3D Object Detection From Images

MonoCInIS: Camera Independent Monocular 3D Object Detection Using Instance Segmentation

Jonas Heylen,

Mark De Wolf,

Bruno Dawagne,

Marc Proesmans,

Luc Van Gool,

Wim Abbeloos,

Hazem Abdelkawy,

Daniel Olmeda Reino

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Heylen_2021_ICCV, author = {Heylen, Jonas and De Wolf, Mark and Dawagne, Bruno and Proesmans, Marc and Van Gool, Luc and Abbeloos, Wim and Abdelkawy, Hazem and Reino, Daniel Olmeda}, title = {MonoCInIS: Camera Independent Monocular 3D Object Detection Using Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {923-934} }

Bridging the Reality Gap for Pose Estimation Networks Using Sensor-Based Domain Randomization

Frederik Hagelskjær,

Anders Glent Buch

[pdf]

[bibtex]

@InProceedings{Hagelskjaer_2021_ICCV, author = {Hagelskj{\ae}r, Frederik and Buch, Anders Glent}, title = {Bridging the Reality Gap for Pose Estimation Networks Using Sensor-Based Domain Randomization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {935-944} }

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Tai Wang,

Xinge Zhu,

Jiangmiao Pang,

Dahua Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_ICCV, author = {Wang, Tai and Zhu, Xinge and Pang, Jiangmiao and Lin, Dahua}, title = {FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {913-922} }