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In this work, we propose a new segmentation algorithm for images containing convex objects present in multiple shapes with a high degree of overlap. The proposed algorithm is carried out in two steps, first we identify the visible contours,…

Computer Vision and Pattern Recognition · Computer Science 2017-11-08 Kumar Abhinav , Jaideep Singh Chauhan , Debasis Sarkar

Artwork recommendation is challenging because it requires understanding how users interact with highly subjective content, the complexity of the concepts embedded within the artwork, and the emotional and cognitive reflections they may…

Information Retrieval · Computer Science 2023-03-21 Bereket A. Yilma , Luis A. Leiva

Images can be viewed as layered compositions, foreground objects over background, with potential occlusions. This layered representation enables independent editing of elements, offering greater flexibility for content creation. Despite the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Jingxi Chen , Yixiao Zhang , Xiaoye Qian , Zongxia Li , Cornelia Fermuller , Caren Chen , Yiannis Aloimonos

Advancing robotic manipulation of deformable objects can enable automation of repetitive tasks across multiple industries, from food processing to textiles and healthcare. Yet robots struggle with the high dimensionality of deformable…

Robotics · Computer Science 2024-09-26 Jan Obrist , Miguel Zamora , Hehui Zheng , Juan Zarate , Robert K. Katzschmann , Stelian Coros

If a collection of identical particles is poured into a container, different shapes will fill to different densities. But what is the shape that fills a container as close as possible to a pre-specified, desired density? We demonstrate a…

Soft Condensed Matter · Physics 2014-03-18 Marc Z. Miskin , Heinrich M. Jaeger

Robotic grasping of 3D deformable objects (e.g., fruits/vegetables, internal organs, bottles/boxes) is critical for real-world applications such as food processing, robotic surgery, and household automation. However, developing grasp…

The rapid progress in machine learning methods has been empowered by i) huge datasets that have been collected and annotated, ii) improved engineering (e.g. data pre-processing/normalization). The existing datasets typically include several…

Computer Vision and Pattern Recognition · Computer Science 2018-01-23 Grigorios G. Chrysos , Yannis Panagakis , Stefanos Zafeiriou

Point patterns are characterized by their density and correlation. While spatial variation of density is well-understood, analysis and synthesis of spatially-varying correlation is an open challenge. No tools are available to intuitively…

Graphics · Computer Science 2023-09-06 Xingchang Huang , Tobias Ritschel , Hans-Peter Seidel , Pooran Memari , Gurprit Singh

A first step toward a multi-scale and multi-physic model --a virtual material-- for self-healing ceramic matrix composites is presented. Each mechanism --mechanical, chemical-- that act on the material's lifetime at a given scale --fibre,…

Materials Science · Physics 2016-02-22 Martin Genet , Pierre Ladeveze , Gilles Lubineau

One technique for creating semiconductor crystals with new, desired properties involves replacing some atoms in the crystal lattice with additives - atoms of a different type. This substitution not only alters the bulk properties of the…

Materials Science · Physics 2025-06-12 M. A. Chabowska , M. A. Załuska-Kotur

In this study, a method to construct a full-colour volumetric display is presented using a commercially available inkjet printer. Photoreactive luminescence materials are minutely and automatically printed as the volume elements, and…

Many objects in nature and industry are wrapped in a thin sheet to enhance their chemical, mechanical, or optical properties. There are similarly a variety of methods for wrapping, from pressing a film onto a hard substrate, to using…

Soft Condensed Matter · Physics 2019-04-30 Joseph D. Paulsen

This work aims to estimate 6Dof (6D) object pose in background clutter. Considering the strong occlusion and background noise, we propose to utilize the spatial structure for better tackling this challenging task. Observing that the 3D mesh…

Computer Vision and Pattern Recognition · Computer Science 2022-06-07 Jianhan Mei , Xudong Jiang , Henghui Ding

Particle dampers represent a simple yet effective means to reduce unwanted oscillations when attached to structural components. Powder bed fusion additive manufacturing of metals allows to integrate particle inclusions of arbitrary shape,…

Computational Engineering, Finance, and Science · Computer Science 2023-02-17 Patrick M. Praegla , Thomas Mair , Andreas Wimmer , Sebastian L. Fuchs , Niklas Fehn , Michael F. Zaeh , Wolfgang A. Wall , Christoph Meier

We introduce a method for modeling a configuration of objects in 2D or 3D images using a mathematical "skeletal linking structure" which will simultaneously capture the individual shape features of the objects and their positional…

Computer Vision and Pattern Recognition · Computer Science 2017-06-15 James Damon , Ellen Gasparovic

We investigate {\em multidimensional covering mechanism-design} problems, wherein there are $m$ items that need to be covered and $n$ agents who provide covering objects, with each agent $i$ having a private cost for the covering objects he…

Computer Science and Game Theory · Computer Science 2013-09-11 Hadi Minooei , Chaitanya Swamy

Recent advancements in large generative models, particularly diffusion-based methods, have significantly enhanced the capabilities of image editing. However, achieving precise control over image composition tasks remains a challenge.…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Jinrui Yang , Qing Liu , Yijun Li , Soo Ye Kim , Daniil Pakhomov , Mengwei Ren , Jianming Zhang , Zhe Lin , Cihang Xie , Yuyin Zhou

The goal of this paper is to take a single 2D image of a scene and recover the 3D structure in terms of a small set of factors: a layout representing the enclosing surfaces as well as a set of objects represented in terms of shape and pose.…

Computer Vision and Pattern Recognition · Computer Science 2018-04-25 Shubham Tulsiani , Saurabh Gupta , David Fouhey , Alexei A. Efros , Jitendra Malik

User's perception of product, by essence subjective, is a major topic in marketing and industrial design. Many methods, based on users' tests, are used so as to characterise this perception. We are interested in three main methods:…

Human-Computer Interaction · Computer Science 2007-05-23 Jean-François Petiot , Damien Chablat

Detecting objects becomes difficult when we need to deal with large shape deformation, occlusion and low resolution. We propose a novel approach to i) handle large deformations and partial occlusions in animals (as examples of highly…

Computer Vision and Pattern Recognition · Computer Science 2014-06-10 Xianjie Chen , Roozbeh Mottaghi , Xiaobai Liu , Sanja Fidler , Raquel Urtasun , Alan Yuille