Author

Rahman S

Assistant Professor, ECE, North South University, Bangladesh - Cited by 1,228 - Computer Vision - Machine Learning

Biography

Dr.Rahman S is currently working at Pathology Department. Rahman S is research interests includes Pathology in Lactic acid bacteria. Rahman S serving as an editorial member and reviewer of several international reputed journals. Rahman S has successfully completed his Administrative responsibilities. Rahman S has authored of many research articles/books related to Medicine.
Title
Cited by
Year
A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning
S Rahman, S Khan, F PorikliIEEE Transactions on Image Processing 27 (11), 5652-5667, 2018201
154
2018
Zero-shot object detection: Learning to simultaneously recognize and localize novel concepts
S Rahman, S Khan, F PorikliAsian Conference on Computer Vision, 547-563, 2018201
146
2018
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
A Cheraghian, S Rahman, P Fang, SK Roy, L Petersson, M HarandiProceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021202
102
2021
Improved visual-semantic alignment for zero-shot object detection
S Rahman, S Khan, N BarnesProceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11932 …, 2020202
83
2020
Transductive learning for zero-shot object detection
S Rahman, S Khan, N BarnesProceedings of the IEEE/CVF International Conference on Computer Vision …, 2019201
76
2019
Polarity Loss for Zero-shot Object Detection
S Rahman, S Khan, N BarnesarXiv preprint arXiv:1811.08982, 2018201
46
2018
Zero-shot object detection: Joint recognition and localization of novel concepts
S Rahman, SH Khan, F PorikliInternational Journal of Computer Vision 128 (12), 2979-2999, 2020202
41
2020
Zero-shot learning of 3d point cloud objects
A Cheraghian, S Rahman, L Petersson2019 16th International Conference on Machine Vision Applications (MVA), 1-6, 2019201
38
2019
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces
A Cheraghian, S Rahman, S Ramasinghe, P Fang, C Simon, L Petersson, ...Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021202
38
2021
Transductive zero-shot learning for 3d point cloud classification
A Cheraghian, S Rahman, D Campbell, L PeterssonProceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020202
37
2020
Synthesizing the Unseen for Zero-shot Object Detection
N Hayat, M Hayat, S Rahman, S Khan, SW Zamir, FS KhanProceedings of the Asian Conference on Computer Vision, 2020202
35
2020
Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging
S Rahman, S Khan, N BarnesIEEE Transactions on Multimedia 22 (1), 242-255, 2019201
26
2019
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
A Cheraghian, S Rahman, D Campbell, L PeterssonThe British Machine Vision Conference (BMVC), 2019201
24
2019
Zero-shot learning on 3d point cloud objects and beyond
A Cheraghian, S Rahman, TF Chowdhury, D Campbell, L PeterssonInternational Journal of Computer Vision, 1-21, 202
22
2022
Any-shot object detection
S Rahman, S Khan, N Barnes, FS KhanProceedings of the Asian Conference on Computer Vision, 2020202
18
2020
Distorting Neural Representations to Generate Highly Transferable Adversarial Examples
M Naseer, SH Khan, S Rahman, F PorikliarXiv preprint arXiv:1811.09020, 2018201
16
2018
Weakly supervised object localization and segmentation in videos
M Rochan, S Rahman, NDB Bruce, Y WangImage and Vision Computing 56, 1-12, 2016201
13
2016
Task-generalizable Adversarial Attack based on Perceptual Metric
M Naseer, SH Khan, S Rahman, F PorikliarXiv preprint arXiv:1811.09020, 2018201
12
2018
S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation
Y Yang, MZ Hossain, T Gedeon, S RahmanProceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022202
11
2022
Deep multiple instance learning for zero-shot image tagging
S Rahman, S KhanComputer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019201
11
2019