Timo Ropinski
15 papers · 2019–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (30)
π€
Dynamic Duo
(14)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(83)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Computer Vision
(12)
Analysis
(11)
Deep Learning
(7)
Machine Learning
(7)
Learning Types Β· Machine Learning
(7)
Processing
(7)
Artificial Intelligence
(5)
Architectures
(4)
Core AI Β· Artificial Intelligence
(4)
Learning Types Β· Deep Learning
(3)
Knowledge & Reasoning
(2)
Domain-Specific
(2)
Representation
(2)
Core AI Β· Computer Vision
(1)
Core Methods
(1)
Keywords
point cloud
(4)
unsupervised learning
(4)
self-supervised learning
(3)
3d vision
(3)
object detection
(3)
semantic segmentation
(2)
depth estimation
(2)
representation learning
(2)
3d scene graph
(2)
3d point cloud
(2)
vision-language model
(2)
feature learning
(2)
weakly supervised learning
(2)
electron microscopy
(2)
scene understanding
(1)
noise suppression
(1)
zero-shot learning
(1)
feature extraction
(1)
image reconstruction
(1)
image restoration
(1)
Papers
Attention-Guided Masked Autoencoders for Learning Image Representations
WACV 2025
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
ICCV 2025
RelationField: Relate Anything in Radiance Fields
CVPR 2025
Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images
MICCAI 2025
Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships
CVPR 2024
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction
WACV 2024
Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
CVPR 2024
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
ICLR 2024
Weakly-Supervised Optical Flow Estimation for Time-of-Flight
WACV 2023
Clean Implicit 3D Structure From Noisy 2D STEM Images
CVPR 2022
Gaussian Mixture Convolution Networks
ICLR 2022
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising
CVPR 2022
Variance-Aware Weight Initialization for Point Convolutional Neural Networks
ECCV 2022
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
ICLR 2021
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
ICCV 2019