Andrei Bursuc
27 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (10)
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Taxonomy Completionist
(54)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🤝
Dynamic Duo
(12)
⚡
Prolific Year
(7)
🗃️
Keyword Collector
(91)
🔥
Unstoppable
(8)
💎
Century Club
(27)
Conferences
CVPR (8)
ECCV (6)
ICCV (5)
CORL (2)
NIPS (2)
WACV (2)
AAAI (1)
ICLR (1)
Top co-authors
Keywords
semantic segmentation
(7)
representation learning
(5)
self-supervised learning
(5)
vision-language model
(3)
image classification
(3)
few-shot learning
(3)
domain adaptation
(3)
autonomous driving
(3)
domain generalization
(2)
unsupervised learning
(2)
3d semantic segmentation
(2)
zero-shot learning
(2)
out-of-distribution detection
(2)
knowledge distillation
(2)
contrastive learning
(2)
lidar point cloud
(2)
feature learning
(2)
transfer learning
(1)
probabilistic modeling
(1)
image generation
(1)
Papers
CLIP's Visual Embedding Projector is a Few-shot Cornucopia
WACV 2026
DIP: Unsupervised Dense In-Context Post-training of Visual Representations
ICCV 2025
FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation
ICCV 2025
CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation
ECCV 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
NIPS 2024
Three Pillars Improving Vision Foundation Model Distillation for Lidar
CVPR 2024
A Simple Recipe for Language-guided Domain Generalized Segmentation
CVPR 2024
Learning To Generate Training Datasets for Robust Semantic Segmentation
WACV 2024
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
NIPS 2023
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
CVPR 2023
PODA: Prompt-driven Zero-shot Domain Adaptation
ICCV 2023
Packed Ensembles for efficient uncertainty estimation
ICLR 2023
Latent Discriminant Deterministic Uncertainty
ECCV 2022
LaRa: Latents and Rays for Multi-Camera Bird’s-Eye-View Semantic Segmentation
CORL 2022
Active Learning Strategies for Weakly-Supervised Object Detection
ECCV 2022
What to Hide from Your Students: Attention-Guided Masked Image Modeling
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
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks
AAAI 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
PLOP: Probabilistic Polynomial Objects trajectory Prediction for autonomous driving
CORL 2020
Learning Representations by Predicting Bags of Visual Words
CVPR 2020
TRADI: Tracking Deep Neural network Weight Distributions
ECCV 2020
Dense Classification and Implanting for Few-Shot Learning
CVPR 2019
Boosting Few-Shot Visual Learning With Self-Supervision
ICCV 2019