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Helisa Dhamo
Helisa Dhamo
Research Scientist at Huawei Noah's Ark Lab
Подтвержден адрес электронной почты в домене huawei.com
Название
Процитировано
Процитировано
Год
Learning 3d semantic scene graphs from 3d indoor reconstructions
J Wald*, H Dhamo*, N Navab, F Tombari
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1922020
Semantic image manipulation using scene graphs
H Dhamo*, A Farshad*, I Laina, N Navab, GD Hager, F Tombari, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1222020
Peeking behind objects: Layered depth prediction from a single image
H Dhamo, K Tateno, I Laina, N Navab, F Tombari
Pattern Recognition Letters 125, 333-340, 2019
682019
Graph-to-3d: End-to-end generation and manipulation of 3d scenes using scene graphs
H Dhamo*, F Manhardt*, N Navab, F Tombari
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
552021
Object-driven multi-layer scene decomposition from a single image
H Dhamo, N Navab, F Tombari
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
322019
Human gaussian splatting: Real-time rendering of animatable avatars
A Moreau, J Song, H Dhamo, R Shaw, Y Zhou, E Pérez-Pellitero
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
242024
Unconditional scene graph generation
S Garg*, H Dhamo*, A Farshad, S Musatian, N Navab, F Tombari
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
242021
Migs: Meta image generation from scene graphs
A Farshad, S Musatian, H Dhamo, N Navab
British Machine Vision Conference (BMVC) 2021, 2021
142021
Headgas: Real-time animatable head avatars via 3d gaussian splatting
H Dhamo, Y Nie, A Moreau, J Song, R Shaw, Y Zhou, E Pérez-Pellitero
arXiv preprint arXiv:2312.02902, 2023
102023
Force: Dataset and method for intuitive physics guided human-object interaction
X Zhang, BL Bhatnagar, S Starke, I Petrov, V Guzov, H Dhamo, ...
arXiv preprint arXiv:2403.11237, 2024
42024
Swags: Sampling windows adaptively for dynamic 3d gaussian splatting
R Shaw, J Song, A Moreau, M Nazarczuk, S Catley-Chandar, H Dhamo, ...
arXiv preprint arXiv:2312.13308, 2023
42023
Vschh 2023: A benchmark for the view synthesis challenge of human heads
Y Jang, J Zheng, J Song, H Dhamo, E Pérez-Pellitero, T Tanay, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation
A Farshad, Y Yeganeh, H Dhamo, F Tombari, N Navab
British Machine Vision Conference (BMVC) 2022, 2022
42022
Object-aware monocular depth prediction with instance convolutions
E Simsar, EP Örnek, F Manhardt, H Dhamo, N Navab, F Tombari
IEEE Robotics and Automation Letters 7 (2), 5389-5396, 2022
22022
FORCE: Dataset and Method for Intuitive Physics Guided Human-object Interaction
G Pons-Moll, E Pérez-Pellitero, H Dhamo, V Guzov, I Petrov, S Starke, ...
arXiv, 2024
2024
Scene Understanding and Decomposition for Synthesis and Editing
H Dhamo
Technische Universität München, 2022
2022
Depth Prediction from Structured Light using Fully Convolutional Neural Networks
H Dhamo
Technical University of Munich, 2017
2017
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