Research
I'm interested in image based rendering (IBR) and applications. Especially, in leveragining Deep Generative Models for IBR from minimal user input such as semantic maps and textual descriptions.
|
|
SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images
Christiano Gava,
Vishal Mukunda,
Tewodros A. Habtegebrial,
Federico Raue,
Sebastian Palacio,
Andreas Dengel
The IEEE / CVF Computer Vision and Pattern Recognition Conference Workshops (CVPRW), 2023
|
|
SOMSI: Spherical Novel View Synthesis with Soft Occlusion Multi-Sphere Images
Tewodros A. Habtegebrial,
Christiano Gava,
Marcel Rogge,
Didier Stricker,
Varun Jampani
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022
Project page
|
|
Generative View Synthesis: From Single-view Semantics to Novel-view Images
Tewodros A. Habtegebrial,
Orazio Gallo,
Varun Jampani,
Didier Stricker
Advances in Neural Information Processing Systems (NeurIPS) , 2020
Project page
|
|
Fast View Synthesis with Deep Stereo Vision
Tewodros A. Habtegebrial,
Christian Bailer,
Kiran Varanasi,
Didier Stricker
14th International Conference on Computer Vision Theory and Applications (VISAPP) , 2019
|
|
Deep Convolutional Networks For Snapshot Hyperspectral Demosaicking
Tewodros A. Habtegebrial,
Gerd Reis,
Didier Stricker,
Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, (WHISPERS) , 2019
|
|
Fast Dense Feature Extraction with CNNs that have Pooling or Striding Layers
Christian Bailer,
Tewodros A. Habtegebrial,
Kiran Varanasi,
Didier Stricker
29th British Machine Vision Conference, (BMVC) , 2018
|
|