Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model. - Spyros Gidaris; Nikos Komodakis (ICCV, 2015)

Object detection via a multi-region & semantic segmentation-aware CNN model. - Spyros Gidaris; Nikos Komodakis (CoRR, 2015)

Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization. - Spyridon Gidaris; Nikos Komodakis (BMVC, 2016)

LocNet: Improving Localization Accuracy for Object Detection. - Spyros Gidaris; Nikos Komodakis (CVPR, 2016)

Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling. - Spyros Gidaris; Nikos Komodakis (CVPR, 2017)

Dynamic Few-Shot Visual Learning Without Forgetting. - Spyros Gidaris; Nikos Komodakis (CVPR, 2018)

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. - George Papandreou; Tyler Zhu; Liang-Chieh Chen; Spyros Gidaris; Jonathan Tompson; Kevin Murphy 002 (ECCV (14), 2018)

Unsupervised Representation Learning by Predicting Image Rotations. - Spyros Gidaris; Praveer Singh; Nikos Komodakis (ICLR (Poster), 2018)

Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning. - Spyros Gidaris; Nikos Komodakis (CVPR, 2019)

Boosting Few-Shot Visual Learning With Self-Supervision. - Spyros Gidaris; Andrei Bursuc; Nikos Komodakis; Patrick Pérez; Matthieu Cord (ICCV, 2019)

Learning Representations by Predicting Bags of Visual Words. - Spyros Gidaris; Andrei Bursuc; Nikos Komodakis; Patrick Pérez; Matthieu Cord (CVPR, 2020)

QuEST: Quantized Embedding Space for Transferring Knowledge. - Himalaya Jain; Spyros Gidaris; Nikos Komodakis; Patrick Pérez; Matthieu Cord (ECCV (21), 2020)

Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach. - Xi Shen 001; Ilaria Pastrolin; Oumayma Bounou; Spyros Gidaris; Marc H. Smith; Olivier Poncet; Mathieu Aubry (ICPR, 2020)

Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. - Spyros Gidaris; Andrei Bursuc; Gilles Puy; Nikos Komodakis; Matthieu Cord; Patrick Pérez (CoRR, 2020)

Localizing Objects with Self-supervised Transformers and no Labels. - Oriane Siméoni; Gilles Puy; Huy V. Vo; Simon Roburin; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Renaud Marlet; Jean Ponce (BMVC, 2021)

OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. - Spyros Gidaris; Andrei Bursuc; Gilles Puy; Nikos Komodakis; Matthieu Cord; Patrick Pérez (CVPR, 2021)

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. - Corentin Sautier; Gilles Puy; Spyros Gidaris; Alexandre Boulch; Andrei Bursuc; Renaud Marlet (CVPR, 2022)

What to Hide from Your Students: Attention-Guided Masked Image Modeling. - Ioannis Kakogeorgiou; Spyros Gidaris; Bill Psomas; Yannis Avrithis; Andrei Bursuc; Konstantinos Karantzalos; Nikos Komodakis (ECCV (30), 2022)

Active Learning Strategies for Weakly-Supervised Object Detection. - Huy V. Vo; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Jean Ponce (ECCV (30), 2022)

Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. - Antonín Vobecký; David Hurych; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic (ECCV (38), 2022)

Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis. - Xi Shen 001; Robin Champenois; Shiry Ginosar; Ilaria Pastrolin; Morgane Rousselot; Oumayma Bounou; Tom Monnier; Spyros Gidaris; François Bougard; Pierre-Guillaume Raverdy; Marie-Françoise Limon-Bonnet; Christine Benevent; et al. (Int. J. Comput. Vis., 2022)

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. - Angelika Ando; Spyros Gidaris; Andrei Bursuc; Gilles Puy; Alexandre Boulch; Renaud Marlet (CVPR, 2023)

POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. - Antonín Vobecký; Oriane Siméoni; David Hurych; Spyridon Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic (NeurIPS, 2023)

Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving. - Gilles Puy; Spyros Gidaris; Alexandre Boulch; Oriane Siméoni; Corentin Sautier; Patrick Pérez; Andrei Bursuc; Renaud Marlet (CoRR, 2023)

SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers. - Ioannis Kakogeorgiou; Spyros Gidaris; Konstantinos Karantzalos; Nikos Komodakis (CVPR, 2024)

Three Pillars Improving Vision Foundation Model Distillation for Lidar. - Gilles Puy; Spyros Gidaris; Alexandre Boulch; Oriane Siméoni; Corentin Sautier; Patrick Pérez; Andrei Bursuc; Renaud Marlet (CVPR, 2024)

OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. - Sophia Sirko-Galouchenko; Alexandre Boulch; Spyros Gidaris; Andrei Bursuc; Antonín Vobecký; Patrick Pérez; Renaud Marlet (CVPR Workshops, 2024)

Valeo4Cast: A Modular Approach to End-to-End Forecasting. - Yihong Xu; Éloi Zablocki; Alexandre Boulch; Gilles Puy; Mickaël Chen; Florent Bartoccioni; Nermin Samet; Oriane Siméoni; Spyros Gidaris; Tuan-Hung Vu; Andrei Bursuc; Eduardo Valle; et al. (ECCV Workshops (7), 2024)

No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations. - Walter Simoncini; Andrei Bursuc; Spyridon Gidaris; Yuki M. Asano (NeurIPS, 2024)

DINO-Foresight: Looking into the Future with DINO. - Efstathios Karypidis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis (CoRR, 2024)

MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. - Spyros Gidaris; Andrei Bursuc; Oriane Siméoni; Antonín Vobecký; Nikos Komodakis; Matthieu Cord; Patrick Pérez (Trans. Mach. Learn. Res., 2024)

Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers. - Efstathios Karypidis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis (CVPR, 2025)

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling. - Theodoros Kouzelis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis (CoRR, 2025)

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling. - Florent Bartoccioni; Elias Ramzi; Victor Besnier; Shashanka Venkataramanan; Tuan-Hung Vu; Yihong Xu; Loïck Chambon; Spyros Gidaris; Serkan Odabas; David Hurych; Renaud Marlet; Alexandre Boulch; et al. (CoRR, 2025)

Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey. - Oriane Siméoni; Éloi Zablocki; Spyros Gidaris; Gilles Puy; Patrick Pérez (Int. J. Comput. Vis., 2025)

Boosting Generative Image Modeling via Joint Image-Feature Synthesis. - Theodoros Kouzelis; Efstathios Karypidis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis (CoRR, 2025)

Multi-Token Prediction Needs Registers. - Anastasios Gerontopoulos; Spyros Gidaris; Nikos Komodakis (CoRR, 2025)

DIP: Unsupervised Dense In-Context Post-training of Visual Representations. - Sophia Sirko-Galouchenko; Spyros Gidaris; Antonín Vobecký; Andrei Bursuc; Nicolas Thome (CoRR, 2025)

Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. - Antonín Vobecký; David Hurych; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic (Int. J. Comput. Vis., 2025)

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning. - Shashanka Venkataramanan; Valentinos Pariza; Mohammadreza Salehi; Lukas Knobel; Spyros Gidaris; Elias Ramzi; Andrei Bursuc; Yuki M. Asano (CoRR, 2025)