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Arjun Bhargava

2 accepted papers

2020

Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors

CVPR 2020oral

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. Our autolabeling method solves an ill-posed inverse problem by considering learned shape priors and optimizing geometric and physical parameters. To addr…

Cited by 125PDFcodeScholar
2020

Real-Time Panoptic Segmentation From Dense Detections

CVPR 2020oral

Panoptic segmentation is a complex full scene parsing task requiring simultaneous instance and semantic segmentation at high resolution. Current state-of-the-art approaches cannot run in real-time, and simplifying these architectures to improve efficiency severely degrades their accuracy. In this pa…

Cited by 94PDFScholar