Saeed Anwar bio photo

Saeed Anwar

I'm currently with UWA. Also hold honorary positions with ANU and CSIRO.

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Publications

2025

  • M. Ibrahim, N. Akhtar, H. Wang, S. Anwar, and A. Mian
    “Multistream Network for LiDAR and Camera-based 3D Object Detection in Outdoor Scenes,”
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oral, 2025.
    [BibTeX] [arXiv] [Project Page]

    @inproceedings{Ibrahim2025MuStD,
      title={Multistream Network for LiDAR and Camera-based 3D Object Detection in Outdoor Scenes},
      author={Ibrahim, Muhammad and Akhtar, Naveed and Wang, Haitian and Anwar, Saeed and Mian, Ajmal},
      booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      year={2025},
      organization={IEEE}
    }
    
  • N. Nadeem, S. Anwar, M. H. Asad, and A. Bais
    “HierVL: Semi-Supervised Segmentation leveraging Hierarchical Vision-Language Synergy with Dynamic Text-Spatial Query Alignment,”
    arXiv e-prints, 2025.
    [BibTeX] [arXiv] [Project Page (Coming Soon)]

    @article{nadeem2025hiervl,
      title={HierVL: Semi-Supervised Segmentation leveraging Hierarchical Vision-Language Synergy with Dynamic Text-Spatial Query Alignment},
      author={Nadeem, Numair and Anwar, Saeed and Asad, Muhammad Hamza and Bais, Abdul},
      journal={arXiv preprint arXiv:2506.13925},
      year={2025}
    }
    
  • Y. He, H. Yu, M. Feng, T. Chen, Z. Li, A. Ulhaq, S. Anwar and A. Mian
    “PointDiffuse: A Dual-Conditional Diffusion Model for Enhanced Point Cloud Semantic Segmentation,”
    arXiv e-prints, 2025.
    [BibTeX] [arXiv] [Project Page (Coming Soon)]

    @article{Yong2025PointDiffuse,
          title={PointDiffuse: A Dual-Conditional Diffusion Model for Enhanced Point Cloud Semantic Segmentation}, 
          author={Yong He and Hongshan Yu and Mingtao Feng and Tongjia Chen and Zechuan Li and Anwaar Ulhaq and Saeed Anwar and Ajmal Saeed Mian},
          year={2025},
          eprint={2503.06094},
          archivePrefix={arXiv},
          primaryClass={cs.CV},
          url={https://arxiv.org/abs/2503.06094}
    }
    
  • 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,”
    ACM Transactions on Intelligent Systems and Technology (TIST), 2025.
    [BibTeX] [arXiv] [Project Page]

    @article{Humza2025LLMs,
      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 = {ACM Transactions on Intelligent Systems and Technology},
      year={2025}
    }
    
  • N. Nadeem, M. H. Asad, S. Anwar and A. Bais
    “MaskAdapt: Unsupervised Geometry-Aware Domain Adaptation Using Multimodal Contextual Learning and RGB-Depth Masking,”
    IEEE Computer Vision and Pattern Recognition Workshops (CVPRW), Oral, 2025.
    [BibTeX] [CVPR Version] [arXiv]

    @InProceedings{Numair2025MaskAdapt,
        author    = {Nadeem, Numair and Asad, Muhammad Hamza and Anwar, Saeed and Bais, Abdul},
        title     = {MaskAdapt: Unsupervised Geometry-Aware Domain Adaptation Using Multimodal Contextual Learning and RGB-Depth Masking},
        booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
        month     = {June},
        year      = {2025},
    
  • A. Zia, R. Sharma, A. Khamis, X. Li, M. Husnain, N. Shafi, S. Anwar, S. Schmoelzl, E. Stone, L. Petersson and V. Rolland
    “A Review on Coarse to Fine-Grained Animal Action Recognition,”
    arXiv e-prints, 2025.
    [BibTeX] [arXiv]

    @article{ali2025FGAnimal,
          title={A Review on Coarse to Fine-Grained Animal Action Recognition}, 
          author={Ali Zia and Renuka Sharma and Abdelwahed Khamis and Xuesong Li and Muhammad Husnain and Numan Shafi and Saeed Anwar and Sabine Schmoelzl and Eric Stone and Lars Petersson and Vivien Rolland},
          year={2025},
          eprint={2506.01214},
          archivePrefix={arXiv},
          primaryClass={cs.CV},
          url={https://arxiv.org/abs/2506.01214}
    }
    
  • M. Xiong, T. Gui, Z. Sun, S. Anwar, A. Alotaibi and K Muhammad
    “SEDNet: Synergistic Learning Network with Embedded Encoder and Dense Atrous Convolution for Vehicle Re-identification,”
    Alexandria Engineering Journal (AEJ), 2025.
    [BibTeX] [Official PDF]

    @article{Xiong2025SEDNet,
    title = {SEDNet: Synergistic Learning Network with Embedded Encoder and Dense Atrous Convolution for Vehicle Re-identification},
    author = {Mingfu Xiong and Tanghao Gui and Zhihong Sun and Saeed Anwar and Aziz Alotaibi and Khan Muhammad},
    journal = {Alexandria Engineering Journal},
    volume = {128},
    pages = {297-305},
    issn = {1110-0168},
    year = {2025}
    }
    
  • M. Usama, H. Anwar, A. Anwar, and S. Anwar
    “Vehicle and License Plate Recognition with Novel Dataset for Toll Collection,”
    Pattern Analysis and Applications (PAA), 2025.
    [BibTeX] [arXiv] [Project Page]

    @article{Usama2025VTLPR,
         title={Vehicle and License Plate Recognition with Novel Dataset for Toll Collection}, 
         author={Muhammad Usama and Hafeez Anwar and Abbas Anwar and Saeed Anwar},
         journal={Pattern Analysis and Applications},
         year={2024},
         publisher={Springer}
    }
    
  • A. A. Hasanaath, H. Luqman, R. Katib and S. Anwar
    “FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images,”
    Image and Vision Computing (IVS), 2025.
    [BibTeX] [Official PDF] [arXiv] [Project Page]

    @article{hasanaath2025fsbi,
      title={FSBI: Deepfake detection with frequency enhanced self-blended images},
      author={Hasanaath, Ahmed Abul and Luqman, Hamzah and Katib, Raed and Anwar, Saeed},
      journal={Image and Vision Computing},
      pages={105418},
      year={2025},
      publisher={Elsevier}
    }
    
  • A. Alkalbani, M. Saqib, A. S. Alrawahi, A. Anwar, C. Adak, S. Anwar
    “RDD4D: 4D Attention-Guided Road Damage Detection And Classification,”
    arXiv e-prints, 2025.
    [BibTeX] [arXiv] [Project Page]

    @article{Asma2025RDD4D,
          title={RDD4D: 4D Attention-Guided Road Damage Detection And Classification}, 
          author={Asma Alkalbani and Muhammad Saqib and Ahmed Salim Alrawahi and Abbas Anwar and Chandarnath Adak and Saeed Anwar},
          year={2025},
          eprint={2501.02822},
          archivePrefix={arXiv},
          primaryClass={cs.CV},
          url={https://arxiv.org/abs/2501.02822}, 
    }
    
  • S. Anwar, M. Tahir, C. Li, A. Mian, F. S. Khan, and A. W. Muzaffar
    “Image Colorization: A Survey and Dataset,”
    Information Fusion (IF), 2025.
    [BibTeX] [Official PDF] [arXiv] [Project Page]

    @article{Anwar2025ColorSurvey,
      title={Image Colorization: A Survey and Dataset},
      author={Saeed Anwar and Muhammad Tahir and Chongyi Li and Ajmal Mian and Fahad Shahbaz Khan and Abdul Wahab Muzaffar},
      journal={Information Fusion},
      year={2025},
      volume = {114},
      pages = {102720},
      year = {2025},
      issn = {1566-2535},
      publisher={Elsevier}
    }
    
  • 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), 2025.
    [BibTeX] [Official PDF] [arXiv] [arXiv]

    @article{he2025DL3D,
      title = {Deep learning based 3D segmentation in computer vision: 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},
      volume = {115},
      pages = {102722},
      year = {2025},
      issn = {1566-2535},
      publisher={Elsevier}
    }
    
  • 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}
    }
    
  • M. Usman, A. Almulhim, M. Alaseri, M. Alzahran, H. Luqman, and S. Anwar
    “Sketch–to–3D: Transforming Hand-Sketched Floorplans into 3D Layouts,”
    Digital Image Computing: Techniques and Applications (DICTA), Oral, 2024.
    [BibTeX] [DICTA Version] [Project Page]

    @InProceedings{Usman2024Sketchto3D,
      author={Usman, Muhammad and Almulhim, Abdullah and Alaseri, Mohammad and Alzahran, Mona and Luqman, Hamzah and Anwar, Saeed},
      booktitle={International Conference on Digital Image Computing: Techniques and Applications (DICTA)}, 
      title={Sketch–to–3D: Transforming Hand-Sketched Floorplans into 3D Layouts}, 
      pages={359-366},
      year={2024}
    }
    
  • M. Alzahrani, M. Usman, R. Alharbi, S. Anwar, A. Mian, and T. Helmy
    “3D Object Classification with Selective Multi-View Fusion and Shape Rendering,”
    Digital Image Computing: Techniques and Applications (DICTA), Oral, 2024.
    [BibTeX] [DICTA Version] [Project Page]

    @InProceedings{Alzahrani20243DObject,
     author={Alzahrani, Mona and Usman, Muhammad and Alharbi, Randah and Anwar, Saeed and Mian, Ajmal and Helmy, Tarek},
      booktitle={International Conference on Digital Image Computing: Techniques and Applications (DICTA)}, 
      title={3D Object Classification with Selective Multi-View Fusion and Shape Rendering}, 
      pages={351-358},
      year={2024}
    }
    
  • 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] [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}
    }
    
  • 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}
    }
    
  • 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}
    }
    
  • 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},
    }
    
  • 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]

    @inproceedings{Ibrahim2023UnLoc,
      title={Unloc: a universal localization method for autonomous vehicles using lidar, radar and/or camera input},
      author={Ibrahim, Muhammad and Akhtar, Naveed and Anwar, Saeed and Mian, Ajmal},
      booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      pages={5187--5194},
      year={2023},
      organization={IEEE}
    }
    
  • 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. [Best Paper Award]
    [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}
    }
    
  • 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}
    }