Publications

Journals/Letters [J]


J7 D. Temel, M-H. Chen, T. Alshawi and G. AlRegib, “Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions, ” February 2019, dataset, GitHub, arXiv.


J6 D. Temel, M. J. Mathew, G. AlRegib, and Y. M. Khalifa, “Relative Afferent Pupillary Defect Screening through Transfer Learning,” IEEE journal of Biomedical and Health Informatics, 2019, GitHub, arXiv.


J5 D. Temel, M-H. Chen, and G. AlRegib, “Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics ,” IEEE Transactions on Intelligent Transportation Systems ,2019, dataset, GitHub, arXiv.


J4 D. Temel and G. AlRegib, “Perceptual Image Quality Assessment through Spectral Analysis of Error Representations ,” Signal Processing: Image Communication, Volume 70, 2019, Pages 37-46, GitHub, arXiv.


J3 D. Temel and G. AlRegib, “Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions],” in IEEE Signal Processing Magazine, vol. 35, no. 2, pp. 154-161, March 2018, dataset, GitHub, arXiv.


J2 D. Temel and G. AlRegib, “CSV: Image quality assessment based on color, structure, and visual system, “Signal Processing: Image Communication, vol. 48, pp. 92-103, October 2016, GitHub, arXiv.


J1 D. Temel, M. Prabhushankar and G. AlRegib, “UNIQUE: Unsupervised Image Quality Estimation”, the IEEE Signal Processing Letters , vol.23, no.10, pp.1414-1418, GitHub, arXiv.


Conference Publications [C]


C25 D. Temel*, J. Lee* and G. AlRegib, “Object Recognition under Multifarious Conditions: A Reliability Analysis and a Feature Similarity-Based Performance Estimation ,” accepted to the IEEE International Conference on Image Processing, Taipei, Taiwan, September 2019, dataset, GitHub, arXiv.


C24 G. Kwon, M. Prabhushankar, D. Temel, and G. AlRegib, “Distorted Representation Space Characterization through Backpropagated Gradients ,” accepted to the IEEE International Conference on Image Processing, Taipei, Taiwan, September 2019. arXiv.


C23 C. Lehman, D. Temel, and G. AlRegib, “Implicit Background Estimation for Semantic Segmentation,” accepted to the IEEE International Conference on Image Processing, Taipei, Taiwan, September 2019, GitHub, arXiv.


C22 D. Temel, M. J. Mathew, G. AlRegib, and Y. M. Khalifa, “Automated Pupillary Light Reflex Assessment on a Portable Platform,” accepted to the IEEE International Symposium on Medical Robotics, Atlanta, GA, April 2019, GitHub, arXiv.


C21 D.Temel*, J. Lee*, and G. AlRegib, “CURE-OR: Challenging Unreal and Real Environments for Object Recognition,” IEEE International Conference of Machine Learning and Applications, Orlando, Florida, USA, December, 2018, dataset, GitHub, arXiv.


C20 M. Prabhushankar, G. Kwon, D. Temel, and G. AlRegib, “Semantically Interpretable and Controllable Filter Sets,” IEEE International Conference on Image Processing (ICIP), Athens, Greece, Oct. 7-10, 2018, GitHub, arXiv.


C19 D.Temel, G. Kwon*, M. Prabhushankar, and G. AlRegib, “CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition,” 31st Conference on Neural Information Processing Systems (NIPS), Machine Learning for Intelligent Transportation Systems Workshop, Long Beach, CA, USA, 2017, dataset, GitHub, arXiv.


C18 M.Prabhushankar, D.Temel, and G.AlRegib, “Generating adaptive and robust filter sets using an unsupervised learning framework,” IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 17-20, 2017, GitHub,arXiv.


C17 M. Prabhushankar, D. Temel, and G. AlRegib, “MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation”, the Electronic Imaging, Image Quality and System Performance XIV, Burlingame, California, USA, Jan. 29 – Feb. 2, 2017, slides, GitHub, arXiv.


C16 D. Temel and G. AlRegib, “Boosting in Image Quality Assessment”, the IEEE Workshop on Multimedia Signal Processing, Montreal, Canada, September 21-23, 2016, slides, GitHub, arXiv.


C15 D. Temel and G. AlRegib, “ReSIFT: Reliability-weighted SIFT-based Image Quality Assessment”,  the IEEE International Conference on Image Processing, Phoenix, Arizona, USA, Sep. 25-28, 2016, poster, GitHub, arXiv.


C14 D. Temel and G. AlRegib, “BLeSS: Bio-inspired Low-level Spatiochromatic Similarity Assisted Image Quality Assessment “, the IEEE International Conference on Multimedia and Expo , Seattle, USA, Jul. 11-15, 2016, poster, GitHub, arXiv.


C13 H. Pan, D.Temel and G. AlRegib, “HeartBEAT: Heart Beat Estimation through Adaptive Tracking”, IEEE International Conference on Biomedical and Health Informatics, Las Vegas, Feb 24th-27th, 2016, GitHub, arXiv.


C12 J. Sogaard, L. Krasula, M. Shahid, D. Temel, K. Brunnstorm and M. Razaak, “Applicability of Existing Objective Metrics of Perceptually Quality for Adaptive Video Streaming”, Image Quality and System Performance – EI 2016, San Francisco, Feb. 14-18, 2016, [preprint].


C11 D. Temel and G. AlRegib, ” A Comparative Study of Quality and Content-based Spatial Pooling Strategies in Image Quality Assessment,” the 3rdIEEE Global Conference on Signal and Information Processing , Orlando, Florida, Dec. 14-16, 2015, slides, GitHub, arXiv.


C10 D. Temel and G. AlRegib, ” PerSIM: Multi-Resolution Image Quality Assessment in the Perceptually Uniform Color Domain,” in the Proceedings of the IEEE International Conference on Image Processing ,Quebec, Canada, Sept. 27-30, 2015, poster, GitHub, arXiv.


C9 D. Temel and G. AlRegib, “Image Quality Assessment and Color Difference”, in the Proceedings of the 2nd IEEE Global Conference on Signal and Information Processing, Atlanta, USA, Dec. 3-5, 2014, poster, GitHub, arXiv.


C8 Z. Wang, D. Temel and G. AlRegib, “Fault Detection Using Color Blending and Color Transformations”, in the Proceedings of the 2nd IEEE Global Conference on Signal and Information Processing, Atlanta, USA, Dec. 3-5, 2014, poster, GitHub,preprint.


C7 D. Temel and G. AlRegib, “A Comparative Study of Computational Aesthetics,” in the Proceedings of the IEEE International Conference on Image Processing ,Paris, France, Oct. 27-30, 2014, poster, code, arXiv.


C6 D. Temel and G. AlRegib, “Coding of 3D Videos based on Visual Discomfort,” in the Proceedings of the the 47th Asilomar Conference on Signals, Systems and Computers ,Pacific Grove, CA, Nov. 3-6, 2013, slides, arXiv.


C5 D. Temel, Q. Lin, G. Zhang and G. AlRegib, ” Modified Weak Fusion Model for Depthless Streaming of 3D Videos,” in the Proceedings of the IEEE International Workshop on Hot Topics in 3D, San Jose, CA, July. 19, 2013, slides, preprint.


C4 D. Temel and G. AlRegib, “Effectiveness of 3VQM in Capturing Depth Inconsistencies,” in the Proceedings of the 11th IEEE IVMSP Workshop : 3D Image/Video Technologies and Applications , Seoul, Korea, Jun. 10-12, 2013, slides, arXiv.


C3 D. Temel, M. Aabed, M. Solh and G. AlRegib, “Efficient Streaming of Stereoscopic Depth-Based 3D Videos,” in the Proceedings of the Visual Information Processing and Communication IV, SPIE Electronic Imaging, San Francisco, US, Feb. 3-7, 2013, slides, preprint.


C2 M. Aabed, D. Temel, and G. AlRegib, “Depth Map Estimation in DIBR Stereoscopic 3D Videos Using a Combination of Monocular Cues,” in the Proceedings of the 46th Asilomar Conference on Signals and Systems, CA, Nov. 4-7, 2012, preprint.


C1 D. Temel and G. AlRegib, “Depthless Streaming of Depth-Based 3D Videos,” in the Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP 2012), Banff, Canada, Sept. 17-19, 2012, poster, preprint.