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 Hagelskjaer,
Anders Glent Buch
[pdf] [arXiv]
[bibtex]
@InProceedings{Hagelskjaer_2021_ICCV, author = {Hagelskjaer, 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} }