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Adversarial Imaging Pipelines
Adversarial attacks play an essential role in understanding deep neural ...
02/07/2021 ∙ by Buu Phan, et al. ∙
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Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues
Today's state-of-the-art methods for 3D object detection are based on li...
02/06/2021 ∙ by Frank Julca-Aguilar, et al. ∙
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Neural Scene Graphs for Dynamic Scenes
Recent implicit neural rendering methods have demonstrated that it is po...
11/20/2020 ∙ by Julian Ost, et al. ∙
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Pix2Shape – Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation
We infer and generate three-dimensional (3D) scene information from a si...
03/23/2020 ∙ by Sai Rajeswar, et al. ∙
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Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
Conventional sensor systems record information about directly visible ob...
12/13/2019 ∙ by Nicolas Scheiner, et al. ∙
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Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data
The fusion of color and lidar data plays a critical role in object detec...
02/24/2019 ∙ by Mario Bijelic, et al. ∙
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Steady-state Non-Line-of-Sight Imaging
Conventional intensity cameras recover objects in the direct line-of-sig...
11/24/2018 ∙ by Wenzheng Chen, et al. ∙
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