← Authors

Marios Savvides

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

Achievements

🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (66) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (7) πŸ‘₯ Mega-Team (22) 🀝 Dynamic Duo (12) πŸ† Keyword Champion (2) πŸ’Ž Century Club (31) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (131) πŸ”₯ 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