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← Authors

Piotr Bojanowski

27 papers · 2015–2025 · 11 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸƒ Academic Marathon (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (12)
🌍 Conference Polyglot (11) πŸƒ Academic Marathon (10) 🐣 Hot Topic Early Bird 🧬 Topic Evolution 🀝 Dynamic Duo (13) πŸ—ƒοΈ Keyword Collector (107) πŸš€ Conference Pioneer πŸ’Ž Century Club (27) πŸ”₯ Unstoppable (11) πŸ“ˆ Trend Setter

Conferences

CVPR (5) ICCV (5) ICML (3) NIPS (3) ACL (2) ECCV (2) ICLR (2) NAACL (2) CORL (1) EACL (1) EMNLP (1)

Top co-authors

Armand Joulin (13) Edouard Grave (8) Mathilde Caron (7) Ishan Misra (6) Ivan Laptev (5) Michael Rabbat (4) Maxime Oquab (4) Nicolas Ballas (4) Herve Jegou (4) Julien Mairal (4)

Keywords

representation learning (6) self-supervised learning (6) image classification (5) unsupervised learning (4) semantic segmentation (4) vision transformer (3) video segmentation (2) word embedding (2) neural network (2) feature learning (2) convolutional neural network (2) efficient computing (2) language modeling (2) convex relaxation (2) language model (2) knowledge distillation (2) spectral clustering (1) self-attention mechanism (1) image generation (1) offline reinforcement learning (1)

Papers

DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment CVPR 2025 Vision Transformers Need Registers ICLR 2024 You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning NIPS 2024 The hidden uniform cluster prior in self-supervised learning ICLR 2023 Co-Training 2L Submodels for Visual Recognition CVPR 2023 Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture CVPR 2023 Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping CORL 2022 Masked Siamese Networks for Label-Efficient Learning ECCV 2022 Emerging Properties in Self-Supervised Vision Transformers ICCV 2021 Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples ICCV 2021 XCiT: Cross-Covariance Image Transformers NIPS 2021 Unsupervised Learning of Visual Features by Contrasting Cluster Assignments NIPS 2020 Training Hybrid Language Models by Marginalizing over Segmentations ACL 2019 Unsupervised Pre-Training of Image Features on Non-Curated Data ICCV 2019 Misspelling Oblivious Word Embeddings NAACL 2019 Adaptive Attention Span in Transformers ACL 2019 Deep Clustering for Unsupervised Learning of Visual Features ECCV 2018 Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion EMNLP 2018 Optimizing the Latent Space of Generative Networks ICML 2018 Colorless Green Recurrent Networks Dream Hierarchically NAACL 2018 Parseval Networks: Improving Robustness to Adversarial Examples ICML 2017 Unsupervised Learning by Predicting Noise ICML 2017 Learning From Video and Text via Large-Scale Discriminative Clustering ICCV 2017 Bag of Tricks for Efficient Text Classification EACL 2017 Instance-Level Video Segmentation From Object Tracks CVPR 2016 Unsupervised Learning From Narrated Instruction Videos CVPR 2016 Weakly-Supervised Alignment of Video With Text ICCV 2015