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ORCIDShafin Rahman
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2020 – today
- 2024
[j16]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:
Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. 149(Part A): 111027 (2024)- [j15]Yefeng Shen, Md. Zakir Hossain, Khandaker Asif Ahmed, Shafin Rahman:
An open set model for pest identification. Comput. Biol. Chem. 108: 108002 (2024) - [j14]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. Comput. Vis. Image Underst. 248: 104121 (2024) - [j13]Sahar Ahmadi, Ali Cheraghian, Townim Faisal Chowdhury, Morteza Saberi, Shafin Rahman:
3D scene generation for zero-shot learning using ChatGPT guided language prompts. Comput. Vis. Image Underst. 249: 104211 (2024) - [j12]Md. Tahmeed Abdullah, Sejuti Rahman, Shafin Rahman, Md. Fokhrul Islam:
VAE-GAN3D: Leveraging image-based semantics for 3D zero-shot recognition. Image Vis. Comput. 147: 105049 (2024) - [j11]Yan Yang, Md. Zakir Hossain, Eric A. Stone, Shafin Rahman:
Spatial transcriptomics analysis of gene expression prediction using exemplar guided graph neural network. Pattern Recognit. 145: 109966 (2024) - [j10]Swakshar Deb, Shafin Rahman, Sejuti Rahman:
GA-GWNN: Generalized Adaptive Graph Wavelet Neural Network. Pattern Recognit. Lett. 177: 128-134 (2024) - [j9]Mohammad Junayed Hasan, Kazi Rafat, Fuad Rahman, Nabeel Mohammed, Shafin Rahman:
DeepMarkerNet: Leveraging supervision from the Duchenne Marker for spontaneous smile recognition. Pattern Recognit. Lett. 186: 148-155 (2024) - [c35]Swakshar Deb, Sejuti Rahman, Shafin Rahman:
SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network. AAAI 2024: 11740-11748 - [c34]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. CVPR 2024: 23231-23241 - [c33]Md. Rakibul Hasan, Md. Zakir Hossain, Tom Gedeon, Shafin Rahman:
LLM-GEm: Large Language Model-Guided Prediction of People's Empathy Levels towards Newspaper Article. EACL (Findings) 2024: 2215-2231 - [c32]Ali Cheraghian, Zeeshan Hayder, Sameera Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi:
Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. ECCV (41) 2024: 36-53 - [c31]Yan Yang, Md. Zakir Hossain, Xuesong Li, Shafin Rahman, Eric A. Stone:
Spatial Transcriptomics Analysis of Zero-Shot Gene Expression Prediction. MICCAI (4) 2024: 492-502 - [c30]Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi:
Continual Test-time Domain Adaptation via Dynamic Sample Selection. WACV 2024: 1690-1699 - [i32]Yan Yang, Md. Zakir Hossain, Xuesong Li, Shafin Rahman, Eric A. Stone:
Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction. CoRR abs/2401.14772 (2024) - [i31]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. CoRR abs/2403.18442 (2024) - [i30]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. CoRR abs/2408.11879 (2024) - [i29]Amrijit Biswas, Md. Ismail Hossain, Mirza M. Lutfe Elahi, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman:
3D Point Cloud Network Pruning: When Some Weights Do not Matter. CoRR abs/2408.14601 (2024) - [i28]Sahar Ahmadi, Ali Cheraghian, Morteza Saberi, Md. Towsif Abir, Hamidreza Dastmalchi, Farookh Hussain, Shafin Rahman:
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor. CoRR abs/2410.09237 (2024) - 2023
- [c29]Fahimul Hoque Shubho, Townim Faisal Chowdhury, Ali Cheraghian, Morteza Saberi, Nabeel Mohammed, Shafin Rahman:
ChatGPT-guided Semantics for Zero-shot Learning. DICTA 2023: 418-425 - [c28]Tahsin Tariq Banna, Swakshar Deb, Sejuti Rahman, Shafin Rahman:
GEMM: A Graph Embedded Model for Memorability Prediction. IJCNN 2023: 1-8 - [c27]Amrijit Biswas, Jingjie Li, Fahimul Hoque Shubho, Tom Gedeon, Shafin Rahman, Md. Zakir Hossain:
Personality Perception Using Scenario Based Stimulation and Physiological Signals. SMC 2023: 1884-1891 - [c26]Yan Yang, Md. Zakir Hossain, Eric A. Stone, Shafin Rahman:
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction. WACV 2023: 5028-5037 - [c25]Md. Rakibul Hasan, Md. Zakir Hossain, Tom Gedeon, Susannah Soon, Shafin Rahman:
Curtin OCAI at WASSA 2023 Empathy, Emotion and Personality Shared Task: Demographic-Aware Prediction Using Multiple Transformers. WASSA@ACL 2023: 536-541 - [i27]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:
Uncertainty Aware Neural Network from Similarity and Sensitivity. CoRR abs/2304.14925 (2023) - [i26]Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi:
Continual Test-time Domain Adaptation via Dynamic Sample Selection. CoRR abs/2310.03335 (2023) - [i25]Md. Ismail Hossain, Mirza M. Lutfe Elahi, Sameera Ramasinghe, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman:
LumiNet: The Bright Side of Perceptual Knowledge Distillation. CoRR abs/2310.03669 (2023) - [i24]Fahimul Hoque Shubho, Townim Faisal Chowdhury, Ali Cheraghian, Morteza Saberi, Nabeel Mohammed, Shafin Rahman:
ChatGPT-guided Semantics for Zero-shot Learning. CoRR abs/2310.11657 (2023) - 2022
- [j8]Devopriya Tirtho, Shafin Rahman, Md. Shahriar Mahbub:
Cricketer's tournament-wise performance prediction and squad selection using machine learning and multi-objective optimization. Appl. Soft Comput. 129: 109526 (2022) - [j7]Ali Cheraghian, Shafin Rahman, Townim F. Chowdhury, Dylan Campbell, Lars Petersson:
Zero-Shot Learning on 3D Point Cloud Objects and Beyond. Int. J. Comput. Vis. 130(10): 2364-2384 (2022) - [c24]Md. Tahrim Faroque, Yan Yang, Md. Zakir Hossain, Sheikh Motahar Naim, Nabeel Mohammed, Shafin Rahman:
Less is More: Facial Landmarks can Recognize a Spontaneous Smile. BMVC 2022: 369 - [c23]Townim F. Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman:
Few-Shot Class-Incremental Learning for 3D Point Cloud Objects. ECCV (20) 2022: 204-220 - [c22]Md. Sazzad Hossain, Pritom Kumar Saha, Townim Faisal Chowdhury, Shafin Rahman, Fuad Rahman, Nabeel Mohammed:
Rethinking Task-Incremental Learning Baselines. ICPR 2022: 2771-2777 - [c21]Yan Yang, Md. Zakir Hossain, Tom Gedeon, Shafin Rahman:
S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation. WACV 2022: 3162-3171 - [i23]Yan Yang, Md. Zakir Hossain, Khandaker Asif Ahmed, Liyuan Pan, Shafin Rahman, Eric A. Stone:
DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers. CoRR abs/2203.13132 (2022) - [i22]Md. Sazzad Hossain, Pritom Kumar Saha, Townim Faisal Chowdhury, Shafin Rahman, Fuad Rahman, Nabeel Mohammed:
Rethinking Task-Incremental Learning Baselines. CoRR abs/2205.11367 (2022) - [i21]Townim F. Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman:
Few-shot Class-incremental Learning for 3D Point Cloud Objects. CoRR abs/2205.15225 (2022) - [i20]Majid Nasiri, Ali Cheraghian, Townim Faisal Chowdhury, Sahar Ahmadi, Morteza Saberi, Shafin Rahman:
Prompt-guided Scene Generation for 3D Zero-Shot Learning. CoRR abs/2209.14690 (2022) - [i19]Md. Tahrim Faroque, Yan Yang, Md. Zakir Hossain, Sheikh Motahar Naim, Nabeel Mohammed, Shafin Rahman:
Less is More: Facial Landmarks can Recognize a Spontaneous Smile. CoRR abs/2210.04240 (2022) - [i18]Yan Yang, Md. Zakir Hossain, Eric A. Stone, Shafin Rahman:
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction. CoRR abs/2210.16721 (2022) - [i17]Md. Ismail Hossain, Mohammed Rakib, Mirza M. Lutfe Elahi, Nabeel Mohammed, Shafin Rahman:
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks. CoRR abs/2212.12770 (2022) - 2021
- [c20]Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CVPR 2021: 2534-2543 - [c19]Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, Mehrtash Harandi:
Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces. ICCV 2021: 8641-8650 - [c18]Yuhao Zhang, Yue Yao, Md. Zakir Hossain, Shafin Rahman, Tom Gedeon:
EEG Feature Significance Analysis. ICONIP (6) 2021: 212-220 - [c17]Yuhao Zhang, Md. Zakir Hossain, Shafin Rahman:
DeepVANet: A Deep End-to-End Network for Multi-modal Emotion Recognition. INTERACT (3) 2021: 227-237 - [c16]Townim F. Chowdhury, Mahira Jalisha, Ali Cheraghian, Shafin Rahman:
Learning Without Forgetting for 3D Point Cloud Objects. IWANN (1) 2021: 484-497 - [i16]Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CoRR abs/2103.04059 (2021) - [i15]Ali Cheraghian, Shafin Rahman, Townim F. Chowdhury, Dylan Campbell, Lars Petersson:
Zero-Shot Learning on 3D Point Cloud Objects and Beyond. CoRR abs/2104.04980 (2021) - [i14]Townim F. Chowdhury, Mahira Jalisha, Ali Cheraghian, Shafin Rahman:
Learning without Forgetting for 3D Point Cloud Objects. CoRR abs/2106.14275 (2021) - 2020
- [j6]Shafin Rahman, Salman H. Khan, Fatih Porikli:
Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts. Int. J. Comput. Vis. 128(12): 2979-2999 (2020) - [j5]Shafin Rahman, Salman H. Khan, Nick Barnes:
Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging. IEEE Trans. Multim. 22(1): 242-255 (2020) - [c15]Shafin Rahman, Salman H. Khan, Nick Barnes:
Improved Visual-Semantic Alignment for Zero-Shot Object Detection. AAAI 2020: 11932-11939 - [c14]Yan Yang, Md. Zakir Hossain, Tom Gedeon, Shafin Rahman:
RealSmileNet: A Deep End-to-End Network for Spontaneous and Posed Smile Recognition. ACCV (5) 2020: 21-37 - [c13]Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan:
Any-Shot Object Detection. ACCV (3) 2020: 89-106 - [c12]Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman H. Khan, Syed Waqas Zamir, Fahad Shahbaz Khan:
Synthesizing the Unseen for Zero-Shot Object Detection. ACCV (3) 2020: 155-170 - [c11]Shafin Rahman, Sejuti Rahman, Omar Shahid, Md. Tahmeed Abdullah, Jubair Ahmed Sourov:
Classifying Eye-Tracking Data Using Saliency Maps. ICPR 2020: 9288-9295 - [c10]Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson:
Transductive Zero-Shot Learning for 3D Point Cloud Classification. WACV 2020: 912-922 - [i13]Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan:
Any-Shot Object Detection. CoRR abs/2003.07003 (2020) - [i12]Yan Yang, Md. Zakir Hossain, Tom Gedeon, Shafin Rahman:
RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition. CoRR abs/2010.03203 (2020) - [i11]Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman H. Khan, Syed Waqas Zamir, Fahad Shahbaz Khan:
Synthesizing the Unseen for Zero-shot Object Detection. CoRR abs/2010.09425 (2020) - [i10]Shafin Rahman, Sejuti Rahman, Omar Shahid, Md. Tahmeed Abdullah, Jubair Ahmed Sourov:
Classifying Eye-Tracking Data Using Saliency Maps. CoRR abs/2010.12913 (2020) - [i9]Yan Yang, Md. Zakir Hossain, Tom Gedeon, Shafin Rahman:
S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation. CoRR abs/2011.14785 (2020)
2010 – 2019
- 2019
- [c9]Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson:
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects. BMVC 2019: 41 - [c8]Shafin Rahman, Salman H. Khan, Nick Barnes:
Transductive Learning for Zero-Shot Object Detection. ICCV 2019: 6081-6090 - [c7]Ali Cheraghian, Shafin Rahman, Lars Petersson:
Zero-shot Learning of 3D Point Cloud Objects. MVA 2019: 1-6 - [i8]Ali Cheraghian, Shafin Rahman, Lars Petersson:
Zero-shot Learning of 3D Point Cloud Objects. CoRR abs/1902.10272 (2019) - [i7]Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson:
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects. CoRR abs/1907.06371 (2019) - [i6]Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson:
Transductive Zero-Shot Learning for 3D Point Cloud Classification. CoRR abs/1912.07161 (2019) - 2018
- [j4]Shafin Rahman, Salman Hameed Khan, Fatih Porikli:
A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning. IEEE Trans. Image Process. 27(11): 5652-5667 (2018) - [c6]Shafin Rahman, Salman H. Khan:
Deep Multiple Instance Learning for Zero-Shot Image Tagging. ACCV (1) 2018: 530-546 - [c5]Shafin Rahman, Salman H. Khan, Fatih Porikli:
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts. ACCV (1) 2018: 547-563 - [i5]Shafin Rahman, Salman Hameed Khan, Fatih Porikli:
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts. CoRR abs/1803.06049 (2018) - [i4]Shafin Rahman, Salman H. Khan:
Deep Multiple Instance Learning for Zero-shot Image Tagging. CoRR abs/1803.06051 (2018) - [i3]Shafin Rahman, Salman H. Khan, Nick Barnes:
Polarity Loss for Zero-shot Object Detection. CoRR abs/1811.08982 (2018) - [i2]Muzammal Naseer, Salman Hameed Khan, Shafin Rahman, Fatih Porikli:
Distorting Neural Representations to Generate Highly Transferable Adversarial Examples. CoRR abs/1811.09020 (2018) - 2017
- [i1]Shafin Rahman, Salman Hameed Khan, Fatih Porikli:
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning. CoRR abs/1706.08653 (2017) - 2016
- [j3]Neil D. B. Bruce, Shafin Rahman, Diana Carrier:
Sparse coding in early visual representation: From specific properties to general principles. Neurocomputing 171: 1085-1098 (2016) - [j2]Mrigank Rochan, Shafin Rahman, Neil D. B. Bruce, Yang Wang:
Weakly supervised object localization and segmentation in videos. Image Vis. Comput. 56: 1-12 (2016) - [c4]Shafin Rahman, Neil D. B. Bruce:
Factors underlying inter-observer agreement in gaze patterns: predictive modelling and analysis. ETRA 2016: 155-162 - 2015
- [c3]Shafin Rahman, Neil D. B. Bruce:
Saliency, Scale and Information: Towards a Unifying Theory. NIPS 2015: 2188-2196 - 2014
- [c2]Mrigank Rochan, Shafin Rahman, Neil D. B. Bruce, Yang Wang:
Segmenting Objects in Weakly Labeled Videos. CRV 2014: 119-126 - [c1]Shafin Rahman, Mrigank Rochan, Yang Wang, Neil D. B. Bruce:
Examining visual saliency prediction in naturalistic scenes. ICIP 2014: 4082-4086 - 2011
- [j1]Shafin Rahman, Sheikh Motahar Naim, Abdullah Al Farooq, Md. Monirul Islam:
Performance of PCA Based Semi-supervised Learning in Face Recognition Using MPEG-7 Edge Histogram Descriptor. J. Multim. 6(5): 404-415 (2011)
Coauthor Index
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last updated on 2024-12-08 02:23 CET by the dblp team
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