Indoor scene understanding in 2.5/3d for autonomous agents: A survey
With the availability of low-cost and compact 2.5/3D visual sensing devices, computer vision
community is experiencing a growing interest in visual scene understanding of indoor …
community is experiencing a growing interest in visual scene understanding of indoor …
Kimera: From SLAM to spatial perception with 3D dynamic scene graphs
A Rosinol, A Violette, M Abate… - … Journal of Robotics …, 2021 - journals.sagepub.com
Humans are able to form a complex mental model of the environment they move in. This
mental model captures geometric and semantic aspects of the scene, describes the …
mental model captures geometric and semantic aspects of the scene, describes the …
Imvoxelnet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection
D Rukhovich, A Vorontsova… - Proceedings of the …, 2022 - openaccess.thecvf.com
In this paper, we introduce the task of multi-view RGB-based 3D object detection as an end-
to-end optimization problem. To address this problem, we propose ImVoxelNet, a novel fully …
to-end optimization problem. To address this problem, we propose ImVoxelNet, a novel fully …
Knowledge-embedded routing network for scene graph generation
To understand a scene in depth not only involves locating/recognizing individual objects, but
also requires to infer the relationships and interactions among them. However, since the …
also requires to infer the relationships and interactions among them. However, since the …
3d scene graph: A structure for unified semantics, 3d space, and camera
A comprehensive semantic understanding of a scene is important for many applications-but
in what space should diverse semantic information (eg, objects, scene categories, material …
in what space should diverse semantic information (eg, objects, scene categories, material …
Cubeslam: Monocular 3-d object slam
In this paper, we present a method for single image three-dimensional (3-D) cuboid object
detection and multiview object simultaneous localization and mapping in both static and …
detection and multiview object simultaneous localization and mapping in both static and …
Visual relationship detection with language priors
Visual relationships capture a wide variety of interactions between pairs of objects in images
(eg “man riding bicycle” and “man pushing bicycle”). Consequently, the set of possible …
(eg “man riding bicycle” and “man pushing bicycle”). Consequently, the set of possible …
Visual genome: Connecting language and vision using crowdsourced dense image annotations
Despite progress in perceptual tasks such as image classification, computers still perform
poorly on cognitive tasks such as image description and question answering. Cognition is …
poorly on cognitive tasks such as image description and question answering. Cognition is …
Scene graph generation from objects, phrases and region captions
Object detection, scene graph generation and region captioning, which are three scene
understanding tasks at different semantic levels, are tied together: scene graphs are …
understanding tasks at different semantic levels, are tied together: scene graphs are …
Detecting visual relationships with deep relational networks
Relationships among objects play a crucial role in image understanding. Despite the great
success of deep learning techniques in recognizing individual objects, reasoning about the …
success of deep learning techniques in recognizing individual objects, reasoning about the …