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    Synthetic data (Part 1) for "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields"

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    Here we provide the data of our article "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields". It contains the preprocessed SDF samples. Meanwhile, we also include rendered data for HO3Dv2 here.  The overall structure of the data is: ├── render_sdf_ho3d.zip                              - Contains the processed SDF files for HO3Dv2 rendered images. ├── train_ho3d.zip                                       - Contains the processed SDF files for HO3Dv2 training set. ├── full_test_dexycb.zip                               - Contains the processed SDF files for DexYCB full test set. The code to reproduce the results is available at: https://github.com/amathislab/HOISDF -------------------------------- If you find our code, weights, predictions or ideas useful, please cite: @inproceedings{qi2024hoisdf,  title={HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields},  author={Qi, Haozhe and Zhao, Chen and Salzmann, Mathieu and Mathis, Alexander},  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},  pages={10392--10402},  year={2024}}UPAMATHISLCAVSDSC-G

    Monolithic and Flexible Polyimide Film Microreactors for Organic Microchemical Applications Fabricated by Laser Ablation

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    Keeping limber: A monolithic and flexible polyimide film microreactor is introduced for organic reactions and syntheses. Unlike glass microreactors, it is easy to fabricate, yet it is inert to solvents and acids under harsh conditions, unlike other polymer microreactors.LEP

    Spatio-Temporal Dynamics of Komorebi Light Patterns

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    Komorebi, the dappled sunlight filtering through trees, offers restorative benefits in outdoor and indoor environments. While studies have examined its presence, movement, and changes in illuminance, a comprehensive understanding of its dynamic properties remains largely unexplored. This study develops a framework to quantify the spatial and temporal characteristics of Komorebi patterns. The methodology involves collecting Komorebi scenes, extracting their temporal and spatial features, and creating a multidimensional representation to capture these features effectively. The spatial feature analysis focuses on light pattern dispersion, intensity correlations, and spectral analysis of two-dimensional patterns; the temporal analysis, on the other hand, examines movement, directional changes, and brightness fluctuations. This study introduces a novel approach for categorizing and representing different typologies of Komorebi, and establishes a basis for examining people's responses to Komorebi patterns.LIPI

    "Crash Custine", ou la traversée d'un îlot Parisien

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    Les stations-essence parisiennes sont des portes. Leur langage pénètre le terreau architectural parisien, lequel fait alors émerger des variations morphologiques urbaines. L'une de ces stations, insérée au rez-de-chaussée du 48 bis rue Custine dans le 18e arrondissement, est vouée à une mort certaine, incessamment réincarnée en supermarché. En s'aventurant dans les entrailles de cet échantillon, on découvre qu'il est physiquement greffé à un parking couvert déployé sur sept étages. Ce bâtiment, héritier d’un même vocabulaire, évolue dans toute la profondeur de son îlot et expose ses extrémités aux rues qui le bordent. “Crash Custine” considère que ce dispositif typologique et programmatique offre la possibilité d'une traversée au sein de l'îlot parisien. A plus large échelle, la percée Sud-Nord, Nord-Sud de “Custine Automobile” s'inscrit comme une séquence urbaine dans une longue promenade reliant le Sacré-Coeur à Jules Joffrin. L'existant est dès lors découpé, démoli, recomposé, reconstruit, et ses qualités scénographiques s'éveillent, rythmées par de nouveaux espaces de transitions dessinés dans l'horizontalité et la verticalité, jusqu'à s'inviter dans les cours intérieures voisines. La voiture continue de vivre grâce à la conservation partielle du parking magnifié autour duquel croissent et gravitent de nouvelles appropriations, qu’elles soient intimes ou solennelles, des explorateurs nouveaux. “Crash Custine” est un passage atmosphérique où les odeurs, les textures sonores, les regards, l'organique et le mécanique s'entrechoquent et/ou s'apostrophent.ALICEEAST-COSAR-DCote: 2019.024Archive: MEM.1/1 A4 vertical, archive_informatique_DDGroupe de suivi: Dietz, Dieter (dir. pédagogique) ; Fröhlich, Martin (prof.) ; Dupuis, Aurélie (maître EPFL) ; Verschuere, Adrien (expert)Professeur responsable de l'Enoncé: Fröhlich, Martin (ENAC IA EAST-CO)Enoncé théorique de master: Diégèse de la station-essence parisienne

    Edge-Cloud Collaborated Object Detection via Bandwidth Adaptive Difficult-Case Discriminator

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    Object detection, a fundamental task in computer vision, is crucial for various intelligent edge computing applications. However, object detection algorithms are usually heavy in computation, hindering their deployments on resource-constrained edge devices. Traditional edge-cloud collaboration schemes, like deep neural network (DNN) partitioning across edge and cloud, are unfit for object detection due to the significant communication costs incurred by the large size of intermediate results. To this end, we propose a Difficult-Case based Small-Big model (DCSB) framework. It employs a difficult-case discriminator on the edge device to control data transfer between the small model on the edge and the large model in the cloud. We also adopt regional sampling to further reduce the bandwidth consumption and create a discriminator zoo to accommodate the varying networking conditions. Additionally, we extend DCSB to video tasks by developing an adaptive sampling rate update algorithm, aiming to minimize computational demands without sacrificing detection accuracy. Extensive experiments show that DCSB can detect 97.26%-97.96% objects while saving 74.37%-82.23% network bandwidth, compared to cloud-only methods. Furthermore, DCSB significantly outperforms the latest DNN partitioning methods, reducing inference time by 92.60%-95.10% given an 8Mbps transmission bandwidth. In video tasks, DCSB matches the detection accuracy of leading video analysis methods while cutting the computational overhead by 40%.EPF

    Réutilisation des constructions en béton

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    Ce projet se rapporte au cas d’étude du site du « Strandboden » à Bienne et plus particulièrement au « Pont de Neptune » qui permet la traversée du port de Neptune. Le « Pont de Neptune » est un pont arc en béton armé construit entre 1928 et 1929 qui permet le passage de piétons et cyclistes. Il a une portée de 15.35 m et une largeur de 2.30 m. L’épaisseur de l’arc varie entre 12 cm à mi-travée et 70 cm sur appui. Ces épaisseurs prennent en considération une épaisseur de revêtement en mortier de 2 cm. La flèche de l’arc est d’environ 1.40 m. L’ouvrage se situe dans un environnement humide et les dégâts de carbonatation du béton et de corrosion des armatures y sont favorisés.SGCMC

    Towards a Foundation Model for Peer-to-Peer Web Information

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    We find that there lacks a formal algebraic framework in the research area of P2P information retrieval. Such a formal framework is indispensable and pivotal. On the one hand, no solid theoretical foundation can explain why the results of many ad-hoc commercial ranking algorithms are good or bad; on the other hand, in some cases, it might be preferable in a decentralized search system to use different retrieval models and different ranking algorithms at the same time since each separate document collection and each peer might have different characteristics. Thus it is important to have a common framework, where we can capture the individual models and describe the overall behavior. Such a framework characterizes notions like ranking, relevance feedback, rank aggregation and combination, etc. and necessary operations. In this paper, we define such a foundation model for P2P information retrieval, where data models for rankings from the perspectives of both the end user's search needs and the search member server's contextual rankings are provided, and a new ranking aggregation language is proposed to perform ranking combination operations. A case study is included to demonstrate how the foundation model and the ranking aggregation language could be applied in real ranking problems of P2P Web search systems.LSI

    QoS-based Service Selection and Ranking with Trust and Reputation Management

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    QoS-based service selection mechanisms will play an essential role in service-oriented architectures, as e-Business applications want to use services that most accurately meet their requirements. Standard approaches in this field typically are based on the prediction of services' performance from the quality advertised by providers as well as from feedbacks of users on the actual levels of QoS delivered to them. The key issue in this setting is to detect and deal with false ratings by dishonest providers and users, which has only received limited attention so far. In this paper, we present a new QoS-based semantic web service selection and ranking approach with the application of a trust and reputation management method to address this problem. We will give a formal description of our approach and validate it with experiments which demonstrate that our solution yields high-quality results under various realistic cheating behaviors.LSI

    Inhibition of alpha-synuclein fibrillization by dopamine is mediated by interactions with five C-terminal residues and with E83 in the NAC region

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    The interplay between dopamine and alpha-synuclein (AS) plays a central role in Parkinson's disease (PD). PD results primarily from a severe and selective devastation of dopaminergic neurons in substantia nigra pars compacta. The neuropathological hallmark of the disease is the presence of intraneuronal proteinaceous inclusions known as Lewy bodies within the surviving neurons, enriched in filamentous AS. In vitro, dopamine inhibits AS fibril formation, but the molecular determinants of this inhibition remain obscure. Here we use molecular dynamic (MD) simulations to investigate the binding of dopamine and several of its derivatives onto conformers representative of an NMR ensemble of AS structures in aqueous solution. Within the limitations inherent to MD simulations of unstructured proteins, our calculations suggest that the ligands bind to the (125)YEMPS(129) region, consistent with experimental findings. The ligands are further stabilized by long-range electrostatic interactions with glutamate 83 (E83) in the NAC region. These results suggest that by forming these interactions with AS, dopamine may affect AS aggregation and fibrillization properties. To test this hypothesis, we investigated in vitro the effects of dopamine on the aggregation of mutants designed to alter or abolish these interactions. We found that point mutations in the (125)YEMPS(129) region do not affect AS aggregation, which is consistent with the fact that dopamine interacts non-specifically with this region. In contrast, and consistent with our modeling studies, the replacement of glutamate by alanine at position 83 (E83A) abolishes the ability of dopamine to inhibit AS fibrillization.LMN

    Imaging, Vision, and Pattern Recognition

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    MEDIACDHDHLA

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