Follow
Helisa Dhamo
Title
Cited by
Cited by
Year
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
792020
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
672020
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
432019
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
212019
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
112021
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
62021
Migs: Meta image generation from scene graphs
A Farshad, S Musatian, H Dhamo, N Navab
arXiv preprint arXiv:2110.11918, 2021
42021
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
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation
A Farshad, Y Yeganeh, H Dhamo, F Tombari, N Navab
arXiv preprint arXiv:2211.05499, 2022
2022
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
The system can't perform the operation now. Try again later.
Articles 1–11