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2020 – today
- 2022
[j35]Ngan Le
, Vidhiwar Singh Rathour, Kashu Yamazaki, Khoa Luu, Marios Savvides:
Deep reinforcement learning in computer vision: a comprehensive survey. Artif. Intell. Rev. 55(4): 2733-2819 (2022)- [i47]Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides:
Unitail: Detecting, Reading, and Matching in Retail Scene. CoRR abs/2204.00298 (2022) - [i46]Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides:
Powering Finetuning in Few-shot Learning: Domain-Agnostic Feature Adaptation with Rectified Class Prototypes. CoRR abs/2204.03749 (2022) - [i45]Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele:
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. CoRR abs/2205.07246 (2022) - 2021
- [j34]Zhiqiang Shen, Mingyang Huang, Jianping Shi, Zechun Liu, Harsh Maheshwari, Yutong Zheng, Xiangyang Xue, Marios Savvides, Thomas S. Huang:
CDTD: A Large-Scale Cross-Domain Benchmark for Instance-Level Image-to-Image Translation and Domain Adaptive Object Detection. Int. J. Comput. Vis. 129(3): 761-780 (2021) - [c161]Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng:
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. AAAI 2021: 9594-9602 - [c160]Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides:
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration. CVPR 2021: 2165-2174 - [c159]Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides:
Unsupervised Disentanglement of Linear-Encoded Facial Semantics. CVPR 2021: 3917-3926 - [c158]Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides:
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection. CVPR 2021: 8782-8791 - [c157]Kai Hu, Jie Shao, Yuan Liu, Bhiksha Raj, Marios Savvides, Zhiqiang Shen:
Contrast and Order Representations for Video Self-supervised Learning. ICCV 2021: 7919-7929 - [c156]Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides:
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study. ICLR 2021 - [i44]Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng:
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. CoRR abs/2102.03983 (2021) - [i43]Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides:
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration. CoRR abs/2102.08946 (2021) - [i42]Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides:
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection. CoRR abs/2103.01903 (2021) - [i41]Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides:
Unsupervised Disentanglement of Linear-Encoded Facial Semantics. CoRR abs/2103.16605 (2021) - [i40]Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides:
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study. CoRR abs/2104.00676 (2021) - [i39]Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki, Khoa Luu, Marios Savvides:
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey. CoRR abs/2108.11510 (2021) - 2020
- [j33]Fangyi Chen, Chenchen Zhu, Zhiqiang Shen, Han Zhang, Marios Savvides:
NCMS: Towards accurate anchor free object detection through ℓ2 norm calibration and multi-feature selection. Comput. Vis. Image Underst. 200: 103050 (2020) - [c155]Dipan K. Pal, Akshay Chawla, Marios Savvides:
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes. BMVC 2020 - [c154]Dipan K. Pal, Sreena Nallamothu, Marios Savvides:
Towards a Hypothesis on Visual Transformation based Self-Supervision. BMVC 2020 - [c153]Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen:
Binarizing MobileNet via Evolution-Based Searching. CVPR 2020: 13417-13426 - [c152]Devesh Walawalkar, Zhiqiang Shen, Marios Savvides:
Online Ensemble Model Compression Using Knowledge Distillation. ECCV (19) 2020: 18-35 - [c151]Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides:
Soft Anchor-Point Object Detection. ECCV (9) 2020: 91-107 - [c150]Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng:
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. ECCV (14) 2020: 143-159 - [c149]Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides:
Solving Missing-Annotation Object Detection with Background Recalibration Loss. ICASSP 2020: 1888-1892 - [c148]Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides:
Attentive Cutmix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification. ICASSP 2020: 3642-3646 - [c147]Ngan Le, Kashu Yamazaki, Kha Gia Quach, Dat T. Truong, Marios Savvides:
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation. ICPR 2020: 5943-5950 - [c146]Ngan Le, Trung Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides:
Offset Curves Loss for Imbalanced Problem in Medical Segmentation. ICPR 2020: 6189-6195 - [c145]Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen:
MoBiNet: A Mobile Binary Network for Image Classification. WACV 2020: 3442-3451 - [i38]Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides:
Solving Missing-Annotation Object Detection with Background Recalibration Loss. CoRR abs/2002.05274 (2020) - [i37]Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng:
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. CoRR abs/2003.03488 (2020) - [i36]Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell:
Rethinking Image Mixture for Unsupervised Visual Representation Learning. CoRR abs/2003.05438 (2020) - [i35]Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides:
Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification. CoRR abs/2003.13048 (2020) - [i34]Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen:
Binarizing MobileNet via Evolution-based Searching. CoRR abs/2005.06305 (2020) - [i33]Zhiqiang Shen, Marios Savvides:
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. CoRR abs/2009.08453 (2020) - [i32]Devesh Walawalkar, Zhiqiang Shen, Marios Savvides:
Online Ensemble Model Compression using Knowledge Distillation. CoRR abs/2011.07449 (2020) - [i31]Ngan Le, Kashu Yamazaki, Dat T. Truong, Kha Gia Quach, Marios Savvides:
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation. CoRR abs/2012.02073 (2020) - [i30]Ngan Le, Trung Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides:
Offset Curves Loss for Imbalanced Problem in Medical Segmentation. CoRR abs/2012.02463 (2020)
2010 – 2019
- 2019
- [j32]Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides, Tien D. Bui:
Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning. Int. J. Comput. Vis. 127(6-7): 957-971 (2019) - [j31]Ramzi Abiantun, Felix Juefei-Xu, Utsav Prabhu, Marios Savvides:
SSR2: Sparse signal recovery for single-image super-resolution on faces with extreme low resolutions. Pattern Recognit. 90: 308-324 (2019) - [c144]Dipan K. Pal, Marios Savvides:
Non-Parametric Transformation Networks for Learning General Invariances from Data. AAAI 2019: 4667-4674 - [c143]Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides:
Improving Object Detection from Scratch via Gated Feature Reuse. BMVC 2019: 247 - [c142]Chenchen Zhu, Yihui He, Marios Savvides:
Feature Selective Anchor-Free Module for Single-Shot Object Detection. CVPR 2019: 840-849 - [c141]Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang:
Bounding Box Regression With Uncertainty for Accurate Object Detection. CVPR 2019: 2888-2897 - [c140]Raied Aljadaany, Dipan K. Pal, Marios Savvides:
Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution. CVPR 2019: 10235-10244 - [c139]Raied Aljadaany, Dipan K. Pal, Marios Savvides:
Proximal Splitting Networks for Image Restoration. ICIAR (1) 2019: 3-17 - [c138]Fangyi Chen, Chenchen Zhu, Marios Savvides:
A Novel Collaborative Control Strategy for Enhanced Training of Vehicle Recognition. VTC Fall 2019: 1-6 - [c137]Dipan K. Pal, Chandrasekhar Bhagavatula, Yutong Zheng, Ran Tao, Marios Savvides:
Is Pose Really Solved? A Frontalization Study On Off-Angle Face Matching. WACV 2019: 2058-2067 - [i29]Chenchen Zhu, Yihui He, Marios Savvides:
Feature Selective Anchor-Free Module for Single-Shot Object Detection. CoRR abs/1903.00621 (2019) - [i28]Raied Aljadaany, Dipan K. Pal, Marios Savvides:
Proximal Splitting Networks for Image Restoration. CoRR abs/1903.07154 (2019) - [i27]Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen:
MoBiNet: A Mobile Binary Network for Image Classification. CoRR abs/1907.12629 (2019) - [i26]Zhiqiang Shen, Zhankui He, Wanyun Cui, Jiahui Yu, Yutong Zheng, Chenchen Zhu, Marios Savvides:
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement. CoRR abs/1908.08520 (2019) - [i25]Zhiqiang Shen, Harsh Maheshwari, Weichen Yao, Marios Savvides:
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses. CoRR abs/1911.02559 (2019) - [i24]Dipan K. Pal, Marios Savvides:
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes. CoRR abs/1911.05266 (2019) - [i23]Dipan K. Pal, Sreena Nallamothu, Marios Savvides:
Towards a Hypothesis on Visual Transformation based Self-Supervision. CoRR abs/1911.10594 (2019) - [i22]Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides:
Soft Anchor-Point Object Detection. CoRR abs/1911.12448 (2019) - 2018
- [j30]T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Kha Gia Quach, Marios Savvides:
Deep contextual recurrent residual networks for scene labeling. Pattern Recognit. 80: 32-41 (2018) - [j29]T. Hoang Ngan Le, Kha Gia Quach, Khoa Luu, Chi Nhan Duong, Marios Savvides:
Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation. IEEE Trans. Image Process. 27(5): 2393-2407 (2018) - [c136]Felix Juefei-Xu, Rahul Dey, Vishnu Naresh Boddeti, Marios Savvides:
RankGAN: A Maximum Margin Ranking GAN for Generating Faces. ACCV (3) 2018: 3-18 - [c135]Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Perturbative Neural Networks. CVPR 2018: 3310-3318 - [c134]Yutong Zheng, Dipan K. Pal, Marios Savvides:
Ring Loss: Convex Feature Normalization for Face Recognition. CVPR 2018: 5089-5097 - [c133]Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides:
Seeing Small Faces From Robust Anchor's Perspective. CVPR 2018: 5127-5136 - [c132]Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides:
Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild. FG 2018: 226-233 - [c131]Ibrahim Alkanhal, B. V. K. Vijaya Kumar, Marios Savvides:
Automatic Seizure Detection via an Optimized Image-Based Deep Feature Learning. ICMLA 2018: 536-540 - [c130]T. Hoang Ngan Le, Raajitha Gummadi, Marios Savvides:
Deep Recurrent Level Set for Segmenting Brain Tumors. MICCAI (3) 2018: 646-653 - [i21]Dipan K. Pal, Marios Savvides:
Non-Parametric Transformation Networks. CoRR abs/1801.04520 (2018) - [i20]Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides:
Seeing Small Faces from Robust Anchor's Perspective. CoRR abs/1802.09058 (2018) - [i19]Yutong Zheng, Dipan K. Pal, Marios Savvides:
Ring loss: Convex Feature Normalization for Face Recognition. CoRR abs/1803.00130 (2018) - [i18]Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Perturbative Neural Networks. CoRR abs/1806.01817 (2018) - [i17]Yihui He, Xiangyu Zhang, Marios Savvides, Kris Kitani:
Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection. CoRR abs/1809.08545 (2018) - [i16]T. Hoang Ngan Le, Raajitha Gummadi, Marios Savvides:
Deep Recurrent Level Set for Segmenting Brain Tumors. CoRR abs/1810.04752 (2018) - [i15]Rahul Dey, Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
RankGAN: A Maximum Margin Ranking GAN for Generating Faces. CoRR abs/1812.08196 (2018) - 2017
- [j28]T. Hoang Ngan Le, Khoa Luu, Chenchen Zhu, Marios Savvides:
Semi self-training beard/moustache detection and segmentation simultaneously. Image Vis. Comput. 58: 214-223 (2017) - [j27]Khoa Luu, Marios Savvides, Tien D. Bui, Ching Y. Suen:
Compressed Submanifold Multifactor Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 444-456 (2017) - [j26]T. Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides:
DeepSafeDrive: A grammar-aware driver parsing approach to Driver Behavioral Situational Awareness (DB-SAW). Pattern Recognit. 66: 229-238 (2017) - [c129]T. Hoang Ngan Le, Kha Gia Quach, Chenchen Zhu, Chi Nhan Duong, Khoa Luu, Marios Savvides:
Robust Hand Detection and Classification in Vehicles and in the Wild. CVPR Workshops 2017: 1203-1210 - [c128]Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Local Binary Convolutional Neural Networks. CVPR 2017: 4284-4293 - [c127]Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides:
Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition. ICCV 2017: 3755-3763 - [c126]Chandrasekhar Bhagavatula, Chenchen Zhu, Khoa Luu, Marios Savvides:
Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses. ICCV 2017: 4000-4009 - [c125]Ligong Han, T. Hoang Ngan Le, Marios Savvides:
An automatic cells detection and segmentation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101370W - [c124]Dipan K. Pal, Ashwin A. Kannan, Gautam Arakalgud, Marios Savvides:
Max-Margin Invariant Features from Transformed Unlabelled Data. NIPS 2017: 1439-1447 - [i14]Dipan K. Pal, Vishnu Naresh Boddeti, Marios Savvides:
Emergence of Selective Invariance in Hierarchical Feed Forward Networks. CoRR abs/1701.08837 (2017) - [i13]Dipan K. Pal, Marios Savvides:
How ConvNets model Non-linear Transformations. CoRR abs/1702.07664 (2017) - [i12]Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides:
Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition. CoRR abs/1703.08617 (2017) - [i11]T. Hoang Ngan Le, Kha Gia Quach, Khoa Luu, Marios Savvides, Chenchen Zhu:
Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation. CoRR abs/1704.03593 (2017) - [i10]T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Marios Savvides, Dipan K. Pal:
Deep Contextual Recurrent Residual Networks for Scene Labeling. CoRR abs/1704.03594 (2017) - [i9]Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking. CoRR abs/1704.04865 (2017) - [i8]Chandrasekhar Bhagavatula, Chenchen Zhu, Khoa Luu, Marios Savvides:
Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses. CoRR abs/1707.05653 (2017) - [i7]Dipan K. Pal, Ashwin A. Kannan, Gautam Arakalgud, Marios Savvides:
Max-Margin Invariant Features from Transformed Unlabeled Data. CoRR abs/1710.08585 (2017) - [i6]Pokkalla Harsha Vardhan, Kunal Sekhri, Dipan K. Pal, Marios Savvides:
Class Correlation affects Single Object Localization using Pre-trained ConvNets. CoRR abs/1710.09685 (2017) - [i5]Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides:
Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning. CoRR abs/1711.10520 (2017) - 2016
- [j25]Keshav Seshadri, Marios Savvides:
Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2110-2122 (2016) - [j24]Felix Juefei-Xu, Marios Savvides:
Multi-class Fukunaga Koontz discriminant analysis for enhanced face recognition. Pattern Recognit. 52: 186-205 (2016) - [j23]T. Hoang Ngan Le, Marios Savvides:
A novel Shape Constrained Feature-based Active Contour model for lips/mouth segmentation in the wild. Pattern Recognit. 54: 23-33 (2016) - [c123]Felix Juefei-Xu, Marios Savvides:
Learning to Invert Local Binary Patterns. BMVC 2016 - [c122]Felix Juefei-Xu, Marios Savvides:
Fastfood dictionary learning for periocular-based full face hallucination. BTAS 2016: 1-8 - [c121]Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides:
Towards a deep learning framework for unconstrained face detection. BTAS 2016: 1-8 - [c120]T. Hoang Ngan Le, Yutong Zheng, Chenchen Zhu, Khoa Luu, Marios Savvides:
Multiple Scale Faster-RCNN Approach to Driver's Cell-Phone Usage and Hands on Steering Wheel Detection. CVPR Workshops 2016: 46-53 - [c119]Chenchen Zhu, Yutong Zheng, Khoa Luu, T. Hoang Ngan Le, Chandrasekhar Bhagavatula, Marios Savvides:
Weakly Supervised Facial Analysis with Dense Hyper-Column Features. CVPR Workshops 2016: 93-101 - [c118]Felix Juefei-Xu, Eshan Verma, Parag Goel, Anisha Cherodian, Marios Savvides:
DeepGender: Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Convolutional Neural Networks with Attention. CVPR Workshops 2016: 136-145 - [c117]Dipan K. Pal, Felix Juefei-Xu, Marios Savvides:
Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation. CVPR 2016: 5590-5599 - [c116]Paul Buchana, Irina Cazan, Manuel Diaz-Granados, Felix Juefei-Xu, Marios Savvides:
Simultaneous forgery identification and localization in paintings using advanced correlation filters. ICIP 2016: 146-150 - [c115]T. Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides:
Robust hand detection in Vehicles. ICPR 2016: 573-578 - [c114]Chandrasekhar Bhagavatula, Raied Aljadaany, Marios Savvides:
Pose estimation using Spectral and Singular Value recomposition. ICPR 2016: 4095-4100 - [i4]Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides:
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection. CoRR abs/1606.05413 (2016) - [i3]Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Local Binary Convolutional Neural Networks. CoRR abs/1608.06049 (2016) - [i2]Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides:
Towards a Deep Learning Framework for Unconstrained Face Detection. CoRR abs/1612.05322 (2016) - 2015
- [j22]T. Hoang Ngan Le, Keshav Seshadri, Khoa Luu, Marios Savvides:
Facial aging and asymmetry decomposition based approaches to identification of twins. Pattern Recognit. 48(12): 3843-3856 (2015) - [j21]Felix Juefei-Xu, Khoa Luu, Marios Savvides:
Spartans: Single-Sample Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios. IEEE Trans. Image Process. 24(12): 4780-4795 (2015) - [c113]Felix Juefei-Xu, Marios Savvides:
Pokerface: Partial order keeping and energy repressing method for extreme face illumination normalization. BTAS 2015: 1-8 - [c112]Felix Juefei-Xu, Dipan K. Pal, Karanhaar Singh, Marios Savvides:
A preliminary investigation on the sensitivity of COTS face recognition systems to forensic analyst-style face processing for occlusions. CVPR Workshops 2015: 25-33 - [c111]Keshav Seshadri, Felix Juefei-Xu, Dipan K. Pal, Marios Savvides, Craig P. Thor:
Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos. CVPR Workshops 2015: 35-43 - [c110]Shreyas Venugopalan, Felix Juefei-Xu, Benjamin Cowley, Marios Savvides:
Electromyograph and keystroke dynamics for spoof-resistant biometric authentication. CVPR Workshops 2015: 109-118 - [c109]Felix Juefei-Xu, Dipan K. Pal, Marios Savvides:
NIR-VIS heterogeneous face recognition via cross-spectral joint dictionary learning and reconstruction. CVPR Workshops 2015: 141-150 - [c108]T. Hoang Ngan Le, Khoa Luu, Marios Savvides:
Fast and robust self-training beard/moustache detection and segmentation. ICB 2015: 507-512 - [c107]Niv Zehngut, Felix Juefei-Xu, Rishabh Bardia, Dipan K. Pal, Chandrasekhar Bhagavatula, Marios Savvides:
Investigating the feasibility of image-based nose biometrics. ICIP 2015: 522-526 - [c106]Felix Juefei-Xu, Marios Savvides:
Pareto-optimal discriminant analysis. ICIP 2015: 611-615 - [c105]Karanhaar Singh, Khoa Luu, T. Hoang Ngan Le, Marios Savvides:
A robust contour sampling and tensor-based approach to facial beard and mustache shape segmentation and matching. ICIP 2015: 1399-1403 - [c104]Felix Juefei-Xu, Marios Savvides:
Single face image super-resolution via solo dictionary learning. ICIP 2015: 2239-2243 - [c103]Felix Juefei-Xu, Marios Savvides:
Encoding and decoding local binary patterns for harsh face illumination normalization. ICIP 2015: 3220-3224 - [c102]Raied Aljadaany, Khoa Luu, Shreyas Venugopalan, Marios Savvides:
IRIS super-resolution via nonparametric over-complete dictionary learning. ICIP 2015: 3856-3860 - [r12]Yung-hui Li, Marios Savvides:
Automatic Classification of Left/Right Iris Image. Encyclopedia of Biometrics 2015: 134-138 - [r11]Yung-hui Li, Marios Savvides, Jason Thornton, B. V. K. Vijaya Kumar:
Iris Recognition Using Correlation Filters. Encyclopedia of Biometrics 2015: 1015-1023 - [r10]Yung-hui Li, Marios Savvides:
Iris Recognition, Overview. Encyclopedia of Biometrics 2015: 1023-1032 - [r9]