Results 11 to 20 of about 13,916,515 (311)
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection [PDF]
Computer Vision and Pattern Recognition, 2022 Autonomous driving faces great safety challenges for a lack of global perspective and the limitation of long-range perception capabilities. It has been widely agreed that vehicle-infrastructure cooperation is required to achieve Level 5 autonomy. However,
Haibao Yu +10 more
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An Overview on Image-Based and Scanner-Based 3D Modeling Technologies
Sensors, 2023 Advances in the scientific fields of photogrammetry and computer vision have led to the development of automated multi-image methods that solve the problem of 3D reconstruction.
Styliani Verykokou, Charalabos Ioannidis
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Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior [PDF]
IEEE International Conference on Computer Vision, 2023 In this work, we investigate the problem of creating high-fidelity 3D content from only a single image. This is inherently challenging: it essentially involves estimating the underlying 3D geometry while simultaneously hallucinating unseen textures.
Junshu Tang +6 more
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VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation, housekeeping robots, and augmented/virtual reality.
Yin Zhou, Oncel Tuzel
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How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks) [PDF]
IEEE International Conference on Computer Vision, 2017 This paper investigates how far a very deep neural network is from attaining close to saturating performance on existing 2D and 3D face alignment datasets.
Adrian Bulat, Georgios Tzimiropoulos
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On Conservative Averaging Method in Spline Applications
Современные информационные технологии и IT-образование, 2020 We consider the conservative averaging method for solving the 3-D boundary-value problem of second order in multilayer domain. Looking back to the history of mathematics, integral parabolic splines relates to conservative averaging method (CAM ...
Harijs Kalis, Ilmars Kangro
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RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion [PDF]
Computer Vision and Pattern Recognition, 2022 This paper presents a 3D diffusion model that automatically generates 3D digital avatars represented as neural radiance fields (NeRFs). A significant challenge for 3D diffusion is that the memory and processing costs are prohibitive for producing high ...
Tengfei Wang +10 more
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FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection [PDF]
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021 Monocular 3D object detection is an important task for autonomous driving considering its advantage of low cost. It is much more challenging than conventional 2D cases due to its inherent ill-posed property, which is mainly reflected in the lack of depth
Tai Wang +3 more
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Categorical Depth Distribution Network for Monocular 3D Object Detection [PDF]
Computer Vision and Pattern Recognition, 2021 Monocular 3D object detection is a key problem for autonomous vehicles, as it provides a solution with simple configuration compared to typical multi-sensor systems. The main challenge in monocular 3D detection lies in accurately predicting object depth,
Cody Reading +3 more
semanticscholar +1 more source
On the inverse problem of binocular 3D motion perception. [PDF]
PLoS Computational Biology, 2010 It is shown that existing processing schemes of 3D motion perception such as interocular velocity difference, changing disparity over time, as well as joint encoding of motion and disparity, do not offer a general solution to the inverse optics problem ...
Martin Lages, Suzanne Heron
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