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ORCIDMarios Savvides
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- affiliation: Carnegie Mellon University, CyLab Biometrics Center, Pittsburgh, PA, USA
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2020 – today
- 2024
[i55]Fangyi Chen, Han Zhang, Zhantao Yang, Hao Chen, Kai Hu, Marios Savvides:
RTGen: Generating Region-Text Pairs for Open-Vocabulary Object Detection. CoRR abs/2405.19854 (2024)- [i54]Yu-Kai Huang, Yutong Zheng, Yen-Shuo Su, Anudeepsekhar Bolimera, Han Zhang, Fangyi Chen, Marios Savvides:
A Reference-Based 3D Semantic-Aware Framework for Accurate Local Facial Attribute Editing. CoRR abs/2407.18392 (2024) - 2023
- [j37]Christopher G. Schwarz
, Walter K. Kremers, Arvin Arani, Marios Savvides, Robert I. Reid, Jeffrey L. Gunter, Matthew L. Senjem, Petrice M. Cogswell, Prashanthi Vemuri, Kejal Kantarci, David S. Knopman, Ronald C. Petersen, Clifford R. Jack:
A face-off of MRI research sequences by their need for de-facing. NeuroImage 276: 120199 (2023) - [c170]Ran Tao, Hao Chen, Marios Savvides:
Boosting Transductive Few-Shot Fine-tuning with Margin-based Uncertainty Weighting and Probability Regularization. CVPR 2023: 15752-15761 - [c169]Fangyi Chen, Han Zhang, Kai Hu, Yu-Kai Huang, Chenchen Zhu, Marios Savvides:
Enhanced Training of Query-Based Object Detection via Selective Query Recollection. CVPR 2023: 23756-23765 - [c168]Ibrahim Alkanhal, Abdullah Almansour, Lamia Alsalloom, Raied Aljadaany, Marios Savvides:
Cov Loss: Covariance-Based Loss for Deep Face Recognition. ICASSP 2023: 1-5 - [c167]Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides:
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. ICLR 2023 - [c166]Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie:
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. ICLR 2023 - [i53]Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides:
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning. CoRR abs/2301.10921 (2023) - [i52]Xuan-Bac Nguyen, Chi Nhan Duong, Marios Savvides, Kaushik Roy, Khoa Luu:
Fairness in Visual Clustering: A Novel Transformer Clustering Approach. CoRR abs/2304.07408 (2023) - 2022
- [j36]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) - [j35]Christopher G. Schwarz, Walter K. Kremers, Val J. Lowe, Marios Savvides, Jeffrey L. Gunter, Matthew L. Senjem, Prashanthi Vemuri, Kejal Kantarci, David S. Knopman, Ronald C. Petersen, Clifford R. Jack Jr.:
Face recognition from research brain PET: An unexpected PET problem. NeuroImage 258: 119357 (2022) - [c165]Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Poe Xing:
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning. AAAI 2022: 2216-2224 - [c164]Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides:
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling. AAAI 2022: 8467-8475 - [c163]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. ECCV (7) 2022: 705-722 - [c162]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS 2022 - [i51]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) - [i50]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) - [i49]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) - [i48]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark. CoRR abs/2208.07204 (2022) - [i47]Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides:
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. CoRR abs/2208.07463 (2022) - [i46]Thanh-Dat Truong, Chi Nhan Duong, Ngan Le, Marios Savvides, Khoa Luu:
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition. CoRR abs/2209.04920 (2022) - [i45]Fangyi Chen, Han Zhang, Kai Hu, Yu-Kai Huang, Chenchen Zhu, Marios Savvides:
Enhanced Training of Query-Based Object Detection via Selective Query Recollection. CoRR abs/2212.07593 (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]