Object model
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Learning to Segment Object Candidates Open
Recent object detection systems rely on two critical steps: (1) a set of object proposals is predicted as efficiently as possible, and (2) this set of candidate proposals is then passed to an object classifier. Such approaches have been sh…
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Extended Object Tracking: Introduction, Overview and Applications Open
This article provides an elaborate overview of current research in extended object tracking. We provide a clear definition of the extended object tracking problem and discuss its delimitation to other types of object tracking. Next, differ…
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Learning to Segment Object Candidates Open
Recent object detection systems rely on two critical steps: (1) a set of object proposals is predicted as efficiently as possible, and (2) this set of candidate proposals is then passed to an object classifier. Such approaches have been sh…
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TOODM: A temporal object-oriented data model with temporal constraints Open
A static Entity-Relationship (ER) or static Extended ER (EER) data model is not sufficient for representing the underlying time component of the data, more complex data types as found in planning, design and office automation applications …
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3D Object Classification Using Geometric Features and Pairwise Relationships Open
Object classification is a key differentiator of building information modeling (BIM) from three‐dimensional (3D) computer‐aided design (CAD). Incorrect object classification impedes the full exploitation of BIM models. Models prepared usin…
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Relation Networks for Object Detection Open
Although it is well believed for years that modeling relations between objects would help object recognition, there has not been evidence that the idea is working in the deep learning era. All state-of-the-art object detection systems stil…
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GeneGAN: Learning Object Transfiguration and Object Subspace from Unpaired Data Open
Object Transfiguration replaces an object in an image with another object from a second image. For example it can perform tasks like putting exactly those from image A on the nose of the person in image B. Usage of exemplar images allows …
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Learning View-Model Joint Relevance for 3D Object Retrieval Open
3D object retrieval has attracted extensive research efforts and become an important task in recent years. It is noted that how to measure the relevance between 3D objects is still a difficult issue. Most of the existing methods employ jus…
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Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation Open
The goal of this paper is to estimate the 6D pose and dimensions of unseen object instances in an RGB-D image. Contrary to "instance-level" 6D pose estimation tasks, our problem assumes that no exact object CAD models are available during …
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3D Tracking of Human Hands in Interaction with Unknown Objects Open
The analysis and the understanding of object manipulation scenarios based on computer vision techniques can be greatly facilitated if we can gain access to the full articulation of the manipulating hands and the 3D pose of the manipulated …
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RGB-D Object SLAM Using Quadrics for Indoor Environments Open
Indoor service robots need to build an object-centric semantic map to understand and execute human instructions. Conventional visual simultaneous localization and mapping (SLAM) systems build a map using geometric features such as points, …
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Towards automatic generation of object recognition programs Open
Computer Science Department
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Automatic Generation of Digital Twin Based on Scanning and Object Recognition Open
Digital Twin has been recognized as a strategic approach in the modern manufacturing industry to improve both the flexibility and the efficiency. To efficiently generate the Digital Twin of an existing real object in the factory, powerful …
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3D Modeling of a Virtual Built Environment Using Digital Tools: Kilburun Fortress Case Study Open
The reliable reconstruction of cultural or historical heritage objects is an urgent problem for humanity. It can be successfully solved using up-to-date 3D modeling tools. The proposed technique allows for modeling virtual environments at …
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Human-Guided Object Mapping for Task Transfer Open
When transferring a learned task to an environment containing new objects, a core problem is identifying the mapping between objects in the old and new environments. This object mapping is dependent on the task being performed and the role…
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Object-Aware Domain Generalization for Object Detection Open
Single-domain generalization (S-DG) aims to generalize a model to unseen environments with a single-source domain. However, most S-DG approaches have been conducted in the field of classification. When these approaches are applied to objec…
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Auto-contouring via automatic anatomy recognition of organs at risk in head and neck cancer on CT images Open
Contouring of the organs at risk is a vital part of routine radiation therapy planning. For the head and neck (H&N) region, this is more challenging due to the complexity of anatomy, the presence of streak artifacts, and the variations of …
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RotationNet: Learning Object Classification Using Unsupervised Viewpoint Estimation. Open
The recent popularization of depth sensors and the availability of large-scale 3D model databases such as ShapeNet have drawn increased attention to 3D object recognition. Despite the convenience of using 3D models captured offline, we are…
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Component-Wise Modeling of Articulated Objects Open
We introduce a novel framework for modeling articulated objects based on the aspects of their components. By decomposing the object into components, we divide the problem in smaller modeling tasks. After obtaining 3D models for each compon…
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Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views Open
Learning object-centric representations of multi-object scenes is a promising approach towards machine intelligence, facilitating high-level reasoning and control from visual sensory data. However, current approaches for unsupervised objec…
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Experimental verification of model-free active vibration control approach using virtually controlled object Open
The purpose of this study is to develop a simple and practical controller design method without modeling controlled objects. In this technique, modeling of the controlled object is not necessary and a controller is designed with an actuato…
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Detailed 2D-3D Joint Representation for Human-Object Interaction Open
Human-Object Interaction (HOI) detection lies at the core of action understanding. Besides 2D information such as human/object appearance and locations, 3D pose is also usually utilized in HOI learning since its view-independence. However,…
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RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces Open
We present RELATE, a model that learns to generate physically plausible scenes and videos of multiple interacting objects. Similar to other generative approaches, RELATE is trained end-to-end on raw, unlabeled data. RELATE combines an obje…
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Identification of the oculo-motor system based on the Volterra model using eye tracking technology Open
Instrumental algorithmic and software tools for constructing a nonparametric dynamic model of the human oculo-motor system (OMS) based on its inertial and nonlinear properties are developed in the paper on the basis of the experimental stu…
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D3D-HOI: Dynamic 3D Human-Object Interactions from Videos Open
We introduce D3D-HOI: a dataset of monocular videos with ground truth annotations of 3D object pose, shape and part motion during human-object interactions. Our dataset consists of several common articulated objects captured from diverse r…
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Active Object Reconstruction Using a Guided View Planner Open
Inspired by the recent advance of image-based object reconstruction using deep learning, we present an active reconstruction model using a guided view planner. We aim to reconstruct a 3D model using images observed from a planned sequence …
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Visual saliency guided textured model simplification Open
Mesh geometry can be used to model both object shape and details. If texture maps are involved, it is common to let mesh geometry mainly model object shapes and let the texture maps model the most object details, optimising data size and c…
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ROOTS: Object-Centric Representation and Rendering of 3D Scenes Open
A crucial ability of human intelligence is to build up models of individual 3D objects from partial scene observations. Recent works achieve object-centric generation but without the ability to infer the representation, or achieve 3D scene…
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O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning Open
Contrary to the vast literature in modeling, perceiving, and understanding agent-object (e.g., human-object, hand-object, robot-object) interaction in computer vision and robotics, very few past works have studied the task of object-object…
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The prediction algorithm of the technical state of an object by means of fuzzy logic inference models Open
The prediction algorithm of the technical state of an object was elaborated to predict emergencies at object functioning and to provide urgent steps required to control the object. The technical state is described by a set of indices repre…