Learning to Fuse Things and Stuff

no code implementations • 4 Dec 2018 • Jie Li, Allan Raventos, Arjun Bhargava, Takaaki Tagawa, Adrien Gaidon

We propose an end-to-end learning approach for panoptic segmentation, a novel task unifying instance (things) and semantic (stuff) segmentation.

Instance Segmentation Panoptic Segmentation +1

Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors

1 code implementation • CVPR 2020 • Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon

We present an automatic annotation pipeline to recover 9D cuboids and 3D shapes from pre-trained off-the-shelf 2D detectors and sparse LIDAR data.

Real-Time Panoptic Segmentation from Dense Detections

no code implementations • CVPR 2020 • Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome Lynch, Adrien Gaidon

Panoptic segmentation is a complex full scene parsing task requiring simultaneous instance and semantic segmentation at high resolution.

Clustering object-detection +4