Pedro Hermosilla
16 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
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Dynamic Duo
(14)
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Computer Vision
(13)
Analysis
(12)
Deep Learning
(9)
Machine Learning
(9)
Learning Types Β· Machine Learning
(8)
Processing
(7)
Artificial Intelligence
(6)
Architectures
(5)
Core AI
(4)
Learning Types Β· Deep Learning
(4)
Core Methods
(3)
Knowledge & Reasoning
(2)
Domain-Specific
(2)
Learning Paradigms
(2)
Representation
(2)
Keywords
point cloud
(4)
self-supervised learning
(4)
unsupervised learning
(4)
3d vision
(3)
object detection
(3)
semantic segmentation
(2)
depth estimation
(2)
representation learning
(2)
3d point cloud
(2)
vision-language model
(2)
3d scene graph
(2)
feature learning
(2)
weakly supervised learning
(2)
electron microscopy
(2)
embedding learning
(1)
scene understanding
(1)
noise suppression
(1)
zero-shot learning
(1)
feature extraction
(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
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
CVPR 2025
RelationField: Relate Anything in Radiance Fields
CVPR 2025
FATE: Feature-Agnostic Transformer-Based Encoder for Learning Generalized Embedding Spaces in Flow Cytometry Data
WACV 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
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