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05/22/2023
Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues
We propose Gated Stereo, a high-resolution and long-range depth estimati...
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05/17/2023
S^3Track: Self-supervised Tracking with Soft Assignment Flow
In this work, we study self-supervised multiple object tracking without ...
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12/08/2022
The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection
Most camera lens systems are designed in isolation, separately from down...
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12/04/2021
Gated2Gated: Self-Supervised Depth Estimation from Gated Images
Gated cameras hold promise as an alternative to scanning LiDAR sensors w...
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02/07/2021
Adversarial Imaging Pipelines
Adversarial attacks play an essential role in understanding deep neural ...
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02/06/2021
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues
Today's state-of-the-art methods for 3D object detection are based on li...
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11/20/2020
Neural Scene Graphs for Dynamic Scenes
Recent implicit neural rendering methods have demonstrated that it is po...
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03/23/2020
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...
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12/13/2019
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...
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02/24/2019
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...
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11/24/2018