Shafin Rahman

Orcid: 0000-0001-7169-0318

According to our database1, Shafin Rahman authored at least 58 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Uncertainty aware neural network from similarity and sensitivity.
Appl. Soft Comput., December, 2024

An open set model for pest identification.
Comput. Biol. Chem., February, 2024

GA-GWNN: Generalized Adaptive Graph Wavelet Neural Network.
Pattern Recognit. Lett., January, 2024

Spatial transcriptomics analysis of gene expression prediction using exemplar guided graph neural network.
Pattern Recognit., January, 2024

DeepMarkerNet: Leveraging supervision from the Duchenne Marker for spontaneous smile recognition.
Pattern Recognit. Lett., 2024

VAE-GAN3D: Leveraging image-based semantics for 3D zero-shot recognition.
Image Vis. Comput., 2024

Deep learning model for simultaneous recognition of quantitative and qualitative emotion using visual and bio-sensing data.
Comput. Vis. Image Underst., 2024

3D Point Cloud Network Pruning: When Some Weights Do not Matter.
CoRR, 2024

Beyond Labels: Aligning Large Language Models with Human-like Reasoning.
CoRR, 2024

Continual Test-time Domain Adaptation via Dynamic Sample Selection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Spatial Transcriptomics Analysis of Zero-Shot Gene Expression Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

LLM-GEm: Large Language Model-Guided Prediction of People's Empathy Levels towards Newspaper Article.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Backpropagation-free Network for 3D Test-time Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
LumiNet: The Bright Side of Perceptual Knowledge Distillation.
CoRR, 2023

Uncertainty Aware Neural Network from Similarity and Sensitivity.
CoRR, 2023

Curtin OCAI at WASSA 2023 Empathy, Emotion and Personality Shared Task: Demographic-Aware Prediction Using Multiple Transformers.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Personality Perception Using Scenario Based Stimulation and Physiological Signals.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

GEMM: A Graph Embedded Model for Memorability Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2023

ChatGPT-guided Semantics for Zero-shot Learning.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022
Zero-Shot Learning on 3D Point Cloud Objects and Beyond.
Int. J. Comput. Vis., 2022

COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks.
CoRR, 2022

Prompt-guided Scene Generation for 3D Zero-Shot Learning.
CoRR, 2022

DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers.
CoRR, 2022

Cricketer's tournament-wise performance prediction and squad selection using machine learning and multi-objective optimization.
Appl. Soft Comput., 2022

S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Rethinking Task-Incremental Learning Baselines.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Few-Shot Class-Incremental Learning for 3D Point Cloud Objects.
Proceedings of the Computer Vision - ECCV 2022, 2022

Less is More: Facial Landmarks can Recognize a Spontaneous Smile.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Learning Without Forgetting for 3D Point Cloud Objects.
Proceedings of the Advances in Computational Intelligence, 2021

DeepVANet: A Deep End-to-End Network for Multi-modal Emotion Recognition.
Proceedings of the Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30, 2021

EEG Feature Significance Analysis.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging.
IEEE Trans. Multim., 2020

Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts.
Int. J. Comput. Vis., 2020

Transductive Zero-Shot Learning for 3D Point Cloud Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Classifying Eye-Tracking Data Using Saliency Maps.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

RealSmileNet: A Deep End-to-End Network for Spontaneous and Posed Smile Recognition.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Any-Shot Object Detection.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Synthesizing the Unseen for Zero-Shot Object Detection.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Improved Visual-Semantic Alignment for Zero-Shot Object Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Zero-shot Learning of 3D Point Cloud Objects.
Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Transductive Learning for Zero-Shot Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning.
IEEE Trans. Image Process., 2018

Distorting Neural Representations to Generate Highly Transferable Adversarial Examples.
CoRR, 2018

Polarity Loss for Zero-shot Object Detection.
CoRR, 2018

Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts.
Proceedings of the Computer Vision - ACCV 2018, 2018

Deep Multiple Instance Learning for Zero-Shot Image Tagging.
Proceedings of the Computer Vision - ACCV 2018, 2018

2016
Weakly supervised object localization and segmentation in videos.
Image Vis. Comput., 2016

Sparse coding in early visual representation: From specific properties to general principles.
Neurocomputing, 2016

Factors underlying inter-observer agreement in gaze patterns: predictive modelling and analysis.
Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, 2016

2015
Saliency, Scale and Information: Towards a Unifying Theory.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Examining visual saliency prediction in naturalistic scenes.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Segmenting Objects in Weakly Labeled Videos.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014

2011
Performance of PCA Based Semi-supervised Learning in Face Recognition Using MPEG-7 Edge Histogram Descriptor.
J. Multim., 2011


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