Nikita Araslanov
13 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Research topics
Computer Vision
(11)
Deep Learning
(10)
Machine Learning
(9)
Learning Types · Deep Learning
(9)
Analysis
(8)
Learning Types · Machine Learning
(6)
Processing
(6)
Artificial Intelligence
(2)
Application Areas
(2)
Core AI
(2)
Core Methods
(2)
Optimization & Theory
(2)
Reinforcement Learning
(1)
Robotics
(1)
Capabilities
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Keywords
semantic segmentation
(5)
unsupervised learning
(3)
video object segmentation
(2)
self-supervised learning
(2)
instance segmentation
(2)
pose estimation
(1)
domain adaptation
(1)
3d reconstruction
(1)
object detection
(1)
hierarchical classification
(1)
event camera
(1)
scene understanding
(1)
weakly supervised learning
(1)
in-context learning
(1)
depth estimation
(1)
vision-language alignment
(1)
surface normal estimation
(1)
pseudo labeling
(1)
embedding space
(1)
reinforcement learning
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Papers
Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners
CVPR 2026
Scene-Centric Unsupervised Video Panoptic Segmentation
CVPR 2026
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
ICCV 2025
It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data
CVPR 2025
Scene-Centric Unsupervised Panoptic Segmentation
CVPR 2025
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
ICLR 2024
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting
ECCV 2024
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincare Ball
CVPR 2024
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
WACV 2024
Dense Unsupervised Learning for Video Segmentation
NeurIPS 2021
Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation
CVPR 2021
Single-Stage Semantic Segmentation From Image Labels
CVPR 2020
Actor-Critic Instance Segmentation
CVPR 2019