Performance of PCA Based Semi-supervised Learning in Face Recognition Using MPEG-7 Edge Histogram Descriptor. - Shafin Rahman; Sheikh Motahar Naim; Abdullah Al Farooq; Md. Monirul Islam (J. Multim., 2011)

Segmenting Objects in Weakly Labeled Videos. - Mrigank Rochan; Shafin Rahman; Neil D. B. Bruce; Yang Wang 003 (CRV, 2014)

Examining visual saliency prediction in naturalistic scenes. - Shafin Rahman; Mrigank Rochan; Yang Wang 003; Neil D. B. Bruce (ICIP, 2014)

Saliency, Scale and Information: Towards a Unifying Theory. - Shafin Rahman; Neil D. B. Bruce (NIPS, 2015)

Factors underlying inter-observer agreement in gaze patterns: predictive modelling and analysis. - Shafin Rahman; Neil D. B. Bruce (ETRA, 2016)

Sparse coding in early visual representation: From specific properties to general principles. - Neil D. B. Bruce; Shafin Rahman; Diana Carrier (Neurocomputing, 2016)

Weakly supervised object localization and segmentation in videos. - Mrigank Rochan; Shafin Rahman; Neil D. B. Bruce; Yang Wang 003 (Image Vis. Comput., 2016)

Deep Multiple Instance Learning for Zero-Shot Image Tagging. - Shafin Rahman; Salman H. Khan 001 (ACCV (1), 2018)

Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts. - Shafin Rahman; Salman H. Khan 001; Fatih Porikli (ACCV (1), 2018)

Polarity Loss for Zero-shot Object Detection. - Shafin Rahman; Salman H. Khan 001; Nick Barnes (CoRR, 2018)

Distorting Neural Representations to Generate Highly Transferable Adversarial Examples. - Muzammal Naseer; Salman Hameed Khan; Shafin Rahman; Fatih Porikli (CoRR, 2018)

A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning. - Shafin Rahman; Salman Hameed Khan; Fatih Porikli (IEEE Trans. Image Process., 2018)

Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects. - Ali Cheraghian; Shafin Rahman; Dylan Campbell; Lars Petersson (BMVC, 2019)

Transductive Learning for Zero-Shot Object Detection. - Shafin Rahman; Salman H. Khan 001; Nick Barnes (ICCV, 2019)

Zero-shot Learning of 3D Point Cloud Objects. - Ali Cheraghian; Shafin Rahman; Lars Petersson (MVA, 2019)

Improved Visual-Semantic Alignment for Zero-Shot Object Detection. - Shafin Rahman; Salman H. Khan 001; Nick Barnes (AAAI, 2020)

Synthesizing the Unseen for Zero-Shot Object Detection. - Nasir Hayat; Munawar Hayat; Shafin Rahman; Salman H. Khan 001; Syed Waqas Zamir; Fahad Shahbaz Khan (ACCV (3), 2020)

Any-Shot Object Detection. - Shafin Rahman; Salman H. Khan 001; Nick Barnes; Fahad Shahbaz Khan (ACCV (3), 2020)

RealSmileNet: A Deep End-to-End Network for Spontaneous and Posed Smile Recognition. - Yan Yang 011; Md. Zakir Hossain; Tom Gedeon; Shafin Rahman (ACCV (5), 2020)

Classifying Eye-Tracking Data Using Saliency Maps. - Shafin Rahman; Sejuti Rahman; Omar Shahid; Md. Tahmeed Abdullah; Jubair Ahmed Sourov (ICPR, 2020)

Transductive Zero-Shot Learning for 3D Point Cloud Classification. - Ali Cheraghian; Shafin Rahman; Dylan Campbell; Lars Petersson (WACV, 2020)

Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts. - Shafin Rahman; Salman H. Khan 001; Fatih Porikli (Int. J. Comput. Vis., 2020)

Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging. - Shafin Rahman; Salman H. Khan 001; Nick Barnes (IEEE Trans. Multim., 2020)

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. - Ali Cheraghian; Shafin Rahman; Pengfei Fang; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (CVPR, 2021)

Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces. - Ali Cheraghian; Shafin Rahman; Sameera Ramasinghe; Pengfei Fang; Christian Simon; Lars Petersson; Mehrtash Harandi (ICCV, 2021)

EEG Feature Significance Analysis. - Yuhao Zhang; Yue Yao; Md. Zakir Hossain; Shafin Rahman; Tom Gedeon (ICONIP (6), 2021)

DeepVANet: A Deep End-to-End Network for Multi-modal Emotion Recognition. - Yuhao Zhang; Md. Zakir Hossain; Shafin Rahman (INTERACT (3), 2021)

Learning Without Forgetting for 3D Point Cloud Objects. - Townim F. Chowdhury; Mahira Jalisha; Ali Cheraghian; Shafin Rahman (IWANN (1), 2021)

Less is More: Facial Landmarks can Recognize a Spontaneous Smile. - Md. Tahrim Faroque; Yan Yang 011; Md. Zakir Hossain; Sheikh Motahar Naim; Nabeel Mohammed; Shafin Rahman (BMVC, 2022)

Few-Shot Class-Incremental Learning for 3D Point Cloud Objects. - Townim F. Chowdhury; Ali Cheraghian; Sameera Ramasinghe; Sahar Ahmadi; Morteza Saberi; Shafin Rahman (ECCV (20), 2022)

Rethinking Task-Incremental Learning Baselines. - Md. Sazzad Hossain; Pritom Kumar Saha; Townim Faisal Chowdhury; Shafin Rahman; Fuad Rahman 001; Nabeel Mohammed (ICPR, 2022)

S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation. - Yan Yang 011; Md. Zakir Hossain; Tom Gedeon; Shafin Rahman (WACV, 2022)

Cricketer's tournament-wise performance prediction and squad selection using machine learning and multi-objective optimization. - Devopriya Tirtho; Shafin Rahman; Md. Shahriar Mahbub (Appl. Soft Comput., 2022)

DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers. - Yan Yang 011; Md. Zakir Hossain; Khandaker Asif Ahmed; Liyuan Pan; Shafin Rahman; Eric A. Stone (CoRR, 2022)

Prompt-guided Scene Generation for 3D Zero-Shot Learning. - Majid Nasiri; Ali Cheraghian; Townim Faisal Chowdhury; Sahar Ahmadi; Morteza Saberi; Shafin Rahman (CoRR, 2022)

Zero-Shot Learning on 3D Point Cloud Objects and Beyond. - Ali Cheraghian; Shafin Rahman; Townim F. Chowdhury; Dylan Campbell; Lars Petersson (Int. J. Comput. Vis., 2022)

ChatGPT-guided Semantics for Zero-shot Learning. - Fahimul Hoque Shubho; Townim Faisal Chowdhury; Ali Cheraghian; Morteza Saberi; Nabeel Mohammed; Shafin Rahman (DICTA, 2023)

GEMM: A Graph Embedded Model for Memorability Prediction. - Tahsin Tariq Banna; Swakshar Deb; Sejuti Rahman; Shafin Rahman (IJCNN, 2023)

Personality Perception Using Scenario Based Stimulation and Physiological Signals. - Amrijit Biswas; Jingjie Li; Fahimul Hoque Shubho; Tom Gedeon; Shafin Rahman; Md. Zakir Hossain (SMC, 2023)

Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction. - Yan Yang 011; Md. Zakir Hossain; Eric A. Stone; Shafin Rahman (WACV, 2023)

Curtin OCAI at WASSA 2023 Empathy, Emotion and Personality Shared Task: Demographic-Aware Prediction Using Multiple Transformers. - Md. Rakibul Hasan 001; Md. Zakir Hossain; Tom Gedeon; Susannah Soon; Shafin Rahman (WASSA@ACL, 2023)

Uncertainty Aware Neural Network from Similarity and Sensitivity. - Hussain Mohammed Dipu Kabir; Subrota Kumar Mondal; Sadia Khanam; Abbas Khosravi; Shafin Rahman; Mohammad Reza Chalak Qazani; Roohallah Alizadehsani; Houshyar Asadi; Shadi Mohamed; Saeid Nahavandi; U. Rajendra Acharya (CoRR, 2023)

LumiNet: The Bright Side of Perceptual Knowledge Distillation. - Md. Ismail Hossain; Mirza M. Lutfe Elahi; Sameera Ramasinghe; Ali Cheraghian; Fuad Rahman 001; Nabeel Mohammed; Shafin Rahman (CoRR, 2023)

SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network. - Swakshar Deb; Sejuti Rahman; Shafin Rahman (AAAI, 2024)

Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-Free Adaptor. - Sahar Ahmadi; Ali Cheraghian; Morteza Saberi; Md. Towsif Abir; Hamidreza Dastmalchi; Farookh Khadeer Hussain; Shafin Rahman (ACCV (10), 2024)

Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis. - Jawad Ibn Ahad; Rafeed Mohammad Sultan; Abraham Kaikobad; Fuad Rahman 001; Mohammad Ruhul Amin; Nabeel Mohammed; Shafin Rahman (IEEE Big Data, 2024)

BanglaDialecto: An End-to-End AI-Powered Regional Speech Standardization. - Md. Nazmus Sadat Samin; Jawad Ibn Ahad; Tanjila Ahmed Medha; Fuad Rahman 001; Mohammad Ruhul Amin; Nabeel Mohammed; Shafin Rahman (IEEE Big Data, 2024)

3D Point Cloud Network Pruning: When Some Weights Do not Matter. - Amrijit Biswas; Md. Ismail Hossain; Mirza M. Lutfe Elahi; Ali Cheraghian; Fuad Rahman 001; Nabeel Mohammed; Shafin Rahman (BMVC, 2024)

Backpropagation-free Network for 3D Test-time Adaptation. - Yanshuo Wang; Ali Cheraghian; Zeeshan Hayder; Jie Hong; Sameera Ramasinghe; Shafin Rahman; David Ahmedt-Aristizabal; Xuesong Li 001; Lars Petersson; Mehrtash Harandi (CVPR, 2024)

Domain Adaptation for Classifying Spontaneous Smile Videos. - Amrijit Biswas; Md. Zakir Hossain; Yan Yang 011; Syed Mohammed Shamsul Islam; Tom Gedeon; Shafin Rahman (DICTA, 2024)

LLM-GEm: Large Language Model-Guided Prediction of People's Empathy Levels towards Newspaper Article. - Md. Rakibul Hasan 001; Md. Zakir Hossain; Tom Gedeon; Shafin Rahman (EACL (Findings), 2024)

Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. - Ali Cheraghian; Zeeshan Hayder; Sameera Ramasinghe; Shafin Rahman; Javad Jafaryahya; Lars Petersson; Mehrtash Harandi (ECCV (41), 2024)

Beyond Labels: Aligning Large Language Models with Human-Like Reasoning. - Muhammad Rafsan Kabir; Rafeed Mohammad Sultan; Ihsanul Haque Asif; Jawad Ibn Ahad; Fuad Rahman 001; Mohammad Ruhul Amin; Nabeel Mohammed; Shafin Rahman (ICPR (6), 2024)

Spatial Transcriptomics Analysis of Zero-Shot Gene Expression Prediction. - Yan Yang 011; Md. Zakir Hossain; Xuesong Li 001; Shafin Rahman; Eric A. Stone (MICCAI (4), 2024)

Continual Test-time Domain Adaptation via Dynamic Sample Selection. - Yanshuo Wang; Jie Hong; Ali Cheraghian; Shafin Rahman; David Ahmedt-Aristizabal; Lars Petersson; Mehrtash Harandi (WACV, 2024)

VideoLights: Feature Refinement and Cross-Task Alignment Transformer for Joint Video Highlight Detection and Moment Retrieval. - Dhiman Paul; Md. Rizwan Parvez; Nabeel Mohammed; Shafin Rahman (CoRR, 2024)

3D scene generation for zero-shot learning using ChatGPT guided language prompts. - Sahar Ahmadi; Ali Cheraghian; Townim Faisal Chowdhury; Morteza Saberi; Shafin Rahman (Comput. Vis. Image Underst., 2024)

Deep learning model for simultaneous recognition of quantitative and qualitative emotion using visual and bio-sensing data. - Iman Hosseini; Md. Zakir Hossain; Yuhao Zhang; Shafin Rahman (Comput. Vis. Image Underst., 2024)

VAE-GAN3D: Leveraging image-based semantics for 3D zero-shot recognition. - Md. Tahmeed Abdullah; Sejuti Rahman; Shafin Rahman; Md. Fokhrul Islam (Image Vis. Comput., 2024)

DeepMarkerNet: Leveraging supervision from the Duchenne Marker for spontaneous smile recognition. - Mohammad Junayed Hasan; Kazi Rafat; Fuad Rahman 001; Nabeel Mohammed; Shafin Rahman (Pattern Recognit. Lett., 2024)

Spatial transcriptomics analysis of gene expression prediction using exemplar guided graph neural network. - Yan Yang 011; Md. Zakir Hossain; Eric A. Stone; Shafin Rahman (Pattern Recognit., 2024)

GA-GWNN: Generalized Adaptive Graph Wavelet Neural Network. - Swakshar Deb; Shafin Rahman; Sejuti Rahman (Pattern Recognit. Lett., 2024)

An open set model for pest identification. - Yefeng Shen; Md. Zakir Hossain; Khandaker Asif Ahmed; Shafin Rahman (Comput. Biol. Chem., 2024)

Uncertainty aware neural network from similarity and sensitivity. - Hussain Mohammed Dipu Kabir; Subrota Kumar Mondal; Sadia Khanam; Abbas Khosravi; Shafin Rahman; Mohammad Reza Chalak Qazani; Roohallah Alizadehsani; Houshyar Asadi; Shady M. K. Mohamed; Saeid Nahavandi; U. Rajendra Acharya (Appl. Soft Comput., 2024)

Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models. - Hamidreza Dastmalchi; Aijun An; Ali Cheraghian; Shafin Rahman; Sameera Ramasinghe (WACV, 2025)

ReKon3D: Relation-knowledge aware multi-modal embedding and contrastive GAN for zero-shot 3D recognition. - Md. Fokhrul Islam; Sejuti Rahman; Shafin Rahman (Neurocomputing, 2025)

Labels Generated by Large Language Model Helps Measuring People's Empathy in Vitro. - Md. Rakibul Hasan 001; Yue Yao; Md. Zakir Hossain; Aneesh Krishna; Imre J. Rudas; Shafin Rahman; Tom Gedeon (CoRR, 2025)

Polarity Loss: Improving Visual-Semantic Alignment for Zero-Shot Detection. - Shafin Rahman; Salman Khan 001; Nick Barnes (IEEE Trans. Neural Networks Learn. Syst., 2025)

Tabular foundation model to detect empathy from visual cues. - Md. Rakibul Hasan 001; Shafin Rahman; Md. Zakir Hossain; Aneesh Krishna; Tom Gedeon (CoRR, 2025)

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval. - Muhammad Rafsan Kabir; Rafeed Mohammad Sultan; Fuad Rahman 001; Mohammad Ruhul Amin; Sifat Momen; Nabeel Mohammed; Shafin Rahman (CoRR, 2025)

COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks. - Md. Ismail Hossain; Mohammed Rakib; Mirza M. Lutfe Elahi; Nabeel Mohammed; Shafin Rahman (IEEE Trans. Artif. Intell., 2025)

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction. - Mustafa Kamal; Niyaz Bin Hashem; Robin Krambroeckers; Nabeel Mohammed; Shafin Rahman (CoRR, 2025)