| Nome |
# |
|
Stereo and ToF Data Fusion by Learning from Synthetic Data, file e14fb26b-516c-3de1-e053-1705fe0ac030
|
406
|
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Hand gesture recognition with jointly calibrated Leap Motion and depth sensor, file e14fb268-f739-3de1-e053-1705fe0ac030
|
295
|
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3D scanning of cultural heritage with consumer depth cameras, file e14fb268-99ba-3de1-e053-1705fe0ac030
|
187
|
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Joint segmentation of color and depth data based on splitting and merging driven by surface fitting, file e14fb26a-7d19-3de1-e053-1705fe0ac030
|
176
|
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Reliable fusion of ToF and stereo depth driven by confidence measures, file e14fb269-1fe5-3de1-e053-1705fe0ac030
|
146
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Probabilistic ToF and Stereo Data Fusion Based on Mixed Pixel Measurement Models, file e14fb268-89b7-3de1-e053-1705fe0ac030
|
139
|
|
Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting, file e14fb26a-7893-3de1-e053-1705fe0ac030
|
106
|
|
Combining multiple depth-based descriptors for hand gesture recognition, file e14fb269-0036-3de1-e053-1705fe0ac030
|
58
|
|
Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment, file e14fb26c-dd50-3de1-e053-1705fe0ac030
|
56
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Hand gesture recognition with leap motion and kinect devices, file e14fb269-25a8-3de1-e053-1705fe0ac030
|
31
|
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Unsupervised Domain Adaptation of Deep Networks for ToF Depth Refinement, file 82051e08-a21d-4f86-bbf7-5305709ac70d
|
18
|
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Head-mounted gesture controlled interface for human-computer interaction, file e14fb26a-40ca-3de1-e053-1705fe0ac030
|
18
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A multi-camera dataset for depth estimation in an indoor scenario, file e14fb26f-4d49-3de1-e053-1705fe0ac030
|
14
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Fusion of Geometry and Color Information for Scene Segmentation, file e14fb268-fcf0-3de1-e053-1705fe0ac030
|
13
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Knowledge distillation for incremental learning in semantic segmentation, file e14fb26e-415a-3de1-e053-1705fe0ac030
|
12
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Compression of depth information for 3D rendering, file e14fb269-1ece-3de1-e053-1705fe0ac030
|
10
|
|
SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints, file 358126b1-a073-4553-b726-e71548cd304d
|
7
|
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Federated Learning in Computer Vision, file d7f14eaa-02fa-49ca-9de4-9f66498682fc
|
7
|
|
Transmission of 3D scenes over lossy channels, file e14fb269-1a3a-3de1-e053-1705fe0ac030
|
7
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|
Joint Color and Depth Segmentation based on Region Merging and Surface Fitting, file e14fb269-1feb-3de1-e053-1705fe0ac030
|
7
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A Joint Multi-View Plus Depth Image Coding Scheme Based on 3D-Warping, file e14fb269-3bbc-3de1-e053-1705fe0ac030
|
7
|
|
Deep learning for transient image reconstruction from ToF data, file e14fb26e-993e-3de1-e053-1705fe0ac030
|
7
|
|
Autonomous robot exploration in smart environments exploiting wireless sensors and visual features, file e14fb269-1a37-3de1-e053-1705fe0ac030
|
6
|
|
Handheld scanning with 3D cameras, file e14fb269-1f39-3de1-e053-1705fe0ac030
|
6
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Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling, file e14fb26c-60b4-3de1-e053-1705fe0ac030
|
6
|
|
Combining color and shape descriptors for 3D model retrieval, file e14fb269-08ec-3de1-e053-1705fe0ac030
|
5
|
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Efficient depth map compression exploiting segmented color data, file e14fb269-19fe-3de1-e053-1705fe0ac030
|
5
|
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A Novel Interpolation Scheme for Range Data with Side Information, file e14fb269-1a07-3de1-e053-1705fe0ac030
|
5
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Autonomous discovery, localization and recognition of smart objects through WSN and image features, file e14fb269-1a65-3de1-e053-1705fe0ac030
|
5
|
|
Scene segmentation from depth and color data driven by surface fitting, file e14fb269-1f87-3de1-e053-1705fe0ac030
|
5
|
|
Scene Segmentation Driven by Deep Learning and Surface Fitting, file e14fb269-380c-3de1-e053-1705fe0ac030
|
5
|
|
Scene Segmentation Assisted by Stereo Vision, file e14fb269-4347-3de1-e053-1705fe0ac030
|
5
|
|
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild, file e14fb26d-d0ad-3de1-e053-1705fe0ac030
|
5
|
|
Hand gesture recognition with depth data, file e14fb269-43ba-3de1-e053-1705fe0ac030
|
4
|
|
Noise reduction in muon tomography for detecting high density objects, file e14fb269-43bf-3de1-e053-1705fe0ac030
|
4
|
|
Road scenes segmentation across different domains by disentangling latent representations, file 28666c47-4ff1-4d4b-a939-83ee74f2169d
|
3
|
|
Face Detection Coupling Texture, Color and Depth Data, file e14fb269-1a32-3de1-e053-1705fe0ac030
|
2
|
|
Locally Consistent ToF and Stereo Data Fusion, file e14fb269-1a68-3de1-e053-1705fe0ac030
|
2
|
|
Human-Robot Interaction with Depth-Based Gesture Recognition, file e14fb267-b350-3de1-e053-1705fe0ac030
|
1
|
|
Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications, file e14fb268-1281-3de1-e053-1705fe0ac030
|
1
|
|
Exploiting Silhouette Descriptors and Synthetic Data for Hand Gesture Recognition, file e14fb268-9c15-3de1-e053-1705fe0ac030
|
1
|
|
Edge-preserving interpolation of depth data exploiting color information, file e14fb269-1996-3de1-e053-1705fe0ac030
|
1
|
|
Highly Scalable Coding of Depth Maps with Arc Breakpoints, file e14fb269-1f3b-3de1-e053-1705fe0ac030
|
1
|
|
3D Imaging Techniques and Multimedia Applications, file e14fb269-1fe9-3de1-e053-1705fe0ac030
|
1
|
|
Discovery, localization and recognition of smart objects by a mobile robot, file e14fb269-3c35-3de1-e053-1705fe0ac030
|
1
|
|
Depth and multi-view image and video coding: algorithms and quality issues beyond the ones of standard image and video compression, file e14fb269-3db4-3de1-e053-1705fe0ac030
|
1
|
|
Deep learning for multi-path error removal in ToF sensors, file e14fb26b-8fc0-3de1-e053-1705fe0ac030
|
1
|
|
Combination of spatially-modulated ToF and structured light for MPI-free depth estimation, file e14fb26b-96e0-3de1-e053-1705fe0ac030
|
1
|
| Totale |
1.810 |