Spyros Gidaris
24 papers · 2015–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (36) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half
🤝
Dynamic Duo
(14)
🚀
Conference Pioneer
🔥
Unstoppable · Silver
💎
Century Club · Bronze
🗃️
Keyword Collector
(88)
Top co-authors
Research topics
Deep Learning
(17)
Machine Learning
(15)
Computer Vision
(14)
Learning Types · Machine Learning
(9)
Analysis
(8)
Architectures
(8)
Core Methods
(8)
Learning Types · Deep Learning
(8)
Domain-Specific
(5)
Artificial Intelligence
(4)
Core AI · Computer Vision
(4)
Application Areas
(3)
Learning Paradigms
(3)
Processing
(3)
Core AI · Artificial Intelligence
(1)
Keywords
representation learning
(7)
self-supervised learning
(7)
autonomous driving
(4)
image classification
(4)
convolutional neural network
(3)
few-shot learning
(3)
object detection
(3)
vision transformer
(2)
3d semantic segmentation
(2)
transfer learning
(2)
semantic segmentation
(2)
unsupervised learning
(2)
feature learning
(2)
knowledge distillation
(2)
bounding box
(2)
structured prediction
(1)
computer vision
(1)
feature extraction
(1)
domain adaptation
(1)
image segmentation
(1)
Papers
Driving on Registers
CVPR 2026
Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning
CVPR 2026
Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers
CVPR 2025
DIP: Unsupervised Dense In-Context Post-training of Visual Representations
ICCV 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
ICML 2025
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
NeurIPS 2024
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
CVPR 2024
Three Pillars Improving Vision Foundation Model Distillation for Lidar
CVPR 2024
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
CVPR 2023
Active Learning Strategies for Weakly-Supervised Object Detection
ECCV 2022
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation
ECCV 2022
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
CVPR 2022
What to Hide from Your Students: Attention-Guided Masked Image Modeling
ECCV 2022
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
CVPR 2021
Learning Representations by Predicting Bags of Visual Words
CVPR 2020
QuEST: Quantized Embedding Space for Transferring Knowledge
ECCV 2020
Boosting Few-Shot Visual Learning With Self-Supervision
ICCV 2019
Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning
CVPR 2019
Dynamic Few-Shot Visual Learning Without Forgetting
CVPR 2018
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
ECCV 2018
Unsupervised Representation Learning by Predicting Image Rotations
ICLR 2018
Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling
CVPR 2017
LocNet: Improving Localization Accuracy for Object Detection
CVPR 2016
Object Detection via a Multi-Region and Semantic Segmentation-Aware CNN Model
ICCV 2015