Pose Estimation for Category Specific Multiview Object Localization

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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 ...

Light and sound waves can move objects through the transfer of linear or angular momentum, which has led to the development of optical and acoustic tweezers, with applications ranging from biomedical engineering to quantum optics. Although impressive manip ...

We propose a test -time adaptation for 6D object pose tracking that learns to adapt a pre -trained model to track the 6D pose of novel objects. We consider the problem of 6D object pose tracking as a 3D keypoint detection and matching task and present a mo ...

Accurate human trajectory prediction is crucial for applications such as autonomous vehicles, robotics, and surveillance systems. Yet, existing models often fail to fully leverage the non-verbal social cues human subconsciously communicate when navigating ...

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 ...

Most recent 6D object pose estimation methods first use object detection to obtain 2D bounding boxes before actually regressing the pose. However, the general object detection methods they use are ill-suited to handle cluttered scenes, thus producing poor ...

The study of non-contact manipulation in water, and the ability to robotically control floating objects has gained recent attention due to wide-ranging potential applications, including the analysis of plastic pollution in the oceans and the optimization o ...

Multicellular organisms require very well organized and finely balanced cell-cell communication, adhesion and coordination to ensure the organisms homeostasis. These functions rely on specialized receptors placed at the cells membrane whose binding to thei ...

The properties of signal strength and integrated intensity in a scanned imaging system are reviewed. These prop-erties are especially applied to confocal imaging systems, including image scanning microscopy. The integrated intensity, equal to the image of ...

Reading out neuronal activity from three-dimensional (3D) functional imaging requires segmenting and tracking individual neurons. This is challenging in behaving animals if the brain moves and deforms. The traditional approach is to train a convolutional n ...

Visual working memory (VWM) is prone to interference from stored items competing for its limited capacity. Distinctiveness or similarity of the items is acknowledged to affect this competition, such that poor item distinctiveness causes a failure to discri ...

This chapter looks at the intertwined evolution of two different ideas throughout the past century: that of ‘territory’, that has been reshaped and redefined in the field of architecture and urbanism, and that of ‘digital’, that while becoming dominant, ha ...

This thesis assesses the surveillance operated on the mobile phone network by governmental actors (intelligence agencies, police, army) and the relationship between monitored spaces and their users. Indeed, some new surveillance devices used by intelligenc ...

Representing and reconstructing 3D deformable shapes are two tightly linked problems that have long been studied within the computer vision field. Deformable shapes are truly ubiquitous in the real world, whether be it specific object classes such as human ...

Human-robot collaboration requires the contactless estimation of the physical properties of containers manipulated by a person, for example while pouring content in a cup or moving a food box. Acoustic and visual signals can be used to estimate the physica ...

Humans have an incredible sense of self-preservation that is both instilled, and also learned through experience. One system which contributes to this is the pain and reflex system which both minimizes damage through involuntary reflex ac- tions and also s ...

Millimeter wave (mmWave) radars are becoming a more popular sensing modality in self-driving cars due to their favorable characteristics in adverse weather. Yet, they currently lack sufficient spatial resolution for semantic scene understanding. In this pa ...

In this article, I discuss the process of designing an object to protest against a specific surveillance device: the IMSI catcher, a controversial object used to monitor GSM networks. Being widely used in protests, I develop a tactical approach based on ob ...

Information about a moving object is usually poor at each retinotopic location because photoreceptor activation is short, noisy, and affected by shadows, reflections of other objects, and so on. Integration across the motion trajectory may yield a much bet ...

Recent successes in the reuse and rehabilitation of 20th century architecture have shown that design begins with the study of history. Study of the material history of built structures, together with historical and critical investigation, supported by diag ...

Pose Estimation for Category Specific Multiview Object Localization

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Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World

Wave-momentum shaping for moving objects in heterogeneous and dynamic media

Test-time adaptation for 6D pose tracking

Social-Transmotion: Promptable Human Trajectory Prediction

Electroadhesive gripping system and method for gripping an object

Rigidity-Aware Detection for 6D Object Pose Estimation

Non-contact robotic manipulation of floating objects: exploiting emergent limit cycles

Combination of dielectrophoretic and hydrodynamic traps for the controlled contact between cells or beads and application to adhesion assays

Signal strength and integrated intensity in confocal and image scanning microscopy

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

Effects of item distinctiveness on the retrieval of objects and object-location bindings from visual working memory

Between digital and territorial turns: A forking path

Opacité et transparence dans le design d'un dispositif de surveillance urbain : le cas de l'IMSI catcher

Learning to Represent and Reconstruct 3D Deformable Objects

Audio-Visual Object Classification For Human-Robot Collaboration

Bio-inspired Reflex System for Learning Visual Information for Resilient Robotic Manipulation

Radatron: Accurate Detection Using Multi-resolution Cascaded MIMO Radar

Catch Me If You Can Designing a Disobedient Object to Protest Against GSM Surveillance

Features integrate along a motion trajectory when object integrity is preserved

Concerning the research “Material history of the built environment and the conservation project” (2008–2020), methodology and results