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2020 – today
- 2025
[j49]Wijayanti Nurul Khotimah, Mohammed Bennamoun, Farid Boussaïd, Lian Xu, Ferdous Sohel:
Dual-Phase Framework for Few-Shot Hyperspectral Image Classification With Spatiospectral Masked Autoencoder and Episode Training. IEEE Trans. Geosci. Remote. Sens. 63: 1-16 (2025)- [j48]Aref Miri Rekavandi, Lian Xu, Farid Boussaïd, Abd-Krim Seghouane, Stephen Hoefs, Mohammed Bennamoun:
A Guide to Image- and Video-Based Small Object Detection Using Deep Learning: Case Study of Maritime Surveillance. IEEE Trans. Intell. Transp. Syst. 26(3): 2851-2879 (2025) - [j47]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Ferdous Sohel, Dan Xu:
Auxiliary Tasks Enhanced Dual-Affinity Learning for Weakly Supervised Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 36(3): 5082-5096 (2025) - 2024
- [j46]Yanbin Liu
, Girish Dwivedi, Farid Boussaïd, Mohammed Bennamoun:
3D Brain and Heart Volume Generative Models: A Survey. ACM Comput. Surv. 56(6): 137:1-137:37 (2024) - [j45]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Hamid Laga, Wanli Ouyang, Dan Xu:
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8380-8395 (2024) - [j44]Deyin Liu, Lin Yuanbo Wu, Bo Li, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie, Chengwu Liang:
Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense. Pattern Recognit. 145: 109902 (2024) - [c57]Yiheng Lyu, Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Girish Dwivedi:
Importance-Aware Transformer: Addressing Intra-Class Heterogeneity in Weakly Supervised Brain Tumor Segmentation. DICTA 2024: 300-307 - [c56]Zhiheng Fu, Longguang Wang, Lian Xu, Zhiyong Wang, Hamid Laga, Yulan Guo, Farid Boussaïd, Mohammed Bennamoun:
AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion. ECCV (11) 2024: 127-143 - [c55]Tahmina Khanam, Hamid Laga, Mohammed Bennamoun, Guanjin Wang, Ferdous Sohel, Farid Boussaïd, Guan Wang, Anuj Srivastava:
A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-Shaped Structures. ECCV (67) 2024: 326-341 - [c54]Qiang Han, Farid Boussaïd, Mohammed Bennamoun:
Model Predictive Control-Based Reinforcement Learning. ISCAS 2024: 1-5 - [c53]Mehraan Chowdhury, Mohammed Bennamoun, Farid Boussaïd, Syed Mohammed Shamsul Islam:
Automatic Detection of Peripheral Facial Landmarks Using 3D Facial Data. IVCNZ 2024: 1-6 - [i28]Ashkan Taghipour, Morteza Ghahremani, Mohammed Bennamoun, Aref Miri Rekavandi, Hamid Laga, Farid Boussaïd:
Box It to Bind It: Unified Layout Control and Attribute Binding in T2I Diffusion Models. CoRR abs/2402.17910 (2024) - [i27]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Ferdous Sohel, Dan Xu:
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2403.01156 (2024) - [i26]Ashkan Taghipour, Morteza Ghahremani, Mohammed Bennamoun, Aref Miri Rekavandi, Zinuo Li, Hamid Laga, Farid Boussaïd:
Faster Image2Video Generation: A Closer Look at CLIP Image Embedding's Impact on Spatio-Temporal Cross-Attentions. CoRR abs/2407.19205 (2024) - [i25]Tahmina Khanam, Hamid Laga, Mohammed Bennamoun, Guanjin Wang, Ferdous Sohel, Farid Boussaïd, Guan Wang, Anuj Srivastava:
A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures. CoRR abs/2408.12443 (2024) - [i24]Chengyuan Zhang, Yilin Zhang, Lei Zhu, Deyin Liu, Lin Wu, Bo Li, Shichao Zhang, Mohammed Bennamoun, Farid Boussaïd:
UIFormer: A Unified Transformer-based Framework for Incremental Few-Shot Object Detection and Instance Segmentation. CoRR abs/2411.08569 (2024) - 2023
- [j43]Wijayanti Nurul Khotimah, Mohammed Bennamoun, Farid Boussaïd, Lian Xu, David Edwards, Ferdous Sohel:
MCE-ST: Classifying crop stress using hyperspectral data with a multiscale conformer encoder and spectral-based tokens. Int. J. Appl. Earth Obs. Geoinformation 118: 103286 (2023) - [j42]Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun:
Inflating 2D convolution weights for efficient generation of 3D medical images. Comput. Methods Programs Biomed. 240: 107685 (2023) - [j41]Hoda Mohaghegh, Farid Boussaïd, Hamid Laga, Hossein Rahmani, Mohammed Bennamoun:
Robust monocular 3D face reconstruction under challenging viewing conditions. Neurocomputing 520: 82-93 (2023) - [j40]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Dan Xu:
Learning class-agnostic masks with cross-task refinement for weakly supervised semantic segmentation. Neural Comput. Appl. 35(27): 20189-20205 (2023) - [j39]Adnan Qayyum, Inaam Ilahi, Fahad Shamshad, Farid Boussaïd, Mohammed Bennamoun, Junaid Qadir:
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6511-6536 (2023) - [j38]Zhiheng Fu, Siyu Hong, Mengyi Liu, Hamid Laga, Mohammed Bennamoun, Farid Boussaïd, Yulan Guo:
Multi-stage information diffusion for joint depth and surface normal estimation. Pattern Recognit. 141: 109660 (2023) - [j37]Uzair Nadeem, Mohammed Bennamoun, Roberto Togneri, Ferdous Sohel, Aref Miri Rekavandi, Farid Boussaïd:
Cross domain 2D-3D descriptor matching for unconstrained 6-DOF pose estimation. Pattern Recognit. 142: 109655 (2023) - [j36]Aref Miri Rekavandi, Farid Boussaïd, Abd-Krim Seghouane, Mohammed Bennamoun:
B-Pose: Bayesian Deep Network for Camera 6-DoF Pose Estimation From RGB Images. IEEE Robotics Autom. Lett. 8(10): 6747-6754 (2023) - [j35]Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie:
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. IEEE Trans. Image Process. 32: 4800-4811 (2023) - [j34]Deyin Liu, Lin Wu, Richang Hong, Zongyuan Ge, Jialie Shen, Farid Boussaïd, Mohammed Bennamoun:
Generative Metric Learning for Adversarially Robust Open-world Person Re-Identification. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 20:1-20:19 (2023) - [c52]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu:
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization. CVPR 2023: 19596-19605 - [c51]Dhruv Chetan Jobanputra, Mohammed Bennamoun, Farid Boussaïd, Lian Xu, Jafri Kuthubutheen:
Classical approaches and new deep learning trends to assist in accurately and efficiently diagnosing ear disease from otoscopic images. EUVIP 2023: 1-7 - [c50]Aref Miri Rekavandi, Abd-Krim Seghouane, Farid Boussaïd, Mohammed Bennamoun:
Extended Expectation Maximization for Under-Fitted Models. ICASSP 2023: 1-5 - [c49]Zhiheng Fu, Longguang Wang, Lian Xu, Zhiyong Wang, Hamid Laga, Yulan Guo, Farid Boussaïd, Mohammed Bennamoun:
VAPCNet: Viewpoint-Aware 3D Point Cloud Completion. ICCV 2023: 12074-12084 - [c48]Hoda Mohaghegh, Hossein Rahmani, Hamid Laga, Farid Boussaïd, Mohammed Bennamoun:
Reinforced Learning for Label-Efficient 3D Face Reconstruction. ICRA 2023: 6028-6034 - [d1]Laurent Valentin Jospin, Hamid Laga, Farid Boussaïd, Mohammed Bennamoun:
Active-Passive SimStereo. IEEE DataPort, 2023
- [i23]Hao Tang, Aref Miri Rekavandi, Dharjinder Rooprai, Girish Dwivedi, Frank M. Sanfilippo, Farid Boussaïd, Mohammed Bennamoun:
Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment. CoRR abs/2303.06052 (2023) - [i22]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Hamid Laga, Wanli Ouyang, Dan Xu:
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation. CoRR abs/2308.03005 (2023) - [i21]Aref Miri Rekavandi, Shima Rashidi, Farid Boussaïd, Stephen Hoefs, Emre Akbas, Mohammed Bennamoun:
Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art. CoRR abs/2309.04902 (2023) - 2022
- [j33]Laurent Valentin Jospin, Hamid Laga, Farid Boussaïd, Wray L. Buntine, Mohammed Bennamoun:
Hands-On Bayesian Neural Networks - A Tutorial for Deep Learning Users. IEEE Comput. Intell. Mag. 17(2): 29-48 (2022) - [j32]Hamid Laga, Laurent Valentin Jospin, Farid Boussaïd, Mohammed Bennamoun:
A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1738-1764 (2022) - [j31]Wijayanti Nurul Khotimah, Farid Boussaïd, Ferdous Sohel, Lian Xu, David Edwards, Xiu Jin, Mohammed Bennamoun:
SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification. Remote. Sens. 14(17): 4288 (2022) - [j30]Yulan Guo, Michael Choi, Kunhong Li, Farid Boussaïd, Mohammed Bennamoun:
Soft Exemplar Highlighting for Cross-View Image-Based Geo-Localization. IEEE Trans. Image Process. 31: 2094-2105 (2022) - [j29]Lin Wu, Deyin Liu, Wenying Zhang, Dapeng Chen, Zongyuan Ge, Farid Boussaïd, Mohammed Bennamoun, Jialie Shen:
Pseudo-Pair Based Self-Similarity Learning for Unsupervised Person Re-Identification. IEEE Trans. Image Process. 31: 4803-4816 (2022) - [c47]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu:
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation. CVPR 2022: 4300-4309 - [c46]Laurent Valentin Jospin, Allen Antony, Lian Xu, Hamid Laga, Farid Boussaïd, Mohammed Bennamoun:
Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods. NeurIPS 2022 - [i20]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu:
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation. CoRR abs/2203.02891 (2022) - [i19]Mohammed Hassanin, Abdelwahed Khamis, Mohammed Bennamoun, Farid Boussaïd, Ibrahim Radwan:
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation. CoRR abs/2203.13387 (2022) - [i18]Aref Miri Rekavandi, Lian Xu, Farid Boussaïd, Abd-Krim Seghouane, Stephen Hoefs, Mohammed Bennamoun:
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance. CoRR abs/2207.12926 (2022) - [i17]Lin Wu, Deyin Liu, Wenying Zhang, Dapeng Chen, Zongyuan Ge, Farid Boussaïd, Mohammed Bennamoun, Jialie Shen:
Pseudo-Pair based Self-Similarity Learning for Unsupervised Person Re-identification. CoRR abs/2207.13035 (2022) - [i16]Deyin Liu, Lin Wu, Farid Boussaïd, Mohammed Bennamoun:
Improved and Interpretable Defense to Transferred Adversarial Examples by Jacobian Norm with Selective Input Gradient Regularization. CoRR abs/2207.13036 (2022) - [i15]Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun:
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. CoRR abs/2207.13037 (2022) - [i14]Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun:
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images. CoRR abs/2208.03934 (2022) - [i13]Laurent Valentin Jospin, Hamid Laga, Farid Boussaïd, Mohammed Bennamoun:
Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision. CoRR abs/2209.05082 (2022) - [i12]Laurent Valentin Jospin, Allen Antony, Lian Xu, Hamid Laga, Farid Boussaïd, Mohammed Bennamoun:
Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods. CoRR abs/2209.08305 (2022) - [i11]Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Mohammed Bennamoun:
3D Brain and Heart Volume Generative Models: A Survey. CoRR abs/2210.05952 (2022) - 2021
- [j28]Lian Xu, Hao Xue, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel:
Atrous convolutional feature network for weakly supervised semantic segmentation. Neurocomputing 421: 115-126 (2021) - [j27]Cameron Hodges, Mohammed Bennamoun, Farid Boussaïd:
Quantitative performance evaluation of object detectors in hazy environments. Pattern Recognit. Lett. 152: 150-157 (2021) - [j26]Monica F. Danilevicz, Philipp E. Bayer, Farid Boussaïd, Mohammed Bennamoun, David Edwards:
Maize Yield Prediction at an Early Developmental Stage Using Multispectral Images and Genotype Data for Preliminary Hybrid Selection. Remote. Sens. 13(19): 3976 (2021) - [c45]Colin Flynn, Mohammed Bennamoun, Farid Boussaïd:
Growth and evolution of deep neural networks from gene regulatory networks. GECCO Companion 2021: 275-276 - [c44]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, Dan Xu:
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation. ICCV 2021: 6964-6973 - [i10]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, Dan Xu:
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2107.11787 (2021) - [i9]Laurent Valentin Jospin, Farid Boussaïd, Hamid Laga, Mohammed Bennamoun:
Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based Matching. CoRR abs/2112.00941 (2021) - 2020
- [j25]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel:
Scale-Aware Feature Network for Weakly Supervised Semantic Segmentation. IEEE Access 8: 75957-75967 (2020) - [j24]Ammar Mahmood, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd:
ResFeats: Residual network based features for underwater image classification. Image Vis. Comput. 93: 103811 (2020) - [j23]Wijayanti Nurul Khotimah, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, David Edwards:
A High-Performance Spectral-Spatial Residual Network for Hyperspectral Image Classification with Small Training Data. Remote. Sens. 12(19): 3137 (2020) - [j22]Ammar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd, Renae Hovey, Robert B. Fisher, Gary A. Kendrick:
Automatic Hierarchical Classification of Kelps Using Deep Residual Features. Sensors 20(2): 447 (2020) - [j21]Qiuhong Ke, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaïd:
Learning Latent Global Network for Skeleton-Based Action Prediction. IEEE Trans. Image Process. 29: 959-970 (2020) - [i8]Hamid Laga, Laurent Valentin Jospin, Farid Boussaïd, Mohammed Bennamoun:
A Survey on Deep Learning Techniques for Stereo-based Depth Estimation. CoRR abs/2006.02535 (2020) - [i7]Laurent Valentin Jospin, Wray L. Buntine, Farid Boussaïd, Hamid Laga, Mohammed Bennamoun:
Hands-on Bayesian Neural Networks - a Tutorial for Deep Learning Users. CoRR abs/2007.06823 (2020)
2010 – 2019
- 2019
- [c43]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Senjian An, Ferdous Sohel:
An Improved Approach to Weakly Supervised Semantic Segmentation. ICASSP 2019: 1897-1901 - [c42]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Senjian An, Ferdous Sohel:
Coral Classification Using DenseNet and Cross-modality Transfer Learning. IJCNN 2019: 1-8 - [p1]Lian Xu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd:
Deep Learning for Marine Species Recognition. Handbook of Deep Learning Applications 2019: 129-145 - [i6]Ammar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd, Renae Hovey, Robert B. Fisher, Gary A. Kendrick:
Hierarchical Classification of Kelps utilizing Deep Residual Features. CoRR abs/1906.10881 (2019) - 2018
- [j20]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd, Lyndon While:
Evolutionary Feature Learning for 3-D Object Recognition. IEEE Access 6: 2434-2444 (2018) - [j19]Qiuhong Ke, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaïd:
Identity Adaptation for Person Re-Identification. IEEE Access 6: 48147-48155 (2018) - [j18]Senjian An, Farid Boussaïd, Mohammed Bennamoun, Ferdous Sohel:
Exploiting layerwise convexity of rectifier networks with sign constrained weights. Neural Networks 105: 419-430 (2018) - [j17]Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd:
Learning Clip Representations for Skeleton-Based 3D Action Recognition. IEEE Trans. Image Process. 27(6): 2842-2855 (2018) - [j16]Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd:
Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction. IEEE Trans. Multim. 20(7): 1712-1723 (2018) - [c41]Qiuhong Ke, Jun Liu, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaïd:
Global Regularizer and Temporal-Aware Cross-Entropy for Skeleton-Based Early Action Recognition. ACCV (4) 2018: 729-745 - [c40]Lian Xu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd:
Classification of Corals in Reflectance and Fluorescence Images Using Convolutional Neural Network Representations. ICASSP 2018: 1493-1497 - [c39]Qian Yu, Farid Boussaïd, Amine Bermak, Chi-Ying Tsui:
Room-Temperature Dual-mode CMOS Gas-FET Sensor for Diabetes Detection. ISCAS 2018: 1-4 - 2017
- [j15]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
Keypoints-based surface representation for 3D modeling and 3D object recognition. Pattern Recognit. 64: 29-38 (2017) - [j14]Qiuhong Ke, Senjian An, Mohammed Bennamoun, Ferdous Ahmed Sohel, Farid Boussaïd:
SkeletonNet: Mining Deep Part Features for 3-D Action Recognition. IEEE Signal Process. Lett. 24(6): 731-735 (2017) - [c38]Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd:
A New Representation of Skeleton Sequences for 3D Action Recognition. CVPR 2017: 4570-4579 - [c37]Moaaz Ahmed, Farid Boussaïd, Amine Bermak:
An ultra low-power capacitively-coupled chopper instrumentation amplifier for wheatstone-bridge readout circuits. ISCAS 2017: 1-4 - [c36]Feng Gao, Amine Bermak, Chi-Ying Tsui, Farid Boussaïd:
Dual transduction Gas sensor based on a surface acoustic wave resonator. ISCAS 2017: 1-4 - [i5]Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd:
A New Representation of Skeleton Sequences for 3D Action Recognition. CoRR abs/1703.03492 (2017) - [i4]Senjian An, Farid Boussaïd, Mohammed Bennamoun, Jiankun Hu:
From Deep to Shallow: Transformations of Deep Rectifier Networks. CoRR abs/1703.10355 (2017) - [i3]Senjian An, Mohammed Bennamoun, Farid Boussaïd:
On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries. CoRR abs/1708.07244 (2017) - [i2]Senjian An, Farid Boussaïd, Mohammed Bennamoun, Ferdous Ahmed Sohel:
Exploiting Layerwise Convexity of Rectifier Networks with Sign Constrained Weights. CoRR abs/1711.05627 (2017) - 2016
- [j13]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
Iterative deep learning for image set based face and object recognition. Neurocomputing 174: 866-874 (2016) - [j12]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
A novel feature representation for automatic 3D object recognition in cluttered scenes. Neurocomputing 205: 1-15 (2016) - [j11]Said Elaiwat, Mohammed Bennamoun, Farid Boussaïd:
A semantic RBM-based model for image set classification. Neurocomputing 205: 507-518 (2016) - [j10]Said Elaiwat, Mohammed Bennamoun, Farid Boussaïd:
A spatio-temporal RBM-based model for facial expression recognition. Pattern Recognit. 49: 152-161 (2016) - [c35]Qiuhong Ke, Mohammed Bennamoun, Senjian An, Farid Boussaïd, Ferdous Ahmed Sohel:
Human Interaction Prediction Using Deep Temporal Features. ECCV Workshops (2) 2016: 403-414 - [c34]Ammar Mahmood, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, Farid Boussaïd, Renae Hovey, Gary A. Kendrick, Robert B. Fisher:
Coral classification with hybrid feature representations. ICIP 2016: 519-523 - [c33]Jiaqi Chen, Xiaofang Pan, Farid Boussaïd, Amine Bermak, Zhiyong Fan:
A hierarchical ZnO nanostructure gas sensor for human breath-level acetone detection. ISCAS 2016: 1866-1869 - [i1]Qiuhong Ke, Mohammed Bennamoun, Senjian An, Farid Boussaïd, Ferdous Ahmed Sohel:
Spatial, Structural and Temporal Feature Learning for Human Interaction Prediction. CoRR abs/1608.05267 (2016) - 2015
- [j9]Said Elaiwat, Mohammed Bennamoun, Farid Boussaïd, Amar A. El-Sallam:
A Curvelet-based approach for textured 3D face recognition. Pattern Recognit. 48(4): 1235-1246 (2015) - [j8]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
A novel 3D vorticity based approach for automatic registration of low resolution range images. Pattern Recognit. 48(9): 2859-2871 (2015) - [j7]ShaoHua Lu, Farid Boussaïd:
An Inductorless Self-Controlled Rectifier for Piezoelectric Energy Harvesting. Sensors 15(11): 29192-29208 (2015) - [j6]Senjian An, Farid Boussaïd, Mohammed Bennamoun, Ferdous Ahmed Sohel:
Quantitative Error Analysis of Bilateral Filtering. IEEE Signal Process. Lett. 22(2): 202-206 (2015) - [c32]Senjian An, Munawar Hayat, Salman H. Khan, Mohammed Bennamoun, Farid Boussaïd, Ferdous Ahmed Sohel:
Contractive Rectifier Networks for Nonlinear Maximum Margin Classification. ICCV 2015: 2515-2523 - [c31]Senjian An, Farid Boussaïd, Mohammed Bennamoun:
How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances? ICML 2015: 514-523 - [c30]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
Automatic 3D face landmark localization based on 3D vector field analysis. IVCNZ 2015: 1-6 - [c29]Senjian An, Qiuhong Ke, Mohammed Bennamoun, Farid Boussaïd, Ferdous Ahmed Sohel:
Sign Constrained Rectifier Networks with Applications to Pattern Decompositions. ECML/PKDD (1) 2015: 546-559 - [c28]Lyndon White, Lyndon While, Ben Deeks, Farid Boussaïd:
Transistor Sizing Using Particle Swarm Optimisation. SSCI 2015: 259-266 - 2014
- [j5]Xiaoxiao Zhang, Farid Boussaïd, Amine Bermak:
32 Bit ×32 Bit Multiprecision Razor-Based Dynamic Voltage Scaling Multiplier With Operands Scheduler. IEEE Trans. Very Large Scale Integr. Syst. 22(4): 759-770 (2014) - [c27]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
Performance Evaluation of 3D Local Surface Descriptors for Low and High Resolution Range Image Registration. DICTA 2014: 1-7 - [c26]Jithin Sankar Sankaran Kutty, Farid Boussaïd, Abbes Amira:
A high speed configurable FPGA architecture for bilateral filtering. ICIP 2014: 1248-1252 - 2013
- [c25]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd, Amar A. El-Sallam:
A Novel Local Surface Description for Automatic 3D Object Recognition in Low Resolution Cluttered Scenes. ICCV Workshops 2013: 638-643 - [c24]Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd, Amar A. El-Sallam:
3D-Div: A novel local surface descriptor for feature matching and pairwise range image registration. ICIP 2013: 2934-2938 - [c23]Jaber Hassan J. Al Yamani, Farid Boussaïd, Amine Bermak, Dominique Martinez:
Experimental evaluation of latency coding for gas recognition. IDT 2013: 1-4 - [c22]Jithin Sankar Sankaran Kutty, Farid Boussaïd, Abbes Amira:
A high speed configurable FPGA architecture for k-mean clustering. ISCAS 2013: 1801-1804 - [c21]ShaoHua Lu, Farid Boussaïd, Man-Kay Law:
Efficient parallel-SSHI interface circuit for piezoelectric energy harvesting. NEWCAS 2013: 1-4 - 2012
- [c20]Jaber Hassan J. Al Yamani, Farid Boussaïd, Amine Bermak, Dominique Martinez:
Bio-inspired gas recognition based on the organization of the olfactory pathway. ISCAS 2012: 1391-1394 - 2011
- [j4]Kwan Ting Ng, Farid Boussaïd, Amine Bermak:
A CMOS Single-Chip Gas Recognition Circuit for Metal Oxide Gas Sensor Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 58-I(7): 1569-1580 (2011) - [c19]Yan Wang, Amine Bermak, Farid Boussaïd:
Reduced dimension Vector Quantization encoding method for image compression. IDT 2011: 110-113 - [c18]Xiaojin Zhao, Amine Bermak, Farid Boussaïd:
A low cost CMOS polarimetric ophthalmoscope scheme for cerebral malaria diagnostics. VLSI-SoC 2011: 1-4 - [c17]Xiaojin Zhao, Amine Bermak, Farid Boussaïd:
A Low Cost CMOS Polarimetric Ophthalmoscope Scheme for Cerebral Malaria Diagnostics. VLSI-SoC (Selected Papers) 2011: 1-9 - 2010
- [c16]Xiaoxiao Zhang, Amine Bermak, Farid Boussaïd:
Dynamic voltage and frequency scaling for low-power multi-precision reconfigurable multiplier. ISCAS 2010: 45-48 - [c15]Xiaojin Zhao, Amine Bermak, Farid Boussaïd, Vladimir G. Chigrinov:
Liquid-crystal micropolarimeter array for visible linear and circular polarization imaging. ISCAS 2010: 637-640 - [c14]Kwan Ting Ng, Farid Boussaïd, Amine Bermak:
A frequency-based signature gas identification circuit for SnO2 gas sensors. ISCAS 2010: 2275-2278
2000 – 2009
- 2009
- [j3]Amar A. El-Sallam, Farid Boussaïd:
A High Resolution Color Image Restoration Algorithm for Thin TOMBO Imaging Systems. Sensors 9(6): 4649-4668 (2009) - [c13]Kwan Ting Ng, Hung Tat Chen, Farid Boussaïd, Amine Bermak, Dominique Martinez:
A Robust Spike-based Gas Identification Technique for SnO2 Gas Sensors. ISCAS 2009: 553-556 - 2008
- [c12]Xiaoxiao Zhang, Amine Bermak, Farid Boussaïd, Abdesselam Bouzerdoum:
A Compact CMOS Face Detection Architecture Based on Shunting Inhibitory Convolutional Neural Networks. DELTA 2008: 374-377 - [c11]Kwan Ting Ng, Chen Shoushun, Farid Boussaïd, Amine Bermak:
Compact Gray-Code Counter/Memory Circuits for Spiking Pixels. DELTA 2008: 506-511 - 2007
- [c10]Mohamad Susli, Farid Boussaïd, Chen Shoushun, Amine Bermak:
Efficient event-drivern frame capture for CMOS imagers. ISSPA 2007: 1-4 - 2005
- [c9]Farid Boussaïd, Chen Shoushun, Amine Bermak:
Versatile on-chip read-out for compound-eye image sensor array. ISSPA 2005: 327-330 - [c8]Farid Boussaïd, Chen Shoushun, Amine Bermak:
A Scalable Low Power Imager Architecture for Compound-Eye Vision Sensors. IWSOC 2005: 203-206 - 2004
- [j2]Farid Boussaïd, Amine Bermak, Abdesselam Bouzerdoum:
An ultra-low power operating technique for mega-pixels current-mediated CMOS imagers. IEEE Trans. Consumer Electron. 50(1): 46-53 (2004) - [c7]Amine Bermak, Farid Boussaïd, Abdesselam Bouzerdoum:
A New read-out circuit for low power current and voltage mediated integrating CMOS imager. DELTA 2004: 35-40 - [c6]Amine Bermak, Farid Boussaïd, Abdesselam Bouzerdoum:
A low power current-mode pixel with on-chip FPN cancellation and digital shutter. ISCAS (2) 2004: 345-348 - 2003
- [c5]Farid Boussaïd, Amine Bermak, Abdesselam Bouzerdoum:
Programmable Multi-Task On-Chip Processing for CMOS Imagers. ICMENS 2003: 227- - [c4]Farid Boussaïd, Douglas Chai, Abdesselam Bouzerdoum:
On-Chip Skin Detection for Color CMOS Imagers. ICMENS 2003: 357- - [c3]Farid Boussaïd, Douglas Chai, Abdesselam Bouzerdoum:
A current-mode VLSI architecture for skin detection. ISSPA (1) 2003: 629-632 - 2001
- [c2]Farid Boussaïd, Amine Bermak, Abdesselam Bouzerdoum:
A wide dynamic range CMOS imager with extended shunting inhibition image processing capabilities. ISCAS (3) 2001: 620-623 - 2000
- [c1]Amine Bermak, Farid Boussaïd, Abdesselam Bouzerdoum:
A digitally programmable current mode analog shunting inhibition cellular neural network. ICECS 2000: 962-965
1990 – 1999
- 1998
- [j1]Farid Boussaïd, François Olivié, Mohamed Benzohra, Augustin Martinez:
On the use of the matrix pencil method for deep level transient spectroscopy: MP-DLTS. IEEE Trans. Instrum. Meas. 47(3): 692-697 (1998)
Coauthor Index
[j49] [j48] [j47] [j46] [j45] [j44] [c57] [c56] [c55] [c54] [c53] [i28] [i27] [i26] [i25] [i24] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [c52] [c51] [c50] [c49] [c48] [d1] [i23] [i22] [i21] [j33] [j32] [j31] [j30] [j29] [c47] [c46] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [j28] [j27] [j26] [c45] [c44] [i10] [i9] [j25] [j24] [j23] [j22] [j21] [i8] [i7] [c43] [c42] [p1] [i6] [j20] [j19] [j18] [j17] [j16] [c41] [c40] [j15] [j14] [c38] [i5] [i4] [i3] [i2] [j13] [j12] [j11] [j10] [c35] [c34] [i1] [j9] [j8] [j6] [c32] [c31] [c30] [c29] [c27] [c25] [c24]
Ferdous Sohel
aka: Ferdous Ahmed Sohel
aka: Ferdous Ahmed Sohel
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