Timo Ropinski
15 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
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ICLR (3)
WACV (3)
ICCV (2)
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Top co-authors
Keywords
point cloud
(4)
unsupervised learning
(4)
self-supervised learning
(3)
semantic segmentation
(2)
object detection
(2)
representation learning
(2)
feature learning
(2)
3d scene graph
(2)
depth estimation
(2)
3d vision
(2)
3d point cloud
(2)
weakly supervised learning
(1)
vision transformer
(1)
scene understanding
(1)
noise suppression
(1)
zero-shot learning
(1)
scene reconstruction
(1)
image reconstruction
(1)
scene graph generation
(1)
image restoration
(1)
Papers
Attention-Guided Masked Autoencoders for Learning Image Representations
WACV 2025
RelationField: Relate Anything in Radiance Fields
CVPR 2025
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
ICCV 2025
Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images
MICCAI 2025
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
ICLR 2024
Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
CVPR 2024
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
Weakly-Supervised Optical Flow Estimation for Time-of-Flight
WACV 2023
Gaussian Mixture Convolution Networks
ICLR 2022
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising
CVPR 2022
Clean Implicit 3D Structure From Noisy 2D STEM Images
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