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Deep Image Retrieval: A Survey


Feb 03, 2021
Wei Chen, Yu Liu, Weiping Wang, Erwin Bakker, Theodoros Georgiou, Paul Fieguth, Li Liu, Michael S. Lew

* 20 pages, 11 figures 

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A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges


Nov 17, 2020
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi


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Text Detection and Recognition in the Wild: A Review


Jun 30, 2020
Zobeir Raisi, Mohamed A. Naiel, Paul Fieguth, Steven Wardell, John Zelek


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Deep Neural Network Perception Models and Robust Autonomous Driving Systems


Mar 04, 2020
Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul Fieguth, Alexander Wong


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Potential adversarial samples for white-box attacks


Dec 13, 2019
Amir Nazemi, Paul Fieguth


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Assessing Architectural Similarity in Populations of Deep Neural Networks


Apr 19, 2019
Audrey Chung, Paul Fieguth, Alexander Wong

* 3 pages. arXiv admin note: text overlap with arXiv:1811.07966 

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ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks


Nov 21, 2018
Xiaodan Hu, Audrey G. Chung, Paul Fieguth, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks


Nov 19, 2018
Audrey Chung, Paul Fieguth, Alexander Wong

* 5 pages 

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From BoW to CNN: Two Decades of Texture Representation for Texture Classification


Oct 03, 2018
Li Liu, Jie Chen, Paul Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikainen

* Accepted by IJCV 

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Deep Learning for Generic Object Detection: A Survey


Sep 06, 2018
Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen

* Submitted to IJCV, 30pages 

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Texture Classification in Extreme Scale Variations using GANet


Feb 13, 2018
Li Liu, Jie Chen, Guoying Zhao, Paul Fieguth, Xilin Chen, Matti Pietikäinen

* submitted to IEEE Transactions on Image Processing 

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Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence


Feb 09, 2018
Audrey G. Chung, Paul Fieguth, Alexander Wong


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The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis


Sep 07, 2017
Audrey Chung, Mohammad Javad Shafiee, Paul Fieguth, Alexander Wong

* 8 pages 

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Domain Adaptation and Transfer Learning in StochasticNets


Dec 18, 2015
Mohammad Javad Shafiee, Parthipan Siva, Paul Fieguth, Alexander Wong

* Vision Letters, Vol. 1, No. 1, pp. VL115, 2015 

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Efficient Deep Feature Learning and Extraction via StochasticNets


Dec 11, 2015
Mohammad Javad Shafiee, Parthipan Siva, Paul Fieguth, Alexander Wong

* 10 pages. arXiv admin note: substantial text overlap with arXiv:1508.05463 

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Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields


Jun 30, 2015
Mohammad Javad Shafiee, Alexander Wong, Paul Fieguth

* 8 pages 

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