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公开(公告)号:US20190340728A1
公开(公告)日:2019-11-07
申请号:US16130871
申请日:2018-09-13
Applicant: NVIDIA Corp.
Inventor: Varun Jampani , Deqing Sun , Ming-Yu Liu , Jan Kautz
Abstract: A superpixel sampling network utilizes a neural network coupled to a differentiable simple linear iterative clustering component to determine pixel-superpixel associations from a set of pixel features output by the neural network. The superpixel sampling network computes updated superpixel centers and final pixel-superpixel associations over a number of iterations.
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公开(公告)号:US10593020B2
公开(公告)日:2020-03-17
申请号:US15887907
申请日:2018-02-02
Applicant: NVIDIA Corp.
Inventor: Jinwei Gu , Orazio Gallo , Ming-Yu Liu , Jan Kautz , Huaijin Chen
Abstract: An image processing method extracts consecutive input blurry frames from a video, and generates sharp frames corresponding to the input blurry frames. An optical flow is determined between the sharp frames, and the optical flow is used to compute a per-pixel blur kernel. The blur kernel is used to reblur each of the sharp frames into a corresponding re-blurred frame. The re-blurred frame is used to fine-tune the deblur network by minimizing the distance between the re-blurred frame and the input blurry frame.
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公开(公告)号:US11636668B2
公开(公告)日:2023-04-25
申请号:US15986267
申请日:2018-05-22
Applicant: NVIDIA Corp.
Inventor: Varun Jampani , Hang Su , Deqing Sun , Ming-Hsuan Yang , Jan Kautz
IPC: G06V10/82 , G06N3/04 , G06T7/521 , G06V20/64 , G06V30/19 , G06N3/08 , G06T7/11 , G06T7/174 , G06F18/2415 , G06F18/2413
Abstract: A method includes filtering a point cloud transformation of a 3D object to generate a 3D lattice and processing the 3D lattice through a series of bilateral convolution networks (BCL), each BCL in the series having a lower lattice feature scale than a preceding BCL in the series. The output of each BCL in the series is concatenated to generate an intermediate 3D lattice. Further filtering of the intermediate 3D lattice generates a first prediction of features of the 3D object.
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公开(公告)号:US11506888B2
公开(公告)日:2022-11-22
申请号:US16578077
申请日:2019-09-20
Applicant: NVIDIA Corp.
Inventor: Eric Whitmire , Kaan Aksit , Michael Stengel , Jan Kautz , David Luebke , Ben Boudaoud
Abstract: A gaze tracking system for use by the driver of a vehicle includes an opaque frame circumferentially enclosing a transparent field of view of the driver, light emitting diodes coupled to the opaque frame for emitting infrared light onto various regions of the driver's eye gazing through the transparent field of view, and diodes for sensing intensity of infrared light reflected off of various regions of the driver's eye.
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公开(公告)号:US20210088784A1
公开(公告)日:2021-03-25
申请号:US16578077
申请日:2019-09-20
Applicant: NVIDIA Corp.
Inventor: Eric Whitmire , Kaan Aksit , Michael Stengel , Jan Kautz , David Luebke , Ben Boudaoud
Abstract: A gaze tracking system for use by the driver of a vehicle includes an opaque frame circumferentially enclosing a transparent field of view of the driver, light emitting diodes coupled to the opaque frame for emitting infrared light onto various regions of the driver's eye gazing through the transparent field of view, and diodes for sensing intensity of infrared light reflected off of various regions of the driver's eye.
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公开(公告)号:US20190244331A1
公开(公告)日:2019-08-08
申请号:US15887907
申请日:2018-02-02
Applicant: NVIDIA Corp.
Inventor: Jinwei Gu , Orazio Gallo , Ming-Yu Liu , Jan Kautz , Huaijin Chen
Abstract: An image processing method extracts consecutive input blurry frames from a video, and generates sharp frames corresponding to the input blurry frames. An optical flow is determined between the sharp frames, and the optical flow is used to compute a per-pixel blur kernel. The blur kernel is used to reblur each of the sharp frames into a corresponding re-blurred frame. The re-blurred frame is used to fine-tune the deblur network by minimizing the distance between the re-blurred frame and the input blurry frame.
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公开(公告)号:US10789678B2
公开(公告)日:2020-09-29
申请号:US16130871
申请日:2018-09-13
Applicant: NVIDIA Corp.
Inventor: Varun Jampani , Deqing Sun , Ming-Yu Liu , Jan Kautz
Abstract: A superpixel sampling network utilizes a neural network coupled to a differentiable simple linear iterative clustering component to determine pixel-superpixel associations from a set of pixel features output by the neural network. The superpixel sampling network computes updated superpixel centers and final pixel-superpixel associations over a number of iterations.
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公开(公告)号:US20190147302A1
公开(公告)日:2019-05-16
申请号:US15986267
申请日:2018-05-22
Applicant: NVIDIA Corp.
Inventor: Varun Jampani , Hang Su , Deqing Sun , Ming-Hsuan Yang , Jan Kautz
Abstract: A method includes filtering a point cloud transformation of a 3D object to generate a 3D lattice and processing the 3D lattice through a series of bilateral convolution networks (BCL), each BCL in the series having a lower lattice feature scale than a preceding BCL in the series. The output of each BCL in the series is concatentated to generate an intermediate 3D lattice. Further filtering of the intermediate 3D lattice generates a first prediction of features of the 3D object.
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