MOOC
Introduction to Object-Oriented Programming in C++
Related publications (428)
Aggregating Spatial and Photometric Context for Photometric Stereo
Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...
EPFL2024Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation
Deep learning has revolutionized the field of computer vision, a success largely attributable to the growing size of models, datasets, and computational power.Simultaneously, a critical pain point arises as several computer vision applications are deployed ...
EPFL2024Advancing Self-Supervised Deep Learning for 3D Scene Understanding
Recent advancements in deep learning have revolutionized 3D computer vision, enabling the extraction of intricate 3D information from 2D images and video sequences. This thesis explores the application of deep learning in three crucial challenges of 3D com ...
EPFL2024Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance
Devis Tuia, Valérie Zermatten, Javiera Francisca Castillo Navarro, Xiaolong Lu
Deep learning has emerged as a promising avenue for automatic mapping, demonstrating high efficacy in land cover categorization through various semantic segmentation models. Nonetheless, the practical deployment of these models encounters important challen ...
Ieee-Inst Electrical Electronics Engineers Inc2024Enabling Uncertainty Estimation in Iterative Neural Networks
Pascal Fua, Nikita Durasov, Doruk Oner, Minh Hieu Lê
Turning pass-through network architectures into iterative ones, which use their own output as input, is a well-known approach for boosting performance. In this paper, we argue that such architectures offer an additional benefit: The convergence rate of the ...
2024Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World
In this work, we tackle the task of estimating the 6D pose of an object from point cloud data. While recent learning-based approaches have shown remarkable success on synthetic datasets, we have observed them to fail in the presence of real-world data. We ...
Ieee Computer Soc2024Coronal jets identification using Deep Learning as Image and Video Object Detection
This report presents a study on the development and application of a Region-based Convolutional Neural Network, Faster RCNN and a more complex one, TransVOD, to locate solar coronal jets using data from the Solar Dynamic Observatory (SDO). The study focus ...
2024Things that Talk: On a new perspective for engaging with scientific instruments
Jérôme Baudry, Ion-Gabriel Mihailescu
Our contribution will propose a new approach for engaging with scientific instruments inspired by a recent exhibition which we have designed and organized. Inverting the current trope of presenting history through many objects, the exhibition weaved togeth ...
2023Text as a Richer Source of Supervision in Semantic Segmentation Tasks
Devis Tuia, Valérie Zermatten, Javiera Francisca Castillo Navarro, Lloyd Haydn Hughes
This paper introduces TACOSS a text-image alignment approach that allows explainable land cover semantic segmentation by directly integrating semantic concepts encoded from texts. TACOSS combines convolutional neural networks for visual feature extraction ...
The Institute of Electrical and Electronics Engineers, Inc2023Electroadhesive gripping system and method for gripping an object
Herbert Shea, Vito Cacucciolo, Krishna Manaswi Digumarti
An electroadhesive gripping system and a method for gripping and manipulating an object are disclosed. The invention provides a novel approach particularly useful to pick fabrics or otherwise flat and flexible objects including a method relying on electroa ...
2023