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You searched for +publisher:"Delft University of Technology" +contributor:("Khademi, Seyran"). Showing records 1 – 5 of 5 total matches.

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Delft University of Technology

1. Shi, Xiangwei (author). Interpretable Deep Visual Place Recognition.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:a5d18d54-eb6b-43f2-8f26-8e7c34e49486 

► We propose a framework to interpret deep convolutional models for visual place classification. Given a deep place classification model, our proposed method produces visual explanations… (more)

Subjects/Keywords: Convolutional Neural Networks; Visual Place Recognition; Interpreting Deep Neural Networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shi, X. (. (2018). Interpretable Deep Visual Place Recognition. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a5d18d54-eb6b-43f2-8f26-8e7c34e49486

Chicago Manual of Style (16th Edition):

Shi, Xiangwei (author). “Interpretable Deep Visual Place Recognition.” 2018. Masters Thesis, Delft University of Technology. Accessed February 26, 2021. http://resolver.tudelft.nl/uuid:a5d18d54-eb6b-43f2-8f26-8e7c34e49486.

MLA Handbook (7th Edition):

Shi, Xiangwei (author). “Interpretable Deep Visual Place Recognition.” 2018. Web. 26 Feb 2021.

Vancouver:

Shi X(. Interpretable Deep Visual Place Recognition. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Feb 26]. Available from: http://resolver.tudelft.nl/uuid:a5d18d54-eb6b-43f2-8f26-8e7c34e49486.

Council of Science Editors:

Shi X(. Interpretable Deep Visual Place Recognition. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:a5d18d54-eb6b-43f2-8f26-8e7c34e49486


Delft University of Technology

2. Cheng, Zhaoyang (author). Detecting phenological transition dates of vegetation based on multiple deep learning models.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:1abc07cb-2fa3-466d-8e15-21c96d275c91 

► 

Vegetation phenology is the interaction between vegetation activities and ecosystem. Accurate monitoring of vegetation phenology is required to build models and enhance the understanding of… (more)

Subjects/Keywords: Deep Learning; Phenology; Vegetation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cheng, Z. (. (2018). Detecting phenological transition dates of vegetation based on multiple deep learning models. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1abc07cb-2fa3-466d-8e15-21c96d275c91

Chicago Manual of Style (16th Edition):

Cheng, Zhaoyang (author). “Detecting phenological transition dates of vegetation based on multiple deep learning models.” 2018. Masters Thesis, Delft University of Technology. Accessed February 26, 2021. http://resolver.tudelft.nl/uuid:1abc07cb-2fa3-466d-8e15-21c96d275c91.

MLA Handbook (7th Edition):

Cheng, Zhaoyang (author). “Detecting phenological transition dates of vegetation based on multiple deep learning models.” 2018. Web. 26 Feb 2021.

Vancouver:

Cheng Z(. Detecting phenological transition dates of vegetation based on multiple deep learning models. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Feb 26]. Available from: http://resolver.tudelft.nl/uuid:1abc07cb-2fa3-466d-8e15-21c96d275c91.

Council of Science Editors:

Cheng Z(. Detecting phenological transition dates of vegetation based on multiple deep learning models. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:1abc07cb-2fa3-466d-8e15-21c96d275c91


Delft University of Technology

3. Garg, Chirag (author). Indoor 3D Reconstruction from a Single Image.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:70f42eb0-241a-46a2-8bf8-87d89bea26b0 

► 

3D indoor reconstruction has been an important research area in the field of computer vision and photogrammetry. While the initial techniques developed for this purpose… (more)

Subjects/Keywords: 3D Reconstruction; Deep Learning; indoor reconstruction; Piecewise Planar Reconstruction; Point Cloud; 3D Model; Convolutional Neural Networks; Depth reconstruction; Supervised Learning; Indoor environment; Single Image

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Garg, C. (. (2020). Indoor 3D Reconstruction from a Single Image. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:70f42eb0-241a-46a2-8bf8-87d89bea26b0

Chicago Manual of Style (16th Edition):

Garg, Chirag (author). “Indoor 3D Reconstruction from a Single Image.” 2020. Masters Thesis, Delft University of Technology. Accessed February 26, 2021. http://resolver.tudelft.nl/uuid:70f42eb0-241a-46a2-8bf8-87d89bea26b0.

MLA Handbook (7th Edition):

Garg, Chirag (author). “Indoor 3D Reconstruction from a Single Image.” 2020. Web. 26 Feb 2021.

Vancouver:

Garg C(. Indoor 3D Reconstruction from a Single Image. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Feb 26]. Available from: http://resolver.tudelft.nl/uuid:70f42eb0-241a-46a2-8bf8-87d89bea26b0.

Council of Science Editors:

Garg C(. Indoor 3D Reconstruction from a Single Image. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:70f42eb0-241a-46a2-8bf8-87d89bea26b0


Delft University of Technology

4. Liu, Xin (author). Unsupervised Cross Domain Image Matching with Outlier Detection.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:fcd6c0f8-6618-4fdb-b8ad-e183b3a81b73 

► 

This work proposes a method for matching images from different domains in an unsupervised manner, and detecting outlier samples in the target domain at the… (more)

Subjects/Keywords: Computer Vision; Domain Adaptation; Image Matching; Outlier Detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, X. (. (2018). Unsupervised Cross Domain Image Matching with Outlier Detection. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:fcd6c0f8-6618-4fdb-b8ad-e183b3a81b73

Chicago Manual of Style (16th Edition):

Liu, Xin (author). “Unsupervised Cross Domain Image Matching with Outlier Detection.” 2018. Masters Thesis, Delft University of Technology. Accessed February 26, 2021. http://resolver.tudelft.nl/uuid:fcd6c0f8-6618-4fdb-b8ad-e183b3a81b73.

MLA Handbook (7th Edition):

Liu, Xin (author). “Unsupervised Cross Domain Image Matching with Outlier Detection.” 2018. Web. 26 Feb 2021.

Vancouver:

Liu X(. Unsupervised Cross Domain Image Matching with Outlier Detection. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Feb 26]. Available from: http://resolver.tudelft.nl/uuid:fcd6c0f8-6618-4fdb-b8ad-e183b3a81b73.

Council of Science Editors:

Liu X(. Unsupervised Cross Domain Image Matching with Outlier Detection. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:fcd6c0f8-6618-4fdb-b8ad-e183b3a81b73


Delft University of Technology

5. Li, Jiahui (author). Attention-Aware Age-Agnostic Visual Place Recognition.

Degree: 2019, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:250d37a9-bc0d-4f8f-8d1a-d31a98dc22d7 

► A cross-domain visual place recognition (VPR) task is proposed in this work, i.e., matching images of the same architectures depicted in different domains. VPR is… (more)

Subjects/Keywords: Computer Vision; Domain Adaptation; Image Matching; Attention Mechanism

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❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, J. (. (2019). Attention-Aware Age-Agnostic Visual Place Recognition. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:250d37a9-bc0d-4f8f-8d1a-d31a98dc22d7

Chicago Manual of Style (16th Edition):

Li, Jiahui (author). “Attention-Aware Age-Agnostic Visual Place Recognition.” 2019. Masters Thesis, Delft University of Technology. Accessed February 26, 2021. http://resolver.tudelft.nl/uuid:250d37a9-bc0d-4f8f-8d1a-d31a98dc22d7.

MLA Handbook (7th Edition):

Li, Jiahui (author). “Attention-Aware Age-Agnostic Visual Place Recognition.” 2019. Web. 26 Feb 2021.

Vancouver:

Li J(. Attention-Aware Age-Agnostic Visual Place Recognition. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Feb 26]. Available from: http://resolver.tudelft.nl/uuid:250d37a9-bc0d-4f8f-8d1a-d31a98dc22d7.

Council of Science Editors:

Li J(. Attention-Aware Age-Agnostic Visual Place Recognition. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:250d37a9-bc0d-4f8f-8d1a-d31a98dc22d7

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