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Saeed Anwar

I'm currently with ANU.

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Publications

2024

  • C. Qian, M. Rezaei, S. Anwar, W. Li, T. Hussain, M. Azarmi and W. Wang
    “AllWeather-Net: Unified Image Enhancement for Autonomous Driving Under Adverse Weather and Low-Light Conditions,”
    International Conference on Pattern Recognition (ICPR), Oral, 2024. [Best Paper Award]
    [BibTeX] [ICPR Version] [arXiv] [Project Page]

    @InProceedings{Qian2024AllWeatherNet,
      title={AllWeather-Net: Unified Image Enhancement for Autonomous Driving Under Adverse Weather and Low-Light Conditions}, 
      author={Chenghao Qian and Mahdi Rezaei and Saeed Anwar and Wenjing Li and Tanveer Hussain and Mohsen Azarmi and Wei Wang},
      booktitle={International Conference on Pattern Recognition (ICPR)},
      year={2024},
      organization={IEEE}
    }
    
  • R. Cui, S. Qiu, J. Liu, S. Anwar, N. Barnes
    “NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds,”
    arXiv e-prints , 2024.
    [BibTeX] [arXiv] [Project Page]

    @Article{Cui2024numgrad,
          title={NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds}, 
          author={Ruikai Cui and Shi Qiu and Jiawei Liu and Saeed Anwar and Nick Barnes},
          year={2024},
          eprint={2411.17392},
          archivePrefix={arXiv},
          primaryClass={cs.CV},
          url={https://arxiv.org/abs/2411.17392}, 
    }
    
  • A. Munir, A. J. Siddiqui, S. Anwar, A. El-Maleh, A. H. Khan and A. Rehman
    “Impact of Adverse Weather and Image Distortions on Vision-Based UAV Detection: A Performance Evaluation of Deep Learning Models,”
    Drones, 2024.
    [BibTeX] [Official PDF] [Project Page]

    @Article{Munir2024drones,
      AUTHOR = {Munir, Adnan and Siddiqui, Abdul Jabbar and Anwar, Saeed and El-Maleh, Aiman and Khan, Ayaz H. and Rehman, Aqsa},
      TITLE = {Impact of Adverse Weather and Image Distortions on Vision-Based UAV Detection: A Performance Evaluation of Deep Learning Models},
      JOURNAL = {Drones},
      VOLUME = {8},
      YEAR = {2024},
      NUMBER = {11},
      ARTICLE-NUMBER = {638}
    }
    
  • M. T. Islam, I. Alam, S. S. Woo, S. Anwar, I. H. Lee and K. Muhammad
    “LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyond,”
    Asian Conference on Computer Vision (ACCV), 2024.
    [BibTeX] [ACCV Version (N/A)] [arXiv] [Project Page]

    @inproceedings{Islam2024loli,
          title={LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyond}, 
          author={Md Tanvir Islam and Inzamamul Alam and Simon S. Woo and Saeed Anwar and IK Hyun Lee and Khan Muhammad},
          booktitle={Proceedings of the Asian Conference on Computer Vision (ACCV)},
          year={2024}
    }
    
  • Z. Luo, W. Fu, S. Liu, S. Anwar, M. Saqib, S. Bakshi, and K. Muhammad
    “Cefdet: Cognitive Effectiveness Network Based on Fuzzy Inference for Action Detection,”
    ACM International Conference on Multimedia (ACM MM), 2024.
    [BibTeX] [MM Version] [arXiv] [Project Page]

    @inproceedings{Zhe2024Cefdet,
      title={Cefdet: Cognitive Effectiveness Network Based on Fuzzy Inference for Action Detection}, 
      author={Zhe Luo and Weina Fu and Shuai Liu and Saeed Anwar and Muhammad Saqib and Sambit Bakshi and Khan Muhammad},
      booktitle={Proceedings of the 32nd ACM International Conference on Multimedia},
      year={2024},
      doi = {10.1145/3664647.3681226}
    }
    
  • M. T. Islam, N. Rahim, S. Anwar, M. Saqib, S. Bakshi, and K. Muhammad
    “HazeSpace2M: A Dataset for Haze Aware Single Image Dehazing,”
    ACM International Conference on Multimedia (ACM MM), 2024.
    [BibTeX] [MM Version] [arXiv] [Project Page]

    @inproceedings{Islam2024HazeSpace2M,
      title={HazeSpace2M: A Dataset for Haze Aware Single Image Dehazing},
      author={Islam, Md Tanvir and Rahim, Nasir and Anwar, Saeed and Saqib Muhammad and Bakshi, Sambit and Muhammad, Khan},
      booktitle={Proceedings of the 32nd ACM International Conference on Multimedia},
      year={2024},
      doi = {10.1145/3664647.3681382}
    }
    
  • S. Anwar, M. Tahir, C. Li, A. Mian, F. S. Khan, and A. W. Muzaffar
    “Image Colorization: A Survey and Dataset,”
    Information Fusion (IF), 2024.
    [BibTeX] [Official PDF] [arXiv] [Project Page]

    @article{Anwar2024ColorSurvey,
      title={Image Colorization: A Survey and Dataset},
      author={Anwar, Saeed and Tahir, Muhammad and Li, Chongyi and Mian, Ajmal and Khan, Fahad Shahbaz and Muzaffar, Abdul Wahab},
      journal={Information Fusion},
      year={2024},
      publisher={Elsevier}
    }
    
  • F. U. M. Ullah, Z. A. Khan, S. W. Baik, E. Talavera, S. Anwar and K. Muhammad
    “Dual Deep Learning Network for Abnormal Action Detection,”
    IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2024.
    [BibTeX] [AVSS Version] [Project Page]

    @InProceedings{Ullah2024Detection,
      author={Ullah, Fath U Min and Khan, Zulfiqar Ahmad and Baik, Sung Wook and Talavera, Estefania and Anwar, Saeed and Muhammad, Khan},
      booktitle={IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)}, 
      title={Dual Deep Learning Network for Abnormal Action Detection}, 
      year={2024},
      pages={1-8},
    }
    
  • M. Alsaafin, M. Alsheikh, S. Anwar, M. Usman
    “Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality Assessment,”
    International conference on image processing (ICIP), 2024.
    [BibTeX] [ICIP Version] [arXiv] [Project Page]

    @InProceedings{Alsaafin2024NRIQA,
      title={Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality Assessment}, 
      author={Mohammed Alsaafin and Musab Alsheikh and Saeed Anwar and Muhammad Usman},
      booktitle={International conference on image processing (ICIP)},
      year={2024},
      organization={IEEE}
    }
    
  • Y. He, H. Yu, X. Liu, Z. Yang, W. Sun, S. Anwar and A. Mian
    “Deep Learning Based 3D Segmentation: A Survey,”
    Information Fusion (IF), 2024.
    [BibTeX] [arXiv]

    @article{he2024deeplearningbased3d,
          title={Deep Learning Based 3D Segmentation: A Survey}, 
          author={Yong He and Hongshan Yu and Xiaoyan Liu and Zhengeng Yang and Wei Sun and Saeed Anwar and Ajmal Mian},
          journal={Information Fusion},
          year={2024},
          publisher={Elsevier}
    }
    
  • M. Alzahrani, M. Usman, S. Kammoun, S. Anwar and T. Helmy
    “Deep Models for Multi-View 3D Object Recognition: A Review,”
    Artificial Intelligence Review (AIR), 2024.
    [BibTeX] [Official PDF] [arXiv]

    @article{alzahrani20243DSurvey,
          title={Deep Models for Multi-View 3D Object Recognition: A Review}, 
          author={Mona Alzahrani and Muhammad Usman and Salma Kammoun and Saeed Anwar and Tarek Helmy},
          journal={Artificial Intelligence Review},
          volume={},
          pages={},
          year={2024},
          publisher={Springer}
    }
    
  • M. Alzahrani, M. Usman, S. Anwar, and T. Helmy
    “Selective Multi-View Deep Model for 3D Object Classification,”
    IEEE Computer Vision and Pattern Recognition Workshops (CVPRW), 2024.
    [BibTeX] [CVPR Version] [Supp] [Project Page]

    @InProceedings{Alzahrani2024Selective,
        author    = {Alzahrani, Mona and Usman, Muhammad and Anwar, Saeed and Helmy, Tarek},
        title     = {Selective Multi-View Deep Model for 3D Object Classification},
        booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
        month     = {June},
        year      = {2024},
        pages     = {728-736}
    }
    
  • M. H. Asad, S. Anwar and A. Bais
    “Improved Crop and Weed Detection with Diverse Data Ensemble Learning,”
    IEEE Computer Vision and Pattern Recognition Workshops (CVPRW), Oral, 2024.
    [BibTeX] [CVPR Version] [arXiv]

    @InProceedings{asad2024improved,
        author    = {Asad, Muhammad Hamza and Anwar, Saeed and Bais, Abdul},
        title     = {Improved Crop and Weed Detection with Diverse Data Ensemble Learning},
        booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
        month     = {June},
        year      = {2024},
        pages     = {5336-5345}
    
    
  • A. B. M. Ashikur Rahman, Saeed Anwar, M. Usman and A. Mian
    “DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation,”
    arXiv e-prints , 2024.
    [BibTeX] [arXiv] [Project Page]

    @article{rahman2024defan,
          title={DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation}, 
          author={A B M Ashikur Rahman and Saeed Anwar and Muhammad Usman and Ajmal Mian},
          year={2024},
          eprint={2406.09155},
          archivePrefix={arXiv},
    }
    
  • K. Bajbaa, M. Usman, S. Anwar, I. Radwan and A. Bais
    “Bird's-Eye View to Street-View: A Survey,”
    arXiv e-prints , 2024.
    [BibTeX] [arXiv]

    @article{bajbaa2024birdseye,
          title={Bird's-Eye View to Street-View: A Survey}, 
          author={Khawlah Bajbaa and Muhammad Usman and Saeed Anwar and Ibrahim Radwan and Abdul Bais},
          year={2024},
          eprint={2405.08961},
          archivePrefix={arXiv}
    }
    
  • A. A. Hasanaath, H. Luqman, R. Katib and S. Anwar
    “FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images,”
    arXiv e-prints , 2024.
    [BibTeX] [arXiv] [Project Page]

    @article{hasanaath2024fsbi,
          title={FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images}, 
          author={Ahmed Abul Hasanaath and Hamzah Luqman and Raed Katib and Saeed Anwar},
          year={2024},
          eprint={2406.08625},
          archivePrefix={arXiv}
    }
    
  • M. Hassanin, S. Anwar, I. Radwan, F. S. Khan, A. Mian
    “Visual Attention Methods in Deep Learning: An In-Depth Survey,”
    Information Fusion (IF), 2024.
    [BibTeX] [Official PDF] [arXiv]

    @article{Hassanin2024attention,
      title={Visual attention methods in deep learning: An in-depth survey},
      author={Hassanin, Mohammed and Anwar, Saeed and Radwan, Ibrahim and Khan, Fahad Shahbaz and Mian, Ajmal},
      journal={Information Fusion},
      pages={102417},
      year={2024},
      publisher={Elsevier}
    }
    
  • Y. Zhang, Z. Qin, S. Anwar, D. Kim, Y. Liu, P. Ji, and T. Gedeon
    “Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions,”
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
    [BibTeX] [TNNLS] [arXiv] [Project Page]

    @article{Qin2024PSGNN,
      author={Zhang, Yiqun and Qin, Zhenyue and Anwar, Saeed and Kim, Dongwoo and Liu, Yang and Ji, Pan and Gedeon, Tom},
      journal={IEEE Transactions on Neural Networks and Learning Systems}, 
      title={Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions}, 
      year={2024},
      volume={},
      number={},
      pages={1-8},
    }
    
  • A. Munir, A. J. Siddiqui, and S. Anwar
    “Investigation of UAV Detection in Images With Complex Backgrounds and Rainy Artifacts,”
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Workshops, 2024.
    [BibTeX] [WACV Version] [arXiv] [Project Page]

    @article{munir2024investigation,
      title={Investigation of UAV Detection in Images With Complex Backgrounds and Rainy Artifacts},
      author={Munir, Adnan and Siddiqui, Abdul Jabbar and Anwar, Saeed},
      booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
      pages={221--230},
      year={2024}
    }
    
  • H. Naveed, S. Anwar, M. Hayat, K. Javed, and A. Mian
    “Survey: Image Mixing and Deleting for Data Augmentation,”
    Journal Engineering Applications of Artificial Intelligence (EAAI), 2024.
    [BibTeX] [Official PDF] [arXiv] [Project Page]

    @article{Humza2023Aug,
      title = {Survey: Image Mixing and Deleting for Data Augmentation},
      author = {Naveed, Humza and Anwar, Saeed and Hayat, Munawar and Javed, Kashif and Mian, Ajmal},  
      publisher = {Journal Engineering Applications of Artificial Intelligence},
      year={2024}
    }
    
  • 2023

  • S. Anwar, N. Barnes, and L. Petersson
    “A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers,”
    Electronics, 2023.
    [BibTeX] [arXiv] [Official PDF] [Project Page]

    @article{Anwar2023Systematic,
     title={A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers},
     author={Saeed Anwar and Nick Barnes and Lars Petersson},
     journal = {Electronics},
     volume = {12},
     year = {2023},
     number = {23},
     article-number = {4877},
    }
    
  • H. Naveed, A. U. Khan, S. Qiu, M. Saqib, S. Anwar, M. Usman, N. Barnes, and A. Mian
    “A Comprehensive Overview of Large Language Models,”
    ArXiv e-prints , 2023.
    [BibTeX] [arXiv] [Project Page]

    @article{Humza2023LLMs,
      title = {A Comprehensive Overview of Large Language Models},
      author={Humza Naveed and Asad Ullah Khan and Shi Qiu and Muhammad Saqib and Saeed Anwar and Muhammad Usman and Nick Barnes and Ajmal Mian},  
      publisher = {arXiv},
      year={2023}
    }
    
  • R. Cui, S. Qiu, S. Anwar, J. Liu, C. Xing, J. Zhang and N. Barnes
    “P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds,”
    IEEE International Conference on Computer Vision (ICCV), 2023
    [BibTeX] [arXiv] [ICCV Version] [Project Page]

    @InProceedings{Ruikai2023P2C,
    author = {Ruikai Cui and Shi Qiu and Saeed Anwar and Jiawei Liu and Chaoyue Xing and Jing Zhang and Nick Barnes},
    title = {P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds},
    booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
    year = {2023}
    }
    
  • M. Ibrahim, N. Akhtar, S. Anwar, and A. Mian
    “UnLoc: A Universal Localization Method for LiDAR, RADAR and/or Camera Input,”
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
    [BibTeX] [arXiv] [IROS Version] [Project Page]

    @article{Ibrahim2023UnLoc,
      title={UnLoc: A Universal Localization Method for LiDAR, RADAR and/or Camera Input},
      author={Ibrahim, Muhammad and Akhtar, Naveed and Anwar, Saeed and Mian, Ajmal},
      journal={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      year={2023}
    }
    
  • Z. M. Malakan, S. Anwar, G. M. Hassan, and A. Mian
    “Sequential Vision to Language as Story: A Storytelling Dataset and Benchmarking,”
    IEEE Access , 2023.
    [BibTeX] [IEEE Version] [Project Page]

    @article{Zainy2023SSID,
      author={Malakan, Zainy M. and Anwar, Saeed and Hassan, Ghulam Mubashar and Mian, Ajmal},
      journal={IEEE Access}, 
      title={Sequential Vision to Language as Story: A Storytelling Dataset and Benchmarking}, 
      year={2023},
      volume={},
      number={},
      pages={1-1},
      doi={10.1109/ACCESS.2023.3293646}}
    
  • M. Ibrahim, N. Akhtar, S. Anwar, and A. Mian
    “SAT3D: Slot Attention Transformer for 3D Point Cloud Semantic Segmentation,”
    IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023.
    [BibTeX] [Official PDF] [Project Page]

    @article{Ibrahim2023SAT3D,
      title={SAT3D: Slot Attention Transformer for 3D Point Cloud Semantic Segmentation},
      author={Ibrahim, Muhammad and Akhtar, Naveed and Anwar, Saeed and Mian, Ajmal},
      journal={IEEE Transactions on Intelligent Transportation Systems (T-ITS)},
      year={2023}
    }
    
  • M. Ibrahim, N. Akhtar, S. Anwar, M. Wise and A. Mian
    “Slice Transformer and Self-supervised Learning for 6DoF Localization in 3D Point Cloud Maps,”
    IEEE International Conference on Robotics and Automation (ICRA), 2023.
    [BibTeX] [Official PDF] [arXiv] [Project Page]

    @article{Ibrahim2023slice,
      title={Slice Transformer and Self-supervised Learning for 6DoF Localization in 3D Point Cloud Maps},
      author={Ibrahim, Muhammad and Akhtar, Naveed and Anwar, Saeed and Wise, Michael and Mian, Ajmal},
      journal={IEEE International Conference on Robotics and Automation (ICRA)},
      year={2023}
    }
    
  • J. Hong, S. Qiu, W. Li, S. Anwar, M. Harandi, N. Barnes, L. Petersson
    “PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis,”
    ArXiv e-prints , 2023.
    [BibTeX] [arXiv] [Project Page]

    @article{hong2022pointcam,
      title={PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis},
      author={Hong, Jie and Qiu, Shi and Li, Weihao and Anwar, Saeed and Harandi, Mehrtash and Barnes, Nick and Petersson, Lars},
      journal={arXiv preprint arXiv:2212.02011},
      year={2022}
    }
    
  • 2022

  • Y. Liu, S. Anwar, Z. Qin, P. Ji, S. Caldwell and T. Gedeon
    “Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network,”
    Sensors, 2022.
    [BibTeX] [Official PDF] [arXiv] [Project Page]

    @article{Liu2022FDN,
      title={Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network},
      author={Liu, Yang and Anwar, Saeed and Qin, Zhenyue and Ji, Pan and Caldwell, Sabrina and Gedeon, Tom},
      journal = {Sensors},
      volume = {22},
      year = {2022},
      number = {24},
      article-number = {9844},
      PubMedID = {36560213},
      issn = {1424-8220}
    }
    
  • R. Cui, S. Qiu, S. Anwar, J. Zhang and N. Barnes
    “Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion,”
    British Machine Vision Conference (BMVC), 2022.
    [BibTeX] [BMVC] [Supp] [arXiv] [Poster] [Video] [Project Page]

    @InProceedings{Ruikai2022EBM,
          title={Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion}, 
          author={Ruikai Cui and Shi Qiu and Saeed Anwar and Jing Zhang and Nick Barnes},
          booktitle={British Machine Vision Conference (BMVC)},
          year={2022}
    }
    
  • S. Qiu, S. Anwar and N. Barnes
    “PU-Transformer: Point Cloud Upsampling Transformer,”
    Asian Conference on Computer Vision (ACCV), 2022.
    [BibTeX] [ACCV] [arXiv] [Supp] [Poster] [PPT] [Project Page]

    @InProceedings{Shi2021PUTransformer,
          title={PU-Transformer: Point Cloud Upsampling Transformer}, 
          author={Shi Qiu and Saeed Anwar and Nick Barnes},
          booktitle={Proceedings of the Asian Conference on Computer Vision (ACCV)},
          pages={2475--2493},
          year={2022}
    }
    
  • Z. Qin, Y. Liu, P. Ji, D. Kim, L. Wang, B. McKay, S. Anwar and T. Gedeon
    “Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition,”
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
    [BibTeX] [arXiv] [Project Page]

    @article{qin2022leveraging,
      title={Leveraging Third-Order Features in Skeleton-Based Action Recognition},
      author={Qin, Zhenyue and Liu, Yang and Ji, Pan and Kim, Dongwoo and Wang, Lei and McKay, Bob and Anwar, Saeed and Gedeon, Tom},
      journal={IEEE Transactions on Neural Networks and Learning Systems},
      year={2022}
    }
    
  • A. Anwar, H. Anwar, and S. Anwar
    “Towards Low-Cost Classification for Novel Fine-Grained Datasets,”
    Electronics, 2022.
    [BibTeX] [Official PDF] [Project Page]

    @article{Anwar2022lowCost,
      title={Towards Low-Cost Classification for Novel Fine-Grained Datasets},
      author={Anwar, Abbas and Anwar, Hafeez and Anwar, Saeed},
      journal={Electronics},
      year={2022}
    }
    
  • J. Han, M. Shoeiby, T. Malthus, E. Botha, J. Anstee, S. Anwar, R. Wei, M. A. Armin, H. Li, and L. Petersson
    “Underwater Image Restoration via Contrastive Learning and a Real-world Dataset,”
    Remote Sensing (RS), 2022
    [BibTeX] [Official PDF] [arXiv] [Project Page]

    @article{Han2022CWR,
          title={Underwater Image Restoration via Contrastive Learning and a Real-world Dataset}, 
          author={Junlin Han and Mehrdad Shoeiby and Tim Malthus and Elizabeth Botha and Janet Anstee and Saeed Anwar and Ran Wei and Mohammad Ali Armin and Hongdong Li and Lars Petersson},
          journal={Remote Sensing},
          year={2022}
    }
    
  • Z. Qin, P. Ji, D. Kim, Y. Liu, S. Anwar, and T. Gedeon
    “Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns,”
    European Conference on Computer Vision Workshops (ECCVw), 2022.
    [BibTeX] [ECCV Version] [arXiv]

    @InProceedings{Qin2022Strengthening,
      title={Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns},
      author={Qin, Zhenyue and Kim, Dongwoo and Liu, Yang and Anwar, Saeed and Gedeon, Tom},
      booktitle={European Conference on Computer Vision Workshops},
      year={2022}
    }
    
  • M. Saqib, A. Anwar, S. Anwar, L. Petersson, N. Sharma, and M. Blumenstein
    “COVID19 detection from Radiographs: Is Deep Learning able to handle the crisis?,”
    Signals, 2022.
    [BibTeX] [Official PDF] [arXiv] [Project Page]

    @article{Anwar2022COVID19Detect,
      title={COVID-19 Detection from Radiographs: Is Deep Learning Able to Handle the Crisis?},
      author={Saqib, Muhammad and Anwar, Abbas and Anwar, Saeed and Petersson, Lars and Sharma, Nabin and Blumenstein, Michael},
      journal={Signals},
      volume={3},
      number={2},
      pages={296--312},
      year={2022}
    }
    
  • Z. Qin, Y. Liu, M. Perera, T. Gedeon, P. Ji, D. Kim, S. Anwar
    “ANUBIS: Skeleton Action Recognition Dataset, Review, and Benchmark,”
    ArXiv e-prints, 2022.
    [BibTeX] [arXiv] [Project Page]

    @article{Qin2022ANUBIS,
      title={ANUBIS: Skeleton Action Recognition Dataset, Review, and Benchmark},
      author={Qin, Zhenyue and Liu, Yang and Perera, Madhawa and Gedeon, Tom and Ji, Pan and Kim, Dongwoo and Anwar, Saeed},
      journal={arXiv preprint arXiv:2205.02071},
      year={2022}
    }
    
  • C. Guo, Q. Yan, S. Anwar, R. Cong, W. Ren, and C. Li
    “Image Dehazing Transformer with Transmission-Aware 3D Position Embedding,”
    IEEE Computer Vision and Pattern Recognition (CVPR), 2022.
    [BibTeX] [CVPR] [Project Page]

    @InProceedings{Chunle2022Dehaze,
        author    = {Guo, Chun-Le and Yan, Qixin and Anwar, Saeed and Cong, Runmin and Ren, Wenqi and Li, Chongyi},
        title     = {Image Dehazing Transformer With Transmission-Aware 3D Position Embedding},
        booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
        month     = {June},
        year      = {2022},
        pages     = {5812-5820}
    }
    
  • T. Hussain, A. Anwar, S. Anwar, L. Petersson, S. W. Baik
    “Pyramidal Attention for Saliency Detection,”
    IEEE Computer Vision and Pattern Recognition Workshops (CVPRW), 2022.
    [BibTeX] [CVPR] [arXiv] [Project Page]

    @InProceedings{Hussain2022Pyramidal,
        author    = {Hussain, Tanveer and Anwar, Abbas and Anwar, Saeed and Petersson, Lars and Baik, Sung Wook},
        title     = {Pyramidal Attention for Saliency Detection},
        booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
        month     = {June},
        year      = {2022},
        pages     = {2878-2888}
    }
    
  • Y. Liang, S. Anwar, Y. Liu
    “DRT: A Lightweight Single Image Deraining Recursive Transformer,”
    IEEE Computer Vision and Pattern Recognition Workshops (CVPRW), 2022.
    [BibTeX] [CVPR] [arXiv] [Project Page]

    @InProceedings{Hussain2022Pyramidal,
        author    = {Liang, Yuanchu and Anwar, Saeed and Liu, Yang},
        title     = {DRT: A Lightweight Single Image Deraining Recursive Transformer},
        booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
        month     = {June},
        year      = {2022},
        pages     = {589-598}
    }
    
  • K. Lu, N. Barnes, S. Anwar and L. Zheng
    “Depth Completion Auto-Encoder,”
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2022.
    [BibTeX] [WACV] [Video]

    @InProceedings{Lu2022DA,
        author    = {Lu, Kaiyue and Barnes, Nick and Anwar, Saeed and Zheng, Liang},
        title     = {Depth Completion Auto-Encoder},
        booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops},
        month     = {January},
        year      = {2022},
        pages     = {63-73}
    }
    
  • M. Tahir*, S. Anwar*, A. Mian, and A. W. Muzaffar
    “Deep localization of protein structures in fluorescence microscopy images,”
    Neural Computing and Applications (NCAA) , 2022.
    [BibTeX] [NCAA] [arXiv] [Project Page]

    @article{Anwar2021PLCNN,
      title={Deep localization of protein structures in fluorescence microscopy images},
      author={Tahir, Muhammad and Anwar, Saeed and Mian, Ajmal and Muzaffar, Abdul W.},
      journal={Neural Computing and Applications},
      year={2022},
      publisher={Springer}
    }
    
  • M. Usama, H. Anwar, A. Anwar, and S. Anwar
    “Vehicle and License Plate Recognition with Novel Dataset for Toll Collection,”
    ArXiv e-prints , 2022.
    [BibTeX] [arXiv] [Project Page]

    @InProceedings{Usama2022VTLPR,
          title={Vehicle and License Plate Recognition with Novel Dataset for Toll Collection}, 
          author={Muhammad Usama and Hafeez Anwar and Abbas Anwar and Saeed Anwar},
          year={2022},
          eprint={2202.05631},
          archivePrefix={arXiv},
          primaryClass={eess.IV}
    }
    
  • 2021

  • S. Qiu, S. Anwar, and N. Barnes
    “PnP-3D: A Plug-and-Play for 3D Point Clouds,”
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
    [BibTeX] [TPAMI] [arXiv] [Project Page]

    @article{Qiu2021PnP3D,
          title={PnP-3D: A Plug-and-Play for 3D Point Clouds}, 
          author={Shi Qiu and Saeed Anwar and Nick Barnes},
          journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
          year={2021}
    }
    
  • S. Anwar, N. Barnes, and L. Petersson
    “Attention Based Real Image Restoration,”
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.
    [BibTeX] [PDF] [Supp] [arXiv] [Project Page]

    @article{Anwar2021R2NET,
        title={Attention Based Real Image Restoration},
        author={Saeed Anwar and Nick Barnes and Lars Petersson},
        journal={Transactions on Neural Networks and Learning Systems},
        year={2021},
        publisher={IEEE}
    }
    
  • S. Qiu, Y. Wu, S. Anwar, and C. Li
    “Investigating Attention Mechanism in 3D Point Cloud Object Detection,”
    IEEE International Conference on 3D Vision (3DV), 2021.
    [BibTeX] [3DV PDF] [arXiv] [Poster] [Project Page]

    @inproceedings{Qiu2021Att3Ddetection,
          title={Investigating Attention Mechanism in 3D Point Cloud Object Detection}, 
          author={Shi Qiu and Yunfan Wu and Saeed Anwar and Chongyi Li},
          year={2021},
          booktitle={International Conference on 3D Vision (3DV)},
          organization={IEEE}
    }
    
  • H. Ullah, K. Muhammad, M. Irfan, S. Anwar, M. Sajjad, S. Imran, and V. H. C. D. Albuquerque
    “Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing,”
    IEEE Transactions on Image Processing (TIP), 2021.
    [BibTeX] [TIP PDF] [Project Page]

    @article{Hayat2021DehazeNet,
       author = {Ullah, Hayat and Muhammad, Khan and Irfan, Muhammad and Anwar, Saeed and Sajjad, Muhammad and Imran, Shariq and  De Albuquerque, Victor Hugo C.},
       title = {Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing},
       journal ={Transactions on Image Processing},
       year={2021},
       organization={IEEE}
    }
    
  • M. Tahir, and S. Anwar
    “Transformers in Pedestrian Image Retrieval and Person Re-Identification in a Multi-Camera Surveillance System,”
    Applied Sciences (AS), 2021.
    [BibTeX] [Official PDF] [Project Page]

    @article{Tahir2021ReID,
    AUTHOR = {Tahir, Muhammad and Anwar, Saeed},
    TITLE = {Transformers in Pedestrian Image Retrieval and Person Re-Identification in a Multi-Camera Surveillance System},
    JOURNAL = {Applied Sciences},
    VOLUME = {11},
    YEAR = {2021},
    NUMBER = {19},
    ARTICLE-NUMBER = {9197},
    ISSN = {2076-3417},
    }
    
  • S. Qiu, S. Anwar and N. Barnes
    “Geometric Back-Projection Network for Point Cloud Classification,”
    IEEE Transaction on MultiMedia (TMM), 2021. [ESI Highly Cited]
    [BibTeX] [Official PDF] [arXiv] [PPT] [Project Page]

    @article{qiu2021geometric,
        title={Geometric Back-Projection Network for Point Cloud Classification},
        author={Shi Qiu and Saeed Anwar and Nick Barnes},
        journal = {IEEE Transaction on MultiMedia},
        year={2021}
    }
    
  • J. Zhang, D.P. Fan, Y. Dai, S. Anwar, F.S. Saleh, S. Aliakbarian and N. Barnes
    “Uncertainty Inspired RGB-D Saliency Detection,”
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
    [BibTeX] [TPAMI PDF] [Project Page]

    @article{Jing2021uncertainty,
      title={Uncertainty Inspired RGB-D Saliency Detection},
      author={Zhang, Jing and Fan, Deng-Ping and Dai, Yuchao and Anwar, Saeed and Saleh, Fatemeh and Aliakbarian, Sadegh and Barnes, Nick},
      journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
      year={2021}
    }
    
  • C. Li, S. Anwar, J. Hou, R. Cong, C. Guo and W. Ren
    “Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding,”
    IEEE Transactions on Image Processing (TIP), 2021.
    [BibTeX] [TIP PDF] [arXiv] [Code] [Project Page]

    @article{Chongyi2021MultiColor,
    title  = {Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding},
    author = {Li, Chongyi and  Anwar, Saeed and Hou, Junhui and Cong, Runmin and Guo, Chunle and Ren, Wenqi},
    journal	= {IEEE Transactions on Image Processing (TIP)},
    year	= {2021},
    }
    
  • S. Qiu, S. Anwar and N. Barnes
    “Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion,”
    IEEE Computer Vision and Pattern Recognition (CVPR), 2021.
    [BibTeX] [CVPR Version] [Supp] [arXiv+Supp] [Poster] [PPT] [Project Page]

    @InProceedings{QIU2021BAAF,
        author    = {Qiu, Shi and Anwar, Saeed and Barnes, Nick},
        title     = {Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion},
        booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
        year      = {2021},
    }
    
  • Y. Liu, Z. Qin, S. Anwar, P. Ji, D. Kim, S. Cadwell and T. Gedeon
    “Invertible Denoising Network: A Light Solution for Real Noise Removal,”
    IEEE Computer Vision and Pattern Recognition (CVPR), 2021.
    [BibTeX] [CVPR Version] [arXiv] [Project Page]

    @article{Yang2020InvDN,
      author = {Liu, Yang and Qin, Zhenyue and Anwar, Saeed and Ji, Pan and Kim, Dongwoo and Cadwell, Sabrina and Gedeon, Tom },
      title = {Invertible Denoising Network: A Light Solution for Real Noise Removal},
      booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
      year = {2021}
    }
    
  • J. Han, M. Shoeiby, T. Malthus, E. Botha, J. Anstee, S. Anwar, R. Wei, L. Petersson, M. A. Armin
    “ Single Underwater Image Restoration by contrastive learning,”
    International Geoscience and Remote Sensing Symposium (IGARSS), Oral, 2021.
    [BibTeX] [Official PDF] [arXiv] [Project Page]

    @article{Han2020CWR,
      author = {Han, Junlin and Shoeiby, Mehrdad and Malthus, Tim and Botha, Elizabeth and Anstee, Janet and  Anwar, Saeed  and Wei, Ran and Petersson, Lars  and Armin, Mohammad Ali 
    },
      title = {Single Underwater Image Restoration by contrastive learning},
      booktitle = {International Geoscience and Remote Sensing Symposium (IGARSS)},
      year = {2021}
    }
    
  • M. Shoeiby, S. Aliakbarian, S. Anwar and L. Petersson
    “Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network,”
    Machine Vision and Applications (MVA), 2021.
    [BibTeX] [Official PDF] [arXiv]

    @article{Shoeiby2021multiSR,
      title={Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network},
      author={Shoeiby, Mehrdad and Aliakbarian, Sadegh and Anwar, Saeed and Petersson, Lars},
      journal={ Machine Vision and Applications},
      year={2021}
    }
    
  • T. Hussain, S. Anwar, A. Ullah, K. Muhammad and S. W. Baik
    “Densely Deformable Efficient Salient Object Detection Network,”
    ArXiv e-prints , 2021.
    [BibTeX] [arXiv] [Project Page]

    @InProceedings{Tan2021DDNET,
          title={Densely Deformable Efficient Salient Object Detection Network}, 
          author={Tanveer Hussain and Saeed Anwar and Amin Ullah and Khan Muhammad and Sung Wook Baik},
          year={2021},
          eprint={2102.06407},
          archivePrefix={arXiv},
          primaryClass={cs.CV}
    }
    
  • H. Anwar*, S. Anwar*, S. Zambanini and F. Porikli
    “Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention,”
    Pattern Recognition (PR), 2021.
    [BibTeX] [PR PDF] [arXiv] [Project Page]

    @article{Anwar2021CoinNet,
    title = {Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention},
    journal = {Pattern Recognition},
    pages = {107871},
    year = {2021},
    issn = {0031-3203},
    doi = {https://doi.org/10.1016/j.patcog.2021.107871},
    url = {https://www.sciencedirect.com/science/article/pii/S0031320321000583},
    author = {Hafeez Anwar and Saeed Anwar and Sebastian Zambanini and Fatih Porikli},
    }
    
  • S. Anwar, Z. Hayder and F. Porikli
    “Deblur and Deep Depth from a Defocus Image,”
    Machine Vision and Applications (MVA), 2021.
    [BibTeX] [Official PDF] [arXiv] [Code]

    @article{Anwar2021DefocusMVA,
      title={Deblur and deep depth from single defocus image},
      author={Anwar, Saeed and Hayder, Zeeshan and Porikli, Fatih},
      journal={Machine Vision and Applications},
      volume={32},
      number={1},
      pages={1--13},
      year={2021},
      publisher={Springer}
    }
    
  • S. Qiu, S. Anwar and N. Barnes
    “Dense-Resolution Network for Point Cloud Classification and Segmentation,”
    IEEE Winter Conference on Applications of Computer Vision (WACV), 2021.
    [BibTeX] [WACV Version] [WACV Supp] [arXiv] [Video] [PPT] [Project Page]

    @InProceedings{QIU2021DRNET,
        author    = {Qiu, Shi and Anwar, Saeed and Barnes, Nick},
        title     = {Dense-Resolution Network for Point Cloud Classification and Segmentation},
        booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
        month     = {January},
        year      = {2021},
        pages     = {3813-3822}
    }
    
  • 2020

  • S. Anwar, and N. Barnes
    “Densely Residual Laplacian Super-Resolution,”
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
    [BibTeX] [TPAMI PDF] [TPAMI Supp] [arXiv] [Project Page]

    @article{Anwar2020DRLN,
      author = {Anwar, Saeed and Barnes, Nick},
      title = {Densely Residual Laplacian Super-Resolution},
      journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
      year = {2020}
    }
    
  • S. Anwar, and C. Li
    “ Diving Deeper into Underwater image enhancement: A survey,”
    Signal Processing: Image Communication (SPIC), 2020.
    [BibTeX] [Official PDF] [arXiv] [Project Page]

    @article{Anwar2020UWESurvey,
      title = "Diving deeper into underwater image enhancement: A survey",
      journal = "Signal Processing: Image Communication",
      volume = "89",
      pages = "115978",
      year = "2020",
      issn = "0923-5965",
      doi = "https://doi.org/10.1016/j.image.2020.115978",
      url = "http://www.sciencedirect.com/science/article/pii/S0923596520301478",
      author = "Saeed Anwar and Chongyi Li",
    }
    
  • Y. Liu, Z. Qin, S. Anwar, S. Caldwell, and T. Gedeon
    “Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable,”
    International Conference on Neural Information Processing (ICONIP), Oral, 2020.
    [BibTeX] [Official PDF] [Project Page]

    @article{Yang2020Glow,
      author = {Liu, Yang and Qin, Zhenyue and Anwar, Saeed  and Caldwell, Sabrina  and Gedeon, Tom },
      title = {Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable},
      booktitle={International Conference on Neural Information Processing},  
      year = {2020}
    }
    
  • J. Xu, S. Anwar, N. Barnes, F. Grimpen, O. Salvado, S. Anderson and M. A. Armin
    “OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos,”
    Medical Image Computing and Computer Assisted Interventions (MICCAI), Oral, 2020.
    [BibTeX] [Official PDF]

    @InProceedings{Xu2020OfGAN,
     author="Xu, Jiabo and Anwar, Saeed and Barnes, Nick and Grimpen, Florian and Salvado, Olivier and Anderson, Stuart and Armin, Mohammad Ali",
     title="OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos",
     booktitle="Medical Image Computing and Computer Assisted Intervention (MICCAI)",
     year="2020",
     publisher="Springer International Publishing",
     address="Cham",
     pages="732--741",
     isbn="978-3-030-59716-0"
    }
    
  • S. Anwar, S. Khan and N. Barnes
    “A Deep Journey into Super-resolution: A survey,”
    ACM Computing Surveys (CSUR), 2020.
    [BibTeX] [CSUR PDF] [arXiv] [Project Page]

    @article{Anwar2020Survey,
      author = {Anwar, Saeed and Khan, Salman and Barnes, Nick},
        title = {A Deep Journey into Super-resolution: A survey},
        journal={ACM Computing Surveys (CSUR)},
        volume={},
        number={},
        pages={},
        year={2020},
        publisher={ACM New York, NY, USA}
    }
    
  • J. Zhang, D.P. Fan, Y. Dai, S. Anwar, F.S. Saleh, T. Zhang and N. Barnes
    “UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders,”
    IEEE Computer Vision and Pattern Recognition (CVPR), Oral, 2020. [Best Paper nominated in CVPR]
    [BibTeX] [CVPR Version] [Project Page]

    @InProceedings{Jing2020UCNET,
    author = {Zhang, Jing and Fan, Deng-Ping and Dai, Yuchao and Anwar, Saeed and Saleh, Fatemeh Sadat and Zhang, Tong and Barnes, Nick},
    title = {UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders},
    booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {2020}
    }
    
  • K. Lu, N. Barnes, S. Anwar and L. Zheng
    “From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction,”
    IEEE Computer Vision and Pattern Recognition (CVPR), 2020.
    [BibTeX] [CVPR Version] [Video]

    @InProceedings{Kaiyue2020Depth,
    author = {Lu, Kaiyue and Barnes, Nick and Anwar, Saeed and Zheng, Liang},
    title = {From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction},
    booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {2020}
    }
    
  • S. Anwar, C. P. Huynh and F. Porikli
    “Identity Enhanced Image Denoising,”
    IEEE Computer Vision and Pattern Recognition Workshops (CVPRW), 2020.
    [BibTeX] [CVPR Version] [arXiv] [CVPR Supp] [Code]

    @InProceedings{Anwar2020IERD,
        author = {Anwar, Saeed and Phuoc Huynh, Cong and Porikli, Fatih},
        title = {Identity Enhanced Residual Image Denoising},
        booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
        month = {June},
        year = {2020}
    }
    
  • Y. Liu, S. Anwar and L. Zheng
    “GradNet Image Denoising,”
    IEEE Computer Vision and Pattern Recognition Workshops (CVPRW), 2020.
    [BibTeX] [CVPR Version] [CVPR Supp] [Code]

    @InProceedings{Yang2020GradNet,
        author = {Liu, Yang and Anwar, Saeed and Zheng, Liang and Tian, Qi},
        title = {GradNet Image Denoising},
        booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
        month = {June},
        year = {2020}
    }
    
  • M. Shoeiby, M. A. Armin, S. Aliakbarian, S. Anwar and L. petersson
    “Mosaic Super-resolution via Sequential Feature Pyramid Networks,”
    IEEE Computer Vision and Pattern Recognition Workshops (CVPRW), Oral, 2020.
    [BibTeX] [CVPR Version] [arXiv]

    @InProceedings{Mehrdad2019SR,
         author = {Shoeiby, Mehrdad and Armin, Ali and Aliakbarian, Sadegh and Anwar, Saeed and Petersson, Lars},
         title = {Mosaic Super-Resolution via Sequential Feature Pyramid Networks},
         booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
         month = {June},
         year = {2020}
    }
    
  • 2019 and Earlier

  • S. Anwar and N. Barnes
    “Real Image Denoising with Feature Attention,”
    IEEE International Conference on Computer Vision (ICCV), Oral, 2019
    [BibTeX] [ICCV Version] [ICCV Supp] [Project Page]

    @InProceedings{Anwar2019RIDNET,
    author = {Anwar, Saeed and Barnes, Nick},
    title = {Real Image Denoising With Feature Attention},
    booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
    month = {October},
    year = {2019}
    }
    
  • S. Anwar, C. Li and F. Porikli
    “Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement,”
    Pattern Recognition (PR), 2019. [ESI Highly Cited][Best Paper Honorable Mention]
    [BibTeX] [PR Version] [arXiv] [Project Page]

    @article{Anwar2019UWE,
      title={Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement},
      author={Li, Chongyi and Anwar, Saeed},
      journal={Pattern Recognition},
      pages={107038},
      year={2019},
      publisher={Elsevier}
    }
    
  • S. Anwar, C. P. Huynh and F. Porikli
    “Image Deblurring with a Class-Specific Prior,”
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
    [BibTeX] [TPAMI PDF] [TPAMI Supp] [Code]

    @article{Anwar2018PAMI,
      author = {Anwar, Saeed and Huynh, Cong P. and Porikli, Fatih },
      title = {Image Deblurring with a Class-Specific Prior},
      journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
      year = {2018}
    }
    
  • S. Anwar, F. Porikli and C. P. Huynh
    “Category-Specific Object Image Denoising,”
    IEEE Transactions in Image Processing (TIP), 2017.
    [BibTeX] [TIP PDF] [Code]

    @article{Anwar2017category,
    	title	={Category-specific object image denoising},
    	author	={Anwar, Saeed and Porikli, Fatih and Huynh, Cong Phuoc},
    	journal	={IEEE Transactions on Image Processing},
    	volume	={26},
    	number	={11},
    	pages	={5506--5518},
    	year	={2017},
    	publisher={IEEE}
    }
    
  • S. Anwar, C. P. Huynh and F. Porikli
    “Combined Internal and External Category-Specific Image Denoising,”
    British Machine Vision Conference (BMVC), 2017.
    [BibTeX] [BMVC PDF] [Code]

    @article{Anwar2017internalnoise,
      author = {Anwar, Saeed and Huynh, Cong P. and Porikli, Fatih },
      title = {Combined Internal and External Category-Specific Image Denoising},
      journal = {British Machine Vision Conference},
      year = {2017}
    }
    
  • S. Anwar, Z Hayder and F. Porikli
    “Depth Estimation and Blur Removal from a Single Out-of-focus Image,”
    British Machine Vision Conference (BMVC), Oral, 2017.
    [BibTeX] [BMVC PDF] [Code]

    @article{Anwar2017depth,
      author = {Anwar, Saeed and Hayder, Zeeshan and Porikli, Fatih },
      title = {Depth Estimation and Blur Removal from a Single Out-of-focus Image},
      journal = {British Machine Vision Conference},
      year = {2017}
    }
    
  • S. Anwar, C. P. Huynh and F. Porikli
    “Class-specific image deblurring,”
    IEEE International Conference on Computer Vision (ICCV), 2015.
    [BibTeX] [ICCV Version] [Code]

    @inproceedings{anwar2015class,
      title={Class-specific image deblurring},
      author={Anwar, Saeed and Phuoc Huynh, Cong and Porikli, Fatih},
      booktitle={Proceedings of the IEEE International Conference on Computer Vision},
      pages={495--503},
      year={2015}
    }
    
  • M. Farooq, S. Anwar and S. Khan
    “Fast mean shift and particle filtering based visual human tracking,”
    IEEE Multitopic Conference(INMIC), 2009.
    [BibTeX] [PDF]

    @inproceedings{farooq2009fast,
      title={Fast mean shift and particle filtering based visual human tracking},
      author={Farooq, Muhammad and Anwar, Saeed and Khan, Sharif},
      booktitle={Multitopic Conference, INMIC 2009. IEEE 13th International},
      pages={1--5},
      year={2009}
    }
    
  • PhD Thesis

  • S. Anwar
    “Data-Driven Image Restoration,”
    The Australian National University, Australia (ANU)
    [BibTeX] [PDF]

    @phdthesis{anwarthesis,
      title={Data-Driven Image Restoration},
      author={Anwar, Saeed},
      school={The Australian National University (Australia) },
      year={2018}
    }