Marios Savvides

32 papers · 2016–2026 · 7 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🐝 Cross-Pollinator (12) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge

🌍 Conference Polyglot (7) 🏃 Academic Marathon (7) 👥 Mega-Team (22) 🤝 Dynamic Duo (12) 🏆 Keyword Champion (2) 💎 Century Club (31) 📈 Trend Setter 🚀 Conference Pioneer ⚡ Prolific Year (6) 🗃️ Keyword Collector (131) 🔥 Unstoppable (8)

Conferences

CVPR (14) AAAI (5) ECCV (4) ICCV (3) ICLR (3) NIPS (2) WACV (1)

Top co-authors

Zhiqiang Shen (12) Chenchen Zhu (8) Ran Tao (6) Zechun Liu (6) Kwang-Ting Cheng (5) Fangyi Chen (5) Hao Chen (5) Han Zhang (4) Dipan K. Pal (4) Bhiksha Raj (4)

Keywords

few-shot learning (4) object detection (4) model compression (4) binary neural network (3) convolutional neural network (3) feature learning (3) self-supervised learning (3) face recognition (3) representation learning (3) contrastive learning (3) mobile network (2) unsupervised learning (2) evolutionary search (2) semi-supervised learning (2) neural network optimization (2) domain adaptation (2) transfer learning (2) uncertainty quantification (2) parameter efficiency (2) invariant feature (2)

Papers

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 SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning ICLR 2023 FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning ICLR 2023 Enhanced Training of Query-Based Object Detection via Selective Query Recollection CVPR 2023 "Unitail: Detecting, Reading, and Matching in Retail Scene" ECCV 2022 USB: A Unified Semi-supervised Learning Benchmark for Classification NIPS 2022 Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning AAAI 2022 Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling AAAI 2022 Unsupervised Disentanglement of Linear-Encoded Facial Semantics CVPR 2021 Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021 Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection CVPR 2021 S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration CVPR 2021 Contrast and Order Representations for Video Self-Supervised Learning ICCV 2021 Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study ICLR 2021 Soft Anchor-Point Object Detection ECCV 2020 ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions ECCV 2020 Online Ensemble Model Compression using Knowledge Distillation ECCV 2020 Binarizing MobileNet via Evolution-Based Searching CVPR 2020 MoBiNet: A Mobile Binary Network for Image Classification WACV 2020 Bounding Box Regression With Uncertainty for Accurate Object Detection CVPR 2019 Non-Parametric Transformation Networks for Learning General Invariances from Data AAAI 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 Perturbative Neural Networks CVPR 2018 Seeing Small Faces From Robust Anchor's Perspective CVPR 2018 Ring Loss: Convex Feature Normalization for Face Recognition CVPR 2018 Faster Than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses ICCV 2017 Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition ICCV 2017 Local Binary Convolutional Neural Networks CVPR 2017 Max-Margin Invariant Features from Transformed Unlabelled Data NIPS 2017 Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation CVPR 2016