2024 ICRA 2024 CVAE-SM: A Conditional Variational Autoencoder with Style Modulation for Efficient Uncertainty Quantification Amin Ullah, Taiqing Yan, and Fuxin Li IEEE International Conference on Robotics and Automation (ICRA), 2024 Bib HTML PDF Code Dataset @article{ullah2024ICRA, author = {Ullah, Amin and Yan, Taiqing and Li, Fuxin}, journal = {IEEE International Conference on Robotics and Automation (ICRA)}, volume = {0}, number = {0}, pages = {10786-10792}, year = {2024}, publisher = {IEEE}, dimensions = {true}, doi = {10.1109/ICRA57147.2024.10611160}, dataset = {https://drive.google.com/drive/folders/1dL5-hos6iCvAwG2qCPWT7DIbdND3y4_2?usp=sharing}, } 2023 ACM Comp Surveys A comprehensive review on vision-based violence detection in surveillance videos Fath U Min Ullah, Mohammad S Obaidat, Amin Ullah, and 3 more authors ACM Computing Surveys, 2023 Bib HTML PDF @article{ullah2023comprehensive, title = {A comprehensive review on vision-based violence detection in surveillance videos}, author = {Ullah, Fath U Min and Obaidat, Mohammad S and Ullah, Amin and Muhammad, Khan and Hijji, Mohammad and Baik, Sung Wook}, journal = {ACM Computing Surveys}, volume = {55}, number = {10}, pages = {1--44}, year = {2023}, publisher = {ACM New York, NY}, dimensions = {true}, doi = {10.1145/3561971}, } 2022 Deep Learning Assists Surveillance Experts: Toward Video Data Prioritization Tanveer Hussain, Fath U Min Ullah, Samee Ullah Khan, and 5 more authors IEEE Transactions on Industrial Informatics, 2022 Bib HTML PDF Code @article{hussain2022deep, title = {Deep Learning Assists Surveillance Experts: Toward Video Data Prioritization}, author = {Hussain, Tanveer and Ullah, Fath U Min and Khan, Samee Ullah and Ullah, Amin and Haroon, Umair and Muhammad, Khan and Baik, Sung Wook and de Albuquerque, Victor Hugo C}, journal = {IEEE Transactions on Industrial Informatics}, year = {2022}, publisher = {IEEE}, dimensions = {true}, doi = {10.1109/TII.2022.3213569}, } FGCS Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data Waseem Ullah, Amin Ullah, Tanveer Hussain, and 5 more authors Future Generation Computer Systems, 2022 Bib HTML PDF @article{ullah2022artificial, title = {Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data}, author = {Ullah, Waseem and Ullah, Amin and Hussain, Tanveer and Muhammad, Khan and Heidari, Ali Asghar and Del Ser, Javier and Baik, Sung Wook and De Albuquerque, Victor Hugo C}, journal = {Future Generation Computer Systems}, volume = {129}, pages = {286--297}, year = {2022}, publisher = {Elsevier}, dimensions = {true}, doi = {10.1016/j.future.2021.10.033}, } IEEE THMS A multi-stream sequence learning framework for human interaction recognition Umair Haroon, Amin Ullah, Tanveer Hussain, and 5 more authors IEEE Transactions on Human-Machine Systems, 2022 Bib HTML PDF @article{haroon2022multi, title = {A multi-stream sequence learning framework for human interaction recognition}, author = {Haroon, Umair and Ullah, Amin and Hussain, Tanveer and Ullah, Waseem and Sajjad, Muhammad and Muhammad, Khan and Lee, Mi Young and Baik, Sung Wook}, journal = {IEEE Transactions on Human-Machine Systems}, volume = {52}, number = {3}, pages = {435--444}, year = {2022}, publisher = {IEEE}, dimensions = {true}, doi = {10.1109/THMS.2021.3138708}, } IJIS An intelligent system for complex violence pattern analysis and detection Fath U Min Ullah, Mohammad S Obaidat, Khan Muhammad, and 5 more authors International Journal of Intelligent Systems, 2022 Bib HTML PDF @article{ullah2022intelligent, title = {An intelligent system for complex violence pattern analysis and detection}, author = {Ullah, Fath U Min and Obaidat, Mohammad S and Muhammad, Khan and Ullah, Amin and Baik, Sung Wook and Cuzzolin, Fabio and Rodrigues, Joel JPC and de Albuquerque, Victor Hugo C}, journal = {International Journal of Intelligent Systems}, volume = {37}, number = {12}, pages = {10400--10422}, year = {2022}, publisher = {Wiley Online Library}, dimensions = {true}, doi = {10.1002/int.22537}, } 2021 FGCS Human action recognition using attention based LSTM network with dilated CNN features Khan Muhammad, Amin Ullah, Ali Shariq Imran, and 5 more authors Future Generation Computer Systems, 2021 Bib HTML PDF @article{muhammad2021human, title = {Human action recognition using attention based LSTM network with dilated CNN features}, author = {Muhammad, Khan and Ullah, Amin and Imran, Ali Shariq and Sajjad, Muhammad and Kiran, Mustafa Servet and Sannino, Giovanna and de Albuquerque, Victor Hugo C and others}, journal = {Future Generation Computer Systems}, volume = {125}, pages = {820--830}, year = {2021}, publisher = {Elsevier}, dimensions = {true}, doi = {10.1016/j.future.2021.06.045}, } JRTIP SD-Net: Understanding overcrowded scenes in real-time via an efficient dilated convolutional neural network Noman Khan, Amin Ullah, Ijaz Ul Haq, and 2 more authors Journal of Real-Time Image Processing, 2021 Bib HTML PDF @article{khan2021sd, title = {SD-Net: Understanding overcrowded scenes in real-time via an efficient dilated convolutional neural network}, author = {Khan, Noman and Ullah, Amin and Haq, Ijaz Ul and Menon, Varun G and Baik, Sung Wook}, journal = {Journal of Real-Time Image Processing}, volume = {18}, pages = {1729--1743}, year = {2021}, publisher = {Springer}, dimensions = {true}, doi = {10.1007/s11554-020-01020-8}, } IEEE IoTJ Ai-driven salient soccer events recognition framework for next generation iot-enabled environments Khan Muhammad, Hayat Ullah, Mohammad S Obaidat, and 4 more authors IEEE Internet of Things Journal, 2021 Bib HTML PDF Code Dataset @article{muhammad2021ai, title = {Ai-driven salient soccer events recognition framework for next generation iot-enabled environments}, author = {Muhammad, Khan and Ullah, Hayat and Obaidat, Mohammad S and Ullah, Amin and Munir, Arslan and Sajjad, Muhammad and De Albuquerque, Victor Hugo C}, journal = {IEEE Internet of Things Journal}, year = {2021}, publisher = {IEEE}, dimensions = {true}, doi = {10.1109/JIOT.2021.3110341}, dataset = {https://github.com/hayatkhan8660-maker/SVE-Dataset}, } Deep learning for safe autonomous driving: Current challenges and future directions Khan Muhammad, Amin Ullah, Jaime Lloret, and 2 more authors IEEE Transactions on Intelligent Transportation Systems, 2021 Bib HTML PDF @article{muhammad2020deep, title = {Deep learning for safe autonomous driving: Current challenges and future directions}, author = {Muhammad, Khan and Ullah, Amin and Lloret, Jaime and Del Ser, Javier and de Albuquerque, Victor Hugo C}, journal = {IEEE Transactions on Intelligent Transportation Systems}, year = {2021}, volume = {22}, number = {7}, pages = {4316-4336}, publisher = {IEEE}, dimensions = {true}, doi = {10.1109/TITS.2020.3032227}, } MTAP CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks Waseem Ullah, Amin Ullah, Ijaz Ul Haq, and 3 more authors Multimedia tools and applications, 2021 Bib HTML PDF @article{ullah2021cnn, title = {CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks}, author = {Ullah, Waseem and Ullah, Amin and Haq, Ijaz Ul and Muhammad, Khan and Sajjad, Muhammad and Baik, Sung Wook}, journal = {Multimedia tools and applications}, volume = {80}, pages = {16979--16995}, year = {2021}, publisher = {Springer}, dimensions = {true}, doi = {10.1007/s11042-020-09406-3}, } Conflux LSTMs network: A novel approach for multi-view action recognition Amin Ullah, Khan Muhammad, Tanveer Hussain, and 1 more author Neurocomputing, 2021 Bib HTML PDF @article{ullah2021conflux, title = {Conflux LSTMs network: A novel approach for multi-view action recognition}, author = {Ullah, Amin and Muhammad, Khan and Hussain, Tanveer and Baik, Sung Wook}, journal = {Neurocomputing}, volume = {435}, pages = {321--329}, year = {2021}, publisher = {Elsevier}, dimensions = {true}, doi = {10.1016/j.neucom.2019.12.151}, } Sensors An efficient anomaly recognition framework using an attention residual LSTM in surveillance videos Waseem Ullah, Amin Ullah, Tanveer Hussain, and 2 more authors Sensors, 2021 Bib HTML PDF @article{ullah2021efficient, title = {An efficient anomaly recognition framework using an attention residual LSTM in surveillance videos}, author = {Ullah, Waseem and Ullah, Amin and Hussain, Tanveer and Khan, Zulfiqar Ahmad and Baik, Sung Wook}, journal = {Sensors}, volume = {21}, number = {8}, pages = {2811}, year = {2021}, publisher = {MDPI}, dimensions = {true}, doi = {10.3390/s21082811}, } Densely deformable efficient salient object detection network Tanveer Hussain, Saeed Anwar, Amin Ullah, and 2 more authors arXiv preprint arXiv:2102.06407, 2021 Bib HTML PDF Code @article{hussain2021densely, title = {Densely deformable efficient salient object detection network}, author = {Hussain, Tanveer and Anwar, Saeed and Ullah, Amin and Muhammad, Khan and Baik, Sung Wook}, journal = {arXiv preprint arXiv:2102.06407}, year = {2021}, dimensions = {true}, doi = {2102.06407}, } Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications Amin Ullah, Khan Muhammad, Weiping Ding, and 3 more authors Applied Soft Computing, 2021 Bib HTML PDF @article{ullah2021efficienu, title = {Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications}, author = {Ullah, Amin and Muhammad, Khan and Ding, Weiping and Palade, Vasile and Haq, Ijaz Ul and Baik, Sung Wook}, journal = {Applied Soft Computing}, volume = {103}, pages = {107102}, year = {2021}, publisher = {Elsevier}, dimensions = {true}, doi = {10.1016/j.asoc.2021.107102}, } MTAP Deep-ReID: Deep features and autoencoder assisted image patching strategy for person re-identification in smart cities surveillance Samee Ullah Khan, Tanveer Hussain, Amin Ullah, and 1 more author Multimedia Tools and Applications, 2021 Bib HTML PDF @article{khan2021deep, author = {Khan, Samee Ullah and Hussain, Tanveer and Ullah, Amin and Baik, Sung Wook}, journal = {Multimedia Tools and Applications}, pages = {1--22}, year = {2021}, publisher = {Springer}, dimensions = {true}, doi = {10.1007/s11042-020-10145-8}, } 2020 Event-oriented 3D convolutional features selection and hash codes generation using PCA for video retrieval Amin Ullah, Khan Muhammad, Tanveer Hussain, and 2 more authors IEEE Access, 2020 Bib HTML PDF @article{ullah2020event, author = {Ullah, Amin and Muhammad, Khan and Hussain, Tanveer and Baik, Sung Wook and De Albuquerque, Victor Hugo C}, journal = {IEEE Access}, volume = {8}, pages = {196529--196540}, year = {2020}, publisher = {IEEE}, dimensions = {true}, doi = {10.1109/ACCESS.2020.3029834}, } Multiview summarization and activity recognition meet edge computing in IoT environments Tanveer Hussain, Khan Muhammad, Amin Ullah, and 5 more authors IEEE Internet of Things Journal, 2020 Bib HTML PDF Code @article{hussain2020multiview, title = {Multiview summarization and activity recognition meet edge computing in IoT environments}, author = {Hussain, Tanveer and Muhammad, Khan and Ullah, Amin and Del Ser, Javier and Gandomi, Amir H and Sajjad, Muhammad and Baik, Sung Wook and de Albuquerque, Victor Hugo C}, journal = {IEEE Internet of Things Journal}, volume = {8}, number = {12}, pages = {9634--9644}, year = {2020}, publisher = {IEEE}, dimensions = {true}, doi = {10.1109/JIOT.2020.3027483}, } One-shot learning for surveillance anomaly recognition using siamese 3d cnn Amin Ullah, Khan Muhammad, Killichbek Haydarov, and 3 more authors In 2020 International Joint Conference on Neural Networks (IJCNN), 2020 Bib HTML PDF @inproceedings{ullah2020one, title = {One-shot learning for surveillance anomaly recognition using siamese 3d cnn}, author = {Ullah, Amin and Muhammad, Khan and Haydarov, Killichbek and Haq, Ijaz Ul and Lee, Miyoung and Baik, Sung Wook}, booktitle = {2020 International Joint Conference on Neural Networks (IJCNN)}, pages = {1--8}, year = {2020}, organization = {IEEE}, dimensions = {true}, doi = {10.1109/IJCNN48605.2020.9207595}, } 2019 Cloud-assisted multiview video summarization using CNN and bidirectional LSTM Tanveer Hussain, Khan Muhammad, Amin Ullah, and 3 more authors IEEE Transactions on Industrial Informatics, 2019 Bib HTML PDF Code @article{hussain2019cloud, title = {Cloud-assisted multiview video summarization using CNN and bidirectional LSTM}, author = {Hussain, Tanveer and Muhammad, Khan and Ullah, Amin and Cao, Zehong and Baik, Sung Wook and de Albuquerque, Victor Hugo C}, journal = {IEEE Transactions on Industrial Informatics}, volume = {16}, number = {1}, pages = {77--86}, year = {2019}, publisher = {IEEE}, dimensions = {true}, doi = {10.1109/TII.2019.2929228}, } Action recognition using optimized deep autoencoder and CNN for surveillance data streams of non-stationary environments Amin Ullah, Khan Muhammad, Ijaz Ul Haq, and 1 more author Future Generation Computer Systems, 2019 Bib HTML PDF @article{ullah2019action, author = {Ullah, Amin and Muhammad, Khan and Haq, Ijaz Ul and Baik, Sung Wook}, journal = {Future Generation Computer Systems}, volume = {96}, pages = {386--397}, year = {2019}, publisher = {Elsevier}, dimensions = {true}, doi = {10.1016/j.future.2019.01.029}, } Sensors Violence detection using spatiotemporal features with 3D convolutional neural network Fath U Min Ullah, Amin Ullah, Khan Muhammad, and 2 more authors Sensors, 2019 Bib HTML PDF @article{ullah2019violence, title = {Violence detection using spatiotemporal features with 3D convolutional neural network}, author = {Ullah, Fath U Min and Ullah, Amin and Muhammad, Khan and Haq, Ijaz Ul and Baik, Sung Wook}, journal = {Sensors}, volume = {19}, number = {11}, pages = {2472}, year = {2019}, publisher = {MDPI}, dimensions = {true}, doi = {10.3390/s19112472}, } Personalized movie summarization using deep cnn-assisted facial expression recognition Ijaz Ul Haq, Amin Ullah, Khan Muhammad, and 2 more authors Complexity, 2019 Bib HTML PDF @article{ul2019personalized, title = {Personalized movie summarization using deep cnn-assisted facial expression recognition}, author = {Ul Haq, Ijaz and Ullah, Amin and Muhammad, Khan and Lee, Mi Young and Baik, Sung Wook}, journal = {Complexity}, volume = {2019}, pages = {1--10}, year = {2019}, publisher = {Hindawi Limited}, dimensions = {true}, doi = {10.1155/2019/3581419}, } IEEE IoTJ Efficient image recognition and retrieval on IoT-assisted energy-constrained platforms from big data repositories Irfan Mehmood, Amin Ullah, Khan Muhammad, and 5 more authors IEEE Internet of Things Journal, 2019 Bib HTML PDF @article{mehmood2019efficient, title = {Efficient image recognition and retrieval on IoT-assisted energy-constrained platforms from big data repositories}, author = {Mehmood, Irfan and Ullah, Amin and Muhammad, Khan and Deng, Der-Jiunn and Meng, Weizhi and Al-Turjman, Fadi and Sajjad, Muhammad and de Albuquerque, Victor Hugo C}, journal = {IEEE Internet of Things Journal}, volume = {6}, number = {6}, pages = {9246--9255}, year = {2019}, publisher = {IEEE}, dimensions = {true}, doi = {10.1109/JIOT.2019.2896151}, } IEEE Access DeepStar: Detecting starring characters in movies Ijaz Ul Haq, Khan Muhammad, Amin Ullah, and 1 more author IEEE Access, 2019 Bib HTML PDF @article{haq2019deepstar, title = {DeepStar: Detecting starring characters in movies}, author = {Haq, Ijaz Ul and Muhammad, Khan and Ullah, Amin and Baik, Sung Wook}, journal = {IEEE Access}, volume = {7}, pages = {9265--9272}, year = {2019}, publisher = {IEEE}, dimensions = {true}, doi = {10.1109/ACCESS.2018.2890560}, } JoCS Multi-grade brain tumor classification using deep CNN with extensive data augmentation Muhammad Sajjad, Salman Khan, Khan Muhammad, and 3 more authors Journal of computational science, 2019 Bib HTML PDF @article{sajjad2019multi, title = {Multi-grade brain tumor classification using deep CNN with extensive data augmentation}, author = {Sajjad, Muhammad and Khan, Salman and Muhammad, Khan and Wu, Wanqing and Ullah, Amin and Baik, Sung Wook}, journal = {Journal of computational science}, volume = {30}, pages = {174--182}, year = {2019}, publisher = {Elsevier}, dimensions = {true}, doi = {10.1016/j.jocs.2018.12.003}, } 2018 Activity recognition using temporal optical flow convolutional features and multilayer LSTM Amin Ullah, Khan Muhammad, Javier Del Ser, and 2 more authors IEEE Transactions on Industrial Electronics, 2018 Bib HTML PDF Code @article{ullah2018activity, title = {Activity recognition using temporal optical flow convolutional features and multilayer LSTM}, author = {Ullah, Amin and Muhammad, Khan and Del Ser, Javier and Baik, Sung Wook and de Albuquerque, Victor Hugo C}, journal = {IEEE Transactions on Industrial Electronics}, volume = {66}, number = {12}, pages = {9692--9702}, year = {2018}, publisher = {IEEE}, dimensions = {true}, doi = {10.1109/TIE.2018.2881943}, } Integrating salient colors with rotational invariant texture features for image representation in retrieval systems Muhammad Sajjad, Amin Ullah, Jamil Ahmad, and 3 more authors Multimedia Tools and Applications, 2018 Bib HTML PDF @article{sajjad2018integrating, title = {Integrating salient colors with rotational invariant texture features for image representation in retrieval systems}, author = {Sajjad, Muhammad and Ullah, Amin and Ahmad, Jamil and Abbas, Naveed and Rho, Seungmin and Baik, Sung Wook}, journal = {Multimedia Tools and Applications}, volume = {77}, pages = {4769--4789}, year = {2018}, publisher = {Springer}, dimensions = {true}, doi = {10.1007/s11042-017-5010-5}, } 2017 IEEE Access Action recognition in video sequences using deep bi-directional LSTM with CNN features Amin Ullah, Jamil Ahmad, Khan Muhammad, and 2 more authors IEEE access, 2017 Bib HTML PDF Code @article{ullah2017action, title = {Action recognition in video sequences using deep bi-directional LSTM with CNN features}, author = {Ullah, Amin and Ahmad, Jamil and Muhammad, Khan and Sajjad, Muhammad and Baik, Sung Wook}, journal = {IEEE access}, volume = {6}, pages = {1155--1166}, year = {2017}, publisher = {IEEE}, dimensions = {true}, doi = {10.1109/ACCESS.2017.2778011}, }