesis

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