Anton Obukhov
15 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🏃 Academic Marathon (5)
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Academic Marathon
(5)
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Hot Topic Early Bird
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Cross-Pollinator
(7)
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Topic Evolution
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Keyword Collector
(67)
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Century Club
(15)
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(6)
Conferences
CVPR (5)
ICCV (4)
ECCV (2)
NIPS (2)
AISTATS (1)
ICML (1)
Top co-authors
Keywords
3d reconstruction
(4)
depth estimation
(3)
semantic segmentation
(3)
diffusion model
(3)
monocular depth estimation
(3)
multi-task learning
(2)
neural network compression
(2)
latent diffusion model
(2)
zero-shot generalization
(2)
unsupervised learning
(2)
tensor decomposition
(2)
novel view synthesis
(2)
generative model
(2)
point cloud
(1)
cross-domain learning
(1)
attention mechanism
(1)
model calibration
(1)
instance segmentation
(1)
image restoration
(1)
unsupervised domain adaptation
(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
NIPS 2024
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
ECCV 2024
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
CVPR 2024
Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds
CVPR 2024
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation
ICCV 2023
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models
ICCV 2023
Towards Practical Control of Singular Values of Convolutional Layers
NIPS 2022
Pix2NeRF: Unsupervised Conditional p-GAN for Single Image to Neural Radiance Fields Translation
CVPR 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