Marios Savvides

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 140

Top Venues

CoRR

CVPR

CVPR Workshops

ICIP

Publications

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)
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 (2023)
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)
Xuan-Bac Nguyen, Chi Nhan Duong, Marios Savvides, Kaushik Roy, Khoa Luu
Fairness in Visual Clustering: A Novel Transformer Clustering Approach. CoRR (2023)
Ibrahim Alkanhal, Abdullah Almansour, Lamia Alsalloom, Raied Aljadaany, Marios Savvides
Cov Loss: Covariance-Based Loss for Deep Face Recognition. ICASSP (2023)
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)
Ran Tao, Hao Chen, Marios Savvides
Boosting Transductive Few-Shot Fine-tuning with Margin-based Uncertainty Weighting and Probability Regularization. CVPR (2023)
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 (2023)
Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling. AAAI (2022)
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) (2022)
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, Yu-Feng 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)
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 (2022)
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)
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 (2022)
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 (2022)
Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Po Xing
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning. AAAI (2022)
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 (2022)
Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides
Powering Finetuning in Few-shot Learning: Domain-Agnostic Feature Adaptation with Rectified Class Prototypes. CoRR (2022)
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 (2022)
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 (2022)
Hao Chen, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Marios Savvides, Bhiksha Raj
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning. CoRR (2022)
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, Yu-Feng 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 (2022)
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 (2021)
Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki, Khoa Luu, Marios Savvides
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey. CoRR (2021)
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) (2021)
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)
Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides
Unsupervised Disentanglement of Linear-Encoded Facial Semantics. CoRR (2021)
Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection. CoRR (2021)
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)
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)
Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection. CVPR (2021)
Kai Hu, Jie Shao, Yuan Liu, Bhiksha Raj, Marios Savvides, Zhiqiang Shen
Contrast and Order Representations for Video Self-supervised Learning. ICCV (2021)
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 (2021)
Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides
Unsupervised Disentanglement of Linear-Encoded Facial Semantics. CVPR (2021)
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 (2021)
Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides
Solving Missing-Annotation Object Detection with Background Recalibration Loss. ICASSP (2020)
Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen
Binarizing MobileNet via Evolution-based Searching. CoRR (2020)
Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides
Attentive Cutmix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification. ICASSP (2020)
Dipan K. Pal, Sreena Nallamothu, Marios Savvides
Towards a Hypothesis on Visual Transformation based Self-Supervision. BMVC (2020)
Ngan Le, Trung Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides
Offset Curves Loss for Imbalanced Problem in Medical Segmentation. CoRR (2020)
Zhiqiang Shen, Marios Savvides
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. CoRR (2020)
Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides
Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification. CoRR (2020)
Devesh Walawalkar, Zhiqiang Shen, Marios Savvides
Online Ensemble Model Compression Using Knowledge Distillation. ECCV (19) (2020)
Ngan Le, Trung Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides
Offset Curves Loss for Imbalanced Problem in Medical Segmentation. ICPR (2020)
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)
Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. CoRR (2020)
Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. ECCV (14) (2020)
Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen
Binarizing MobileNet via Evolution-Based Searching. CVPR (2020)
Devesh Walawalkar, Zhiqiang Shen, Marios Savvides
Online Ensemble Model Compression using Knowledge Distillation. CoRR (2020)
Dipan K. Pal, Akshay Chawla, Marios Savvides
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes. BMVC (2020)
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 (2020)
Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen
MoBiNet: A Mobile Binary Network for Image Classification. WACV (2020)
Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides
Solving Missing-Annotation Object Detection with Background Recalibration Loss. CoRR (2020)
Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides
Soft Anchor-Point Object Detection. ECCV (9) (2020)
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 (2020)
Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell
Rethinking Image Mixture for Unsupervised Visual Representation Learning. CoRR (2020)
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 (2019)
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)
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)
Chenchen Zhu, Yihui He, Marios Savvides
Feature Selective Anchor-Free Module for Single-Shot Object Detection. CVPR (2019)
Raied Aljadaany, Dipan K. Pal, Marios Savvides
Proximal Splitting Networks for Image Restoration. ICIAR (1) (2019)
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 (2019)
Fangyi Chen, Chenchen Zhu, Marios Savvides
A Novel Collaborative Control Strategy for Enhanced Training of Vehicle Recognition. VTC Fall (2019)
Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang
Bounding Box Regression With Uncertainty for Accurate Object Detection. CVPR (2019)
Zhiqiang Shen, Harsh Maheshwari, Weichen Yao, Marios Savvides
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses. CoRR (2019)
Dipan K. Pal, Marios Savvides
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes. CoRR (2019)
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) (2019)
Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen
MoBiNet: A Mobile Binary Network for Image Classification. CoRR (2019)
Dipan K. Pal, Sreena Nallamothu, Marios Savvides
Towards a Hypothesis on Visual Transformation based Self-Supervision. CoRR (2019)
Dipan K. Pal, Marios Savvides
Non-Parametric Transformation Networks for Learning General Invariances from Data. AAAI (2019)
Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides
Soft Anchor-Point Object Detection. CoRR (2019)
Chenchen Zhu, Yihui He, Marios Savvides
Feature Selective Anchor-Free Module for Single-Shot Object Detection. CoRR (2019)
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)
Raied Aljadaany, Dipan K. Pal, Marios Savvides
Proximal Splitting Networks for Image Restoration. CoRR (2019)
Yutong Zheng, Dipan K. Pal, Marios Savvides
Ring loss: Convex Feature Normalization for Face Recognition. CoRR (2018)
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) (2018)
Ibrahim Alkanhal, B. V. K. Vijaya Kumar, Marios Savvides
Automatic Seizure Detection via an Optimized Image-Based Deep Feature Learning. ICMLA (2018)
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
Perturbative Neural Networks. CVPR (2018)
Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides
Seeing Small Faces from Robust Anchor's Perspective. CoRR (2018)
Felix Juefei-Xu, Rahul Dey, Vishnu Naresh Boddeti, Marios Savvides
RankGAN: A Maximum Margin Ranking GAN for Generating Faces. ACCV (3) (2018)
Yihui He, Xiangyu Zhang, Marios Savvides, Kris Kitani
Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection. CoRR (2018)
Rahul Dey, Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
RankGAN: A Maximum Margin Ranking GAN for Generating Faces. CoRR (2018)
Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild. FG (2018)
Dipan K. Pal, Marios Savvides
Non-Parametric Transformation Networks. CoRR (2018)
Yutong Zheng, Dipan K. Pal, Marios Savvides
Ring Loss: Convex Feature Normalization for Face Recognition. CVPR (2018)
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
Perturbative Neural Networks. CoRR (2018)
Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides
Seeing Small Faces From Robust Anchor's Perspective. CVPR (2018)
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 (2018)
T. Hoang Ngan Le, Raajitha Gummadi, Marios Savvides
Deep Recurrent Level Set for Segmenting Brain Tumors. CoRR (2018)
T. Hoang Ngan Le, Raajitha Gummadi, Marios Savvides
Deep Recurrent Level Set for Segmenting Brain Tumors. MICCAI (3) (2018)
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 (2017)
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)
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)
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking. CoRR (2017)
Pokkalla Harsha Vardhan, Kunal Sekhri, Dipan K. Pal, Marios Savvides
Class Correlation affects Single Object Localization using Pre-trained ConvNets. CoRR (2017)
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
Local Binary Convolutional Neural Networks. CVPR (2017)
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)
Khoa Luu, Marios Savvides, Tien D. Bui, Ching Y. Suen
Compressed Submanifold Multifactor Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 39 (3) (2017)
Dipan K. Pal, Ashwin A. Kannan, Gautam Arakalgud, Marios Savvides
Max-Margin Invariant Features from Transformed Unlabelled Data. NIPS (2017)
Dipan K. Pal, Vishnu Naresh Boddeti, Marios Savvides
Emergence of Selective Invariance in Hierarchical Feed Forward Networks. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marios Savvides