Anton Obukhov
15 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29)
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Topic Evolution
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Century Club · Bronze
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Unstoppable · Bronze
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Research topics
Deep Learning
(11)
Computer Vision
(10)
Machine Learning
(9)
Analysis
(8)
Models
(6)
Learning Types · Machine Learning
(5)
Architectures
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Optimization & Theory · Machine Learning
(3)
Optimization & Theory · Deep Learning
(3)
Core AI
(2)
Generation
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Keywords
3d reconstruction
(4)
depth estimation
(3)
diffusion model
(3)
semantic segmentation
(3)
monocular depth estimation
(3)
multi-task learning
(2)
neural network compression
(2)
generative model
(2)
tensor train decomposition
(2)
latent diffusion model
(2)
unsupervised learning
(2)
zero-shot generalization
(2)
tensor decomposition
(2)
novel view synthesis
(2)
point cloud
(1)
cross-domain learning
(1)
attention mechanism
(1)
model calibration
(1)
instance segmentation
(1)
image restoration
(1)
Papers
Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion
ICCV 2025
Video Depth without Video Models
CVPR 2025
BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation
NeurIPS 2024
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
ECCV 2024
Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds
CVPR 2024
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
CVPR 2024
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models
ICCV 2023
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation
ICCV 2023
Pix2NeRF: Unsupervised Conditional p-GAN for Single Image to Neural Radiance Fields Translation
CVPR 2022
Towards Practical Control of Singular Values of Convolutional Layers
NeurIPS 2022
Exploring Relational Context for Multi-Task Dense Prediction
ICCV 2021
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation
CVPR 2021
Spectral Tensor Train Parameterization of Deep Learning Layers
AISTATS 2021
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
ECCV 2020
T-Basis: a Compact Representation for Neural Networks
ICML 2020