Giorgos Tolias
25 papers · 2013–2025 · 5 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐ Renaissance Researcher (6) ๐ Academic Marathon (12) ๐ Conference Polyglot (5) ๐บ๏ธ Taxonomy Completionist (47)
๐บ๏ธ
Taxonomy Completionist
(47)
๐งญ
Keyword Pioneer
๐ฃ
Hot Topic Early Bird
๐ค
Dynamic Duo
(14)
๐งฌ
Topic Evolution
๐
Keyword Champion
(2)
๐
Conference Pioneer
๐
Century Club
(25)
๐๏ธ
Keyword Collector
(95)
โ
The Questioner
โก
Prolific Year
(7)
Conferences
CVPR (13)
ECCV (4)
WACV (4)
ICCV (3)
NIPS (1)
Top co-authors
Keywords
image retrieval
(11)
local descriptor
(3)
distribution shift
(3)
metric learning
(3)
representation learning
(3)
semantic segmentation
(3)
label propagation
(3)
vision-language model
(3)
convolutional neural network
(3)
kernel methods
(2)
zero-shot learning
(2)
manifold learning
(2)
match kernel
(2)
domain generalization
(2)
semi-supervised learning
(2)
approximate nearest neighbor
(2)
feature map
(2)
transductive learning
(1)
scene understanding
(1)
similarity search
(1)
Papers
Composed Image Retrieval for Training-Free Domain Conversion
WACV 2025
LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation
CVPR 2025
ILIAS: Instance-Level Image retrieval At Scale
CVPR 2025
LOCORE: Image Re-ranking with Long-Context Sequence Modeling
CVPR 2025
A Dataset for Semantic Segmentation in the Presence of Unknowns
CVPR 2025
Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
ICCV 2025
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization
WACV 2025
Training Ensembles With Inliers and Outliers for Semi-Supervised Active Learning
WACV 2024
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval
ECCV 2024
Label Propagation for Zero-shot Classification with Vision-Language Models
CVPR 2024
Test-time Training for Matching-based Video Object Segmentation
NIPS 2023
Large-to-Small Image Resolution Asymmetry in Deep Metric Learning
WACV 2023
Recall@k Surrogate Loss With Large Batches and Similarity Mixup
CVPR 2022
Graph convolutional networks for learning with few clean and many noisy labels
ECCV 2020
Learning and Aggregating Deep Local Descriptors for Instance-level Recognition
ECCV 2020
Label Propagation for Deep Semi-Supervised Learning
CVPR 2019
Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower
ICCV 2019
Explicit Spatial Encoding for Deep Local Descriptors
CVPR 2019
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
CVPR 2018
Fast Spectral Ranking for Similarity Search
CVPR 2018
Mining on Manifolds: Metric Learning Without Labels
CVPR 2018
Deep Shape Matching
ECCV 2018
Efficient Diffusion on Region Manifolds: Recovering Small Objects With Compact CNN Representations
CVPR 2017
Asymmetric Feature Maps With Application to Sketch Based Retrieval
CVPR 2017
To Aggregate or Not to aggregate: Selective Match Kernels for Image Search
ICCV 2013