Concept
Computer stereo vision
Related publications (298)
Two-level Data Augmentation for Calibrated Multi-view Detection
Pascal Fua, Martin Pierre Engilberge, Zhiye Wang, Haixin Shi
Data augmentation has proven its usefulness to improve model generalization and performance. While it is commonly applied in computer vision application when it comes to multi-view systems, it is rarely used. Indeed geometric data augmentation can break th ...
2023Seeing Photons in Color
Edoardo Charbon, Claudio Bruschini, Paul Mos, Mohit Gupta
Megapixel single-photon avalanche diode (SPAD) arrays have been developed recently, opening up the possibility of deploying SPADs as general-purpose passive cameras for photography and computer vision. However, most previous work on SPADs has been limited ...
ASSOC COMPUTING MACHINERY2023Automated Human Motion Analysis and Synthesis
Human motion analysis and synthesis is integral to many computer vision applications, from autonomous driving to sports analysis. In this thesis, we address several problems in this domain. First we consider active viewpoint selection for pose estimation w ...
EPFL20234M: Massively Multimodal Masked Modeling
Shuqing Teresa Yeo, Amir Roshan Zamir, Oguzhan Fatih Kar, Roman Christian Bachmann, David Mizrahi
Current machine learning models for vision are often highly specialized and limited to a single modality and task. In contrast, recent large language models exhibit a wide range of capabilities, hinting at a possibility for similarly versatile models in co ...
Neural Information Processing Systems (Nips)2023Social life of campus public spaces: Experimental study on the role of temporary interventions in fostering social activity
Ankita Singhvi, Kazuki Sakamoto
Our experimental study built on a tradition of quantitative urbanism, updating it to reflect recent developments in computer vision. We used cameras to track an area of Avenue Piccard in its current state, then intervened with temporary furniture such as o ...
2023Automated image-based generation of finite element models for masonry buildings
Katrin Beyer, Radhakrishna Achanta, Bryan German Pantoja Rosero
To predict the response of masonry buildings to various types of loads, engineers use finite element models, specifically solid-element and macro-element models. For predicting masonry responses to seismic events in particular, equivalent frame models-a su ...
SPRINGER2023Toward contactless human thermal monitoring: A framework for Machine Learning-based human thermo-physiology modeling augmented with computer vision
Alexandre Massoud Alahi, Dolaana Khovalyg, Mohamed Ossama Ahmed Abdelfattah, Mohamad Rida
The transition towards a human-centered indoor climate is beneficial from occupants’ thermal comfort and from an energy reduction perspective. However, achieving this goal requires the knowledge of the thermal state of individuals at the level of body part ...
2023Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation
Pascal Frossard, Seungryong Kim
Stereo confidence estimation aims to estimate the reliability of the estimated disparity by stereo matching. Different from the previous methods that exploit the limited input modality, we present a novel method that estimates confidence map of an initial ...
IEEE COMPUTER SOC2023Burst Vision Using Single-Photon Cameras
Edoardo Charbon, Paul Mos, Mohit Gupta
Single-photon avalanche diodes (SPADs) are novel image sensors that record the arrival of individual photons at extremely high temporal resolution. In the past, they were only available as single pixels or small-format arrays, for various active imaging ap ...
IEEE COMPUTER SOC2023Deep Generative Models for Autonomous Driving: from Motion Forecasting to Realistic Image Synthesis
Forecasting is a capability inherent in humans when navigating. Humans routinely plan their paths, considering the potential future movements of those around them. Similarly, to achieve comparable sophistication and safety, autonomous systems must embrace ...
EPFL2023