Andrei Bursuc

31 papers · 2019–2026 · 8 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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🗺️ Taxonomy Completionist (56) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🧬 Topic Evolution 🤝 Dynamic Duo (13) 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (108) ⚡ Prolific Year · Productive

Venues

CVPR (12) ECCV (6) ICCV (5) CoRL (2) NeurIPS (2) WACV (2) AAAI (1) ICLR (1)

Top co-authors

Spyros Gidaris (13) Patrick Pérez (12) Gilles Puy (6) Gianni Franchi (5) Tuan-Hung VU (5) Matthieu Cord (5) Oriane Siméoni (5) Renaud Marlet (4) Nikos Komodakis (4) Mohammad Fahes (4)

Research topics

Computer Vision (18) Deep Learning (18) Machine Learning (17) Learning Types · Deep Learning (13) Analysis (12) Artificial Intelligence (11) Learning Types · Machine Learning (11) Architectures (7) Application Areas (6) Core AI · Artificial Intelligence (6) Core AI · Computer Vision (6) Core Methods (6) Domain-Specific (6) Learning Paradigms (4) Processing (3)

Keywords

semantic segmentation (8) representation learning (7) self-supervised learning (7) vision-language model (4) out-of-distribution detection (3) few-shot learning (3) autonomous driving (3) domain adaptation (3) image classification (3) domain generalization (2) unsupervised learning (2) lidar point cloud (2) zero-shot learning (2) contrastive learning (2) feature learning (2) vision transformer (2) knowledge distillation (2) object detection (2) point cloud (2) 3d semantic segmentation (2)

Papers

3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds CVPR 2026 CLIP's Visual Embedding Projector is a Few-shot Cornucopia WACV 2026 Driving on Registers CVPR 2026 Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning CVPR 2026 LiDAS: Lighting-driven Dynamic Active Sensing for Nighttime Perception CVPR 2026 DIP: Unsupervised Dense In-Context Post-training of Visual Representations ICCV 2025 FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation ICCV 2025 A Simple Recipe for Language-guided Domain Generalized Segmentation CVPR 2024 CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation ECCV 2024 Learning To Generate Training Datasets for Robust Semantic Segmentation WACV 2024 Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024 No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations NeurIPS 2024 Three Pillars Improving Vision Foundation Model Distillation for Lidar CVPR 2024 Packed Ensembles for efficient uncertainty estimation ICLR 2023 PODA: Prompt-driven Zero-shot Domain Adaptation ICCV 2023 POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images NeurIPS 2023 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 LaRa: Latents and Rays for Multi-Camera Bird’s-Eye-View Semantic Segmentation CoRL 2022 Latent Discriminant Deterministic Uncertainty ECCV 2022 Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks AAAI 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 Triggering Failures: Out-of-Distribution Detection by Learning From Local Adversarial Attacks in Semantic Segmentation ICCV 2021 Learning Representations by Predicting Bags of Visual Words CVPR 2020 PLOP: Probabilistic Polynomial Objects trajectory Prediction for autonomous driving CoRL 2020 TRADI: Tracking Deep Neural network Weight Distributions ECCV 2020 Boosting Few-Shot Visual Learning With Self-Supervision ICCV 2019 Dense Classification and Implanting for Few-Shot Learning CVPR 2019