Denis Gudovskiy
10 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(7)
Deep Learning
(6)
Artificial Intelligence
(5)
Learning Types Β· Machine Learning
(5)
Core AI
(4)
Computer Vision
(3)
Application Areas
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Analysis
(2)
Architectures
(2)
Core Methods
(2)
Optimization & Theory
(2)
Applications
(1)
Bayesian & Probabilistic
(1)
Keywords
normalizing flow
(3)
self-supervised learning
(2)
distribution shift
(2)
anomaly detection
(2)
generative model
(2)
semi-supervised learning
(1)
semantic segmentation
(1)
transformer architecture
(1)
domain adaptation
(1)
probabilistic modeling
(1)
image restoration
(1)
contrastive learning
(1)
density estimation
(1)
fisher kernel
(1)
visual question answering
(1)
image generation
(1)
uncertainty quantification
(1)
hyperparameter optimization
(1)
data augmentation
(1)
multi-task learning
(1)
Papers
ODEt(ODEl): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling
WACV 2026
Proxy3D: Efficient 3D Representations for Vision-Language Models via Semantic Clustering and Alignment
CVPR 2026
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding
UAI 2024
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation
AAAI 2024
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow
UAI 2023
CFLOW-AD: Real-Time Unsupervised Anomaly Detection With Localization via Conditional Normalizing Flows
WACV 2022
MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer
ECCV 2022
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation
CVPR 2021
Contrastive Neural Processes for Self-Supervised Learning
ACML 2021
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision
CVPR 2020