Marios Savvides
33 papers · 2016–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(21)
Deep Learning
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Computer Vision
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Analysis
(10)
Artificial Intelligence
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Keywords
model compression
(4)
object detection
(4)
few-shot learning
(4)
semi-supervised learning
(4)
contrastive learning
(3)
convolutional neural network
(3)
feature learning
(3)
face recognition
(3)
self-supervised learning
(3)
representation learning
(3)
binary neural network
(3)
image classification
(2)
unsupervised learning
(2)
parameter efficiency
(2)
pseudo labeling
(2)
domain adaptation
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transfer learning
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uncertainty quantification
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knowledge distillation
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neural network optimization
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Papers
Self-Corrected Image Generation with Explainable Latent Rewards
CVPR 2026
STELAR-VISION: Self-Topology-Aware Efficient Learning for Aligned Reasoning in Vision
AAAI 2026
Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization
CVPR 2023
Enhanced Training of Query-Based Object Detection via Selective Query Recollection
CVPR 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
ICLR 2023
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning
ICLR 2023
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
AAAI 2022
"Unitail: Detecting, Reading, and Matching in Retail Scene"
ECCV 2022
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
AAAI 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
NeurIPS 2022
Contrast and Order Representations for Video Self-Supervised Learning
ICCV 2021
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
ICLR 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
AAAI 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration
CVPR 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
CVPR 2021
Unsupervised Disentanglement of Linear-Encoded Facial Semantics
CVPR 2021
Binarizing MobileNet via Evolution-Based Searching
CVPR 2020
MoBiNet: A Mobile Binary Network for Image Classification
WACV 2020
Online Ensemble Model Compression using Knowledge Distillation
ECCV 2020
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
ECCV 2020
Soft Anchor-Point Object Detection
ECCV 2020
Bounding Box Regression With Uncertainty for Accurate Object Detection
CVPR 2019
Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution
CVPR 2019
Feature Selective Anchor-Free Module for Single-Shot Object Detection
CVPR 2019
Non-Parametric Transformation Networks for Learning General Invariances from Data
AAAI 2019
Perturbative Neural Networks
CVPR 2018
Ring Loss: Convex Feature Normalization for Face Recognition
CVPR 2018
Seeing Small Faces From Robust Anchor's Perspective
CVPR 2018
Faster Than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses
ICCV 2017
Local Binary Convolutional Neural Networks
CVPR 2017
Max-Margin Invariant Features from Transformed Unlabelled Data
NeurIPS 2017
Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition
ICCV 2017
Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation
CVPR 2016