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公开(公告)号：US12124936B2
公开(公告)日：2024-10-22
申请号：US17068263
申请日：2020-10-12
发明人： Zheng Qi , Qun Gu , Zheng Li , Chenghao Zhang , Tian Zhou , Zuoguan Wang
CPC分类号： G06N3/04 , G06F5/01 , G06F7/49936 , G06F17/15 , G06F2207/4824
摘要： An example fused convolutional layer, comprising, a comparator capable of reception of a first zero point and a multiply-accumulation result, a first multiplexer coupled to the comparator, wherein the first multiplexer receives a plurality of power-of-two exponent values, a shift normalizer, coupled to the first multiplexer, wherein the shift normalizer is capable of receiving the multiply-accumulation result and the plurality of power-of-two exponent values, wherein the shift normalizer limits a quantization of the multiply-accumulation result to a power-of-two scale and a second multiplexer coupled to an output of the shift normalizer, the first multiplexer and receives a second zero point and outputs an activation.
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公开(公告)号：US20240163554A1
公开(公告)日：2024-05-16
申请号：US17988092
申请日：2022-11-16
发明人： Jiaoyang Yao , Fangwen Tu , Bo Li
IPC分类号： H04N23/67 , G01S17/86 , G01S17/894 , G06T7/277 , G06T7/521 , H04N23/611
CPC分类号： H04N23/671 , G01S17/86 , G01S17/894 , G06T7/277 , G06T7/521 , H04N23/611 , H04N23/675 , G06T2207/10024 , G06T2207/10028 , G06T2207/10048 , G06T2207/20021 , G06T2207/30196
摘要： The invention discloses an active auto-focus tracking system using a time-of-flight (ToF) depth sensor. The ToF sensor serves as a rangefinder and also provides environmental depth information. The active auto-focus system includes a compressive tracking algorithm to track the movement of an object. The active auto-focus tracking system can acquire subject depth information regardless of various lighting conditions, subject positions, and visual patterns. Moreover, the system can perform an improved acquisition of focusing distance in both normal and low-level lighting conditions.
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公开(公告)号：US20230237816A1
公开(公告)日：2023-07-27
申请号：US17586724
申请日：2022-01-27
发明人： Zi Sian Wong , Bo Li
CPC分类号： G06V20/625 , G06V20/582 , G06N20/20
摘要： Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for generating a prediction of at least a text and a particular type associated with an object are described in this specification. A first model output is generated by using a first machine learning model to process input data including one or more objects. The first model output identifies an existence of a particular object in the input data and specifies characteristics of the particular object. A type of the particular object is determined based on the specified characteristics. The type comprises a single-row type and a multi-row type. A single-row representation of the particular object is generated. A second model output is generated by processing the single-row representation. The second model output comprises a prediction of characters corresponding to the particular vehicle license plate.
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公开(公告)号：US11687336B2
公开(公告)日：2023-06-27
申请号：US16869814
申请日：2020-05-08
CPC分类号： G06F9/30036 , G06F9/3001 , G06F9/3877 , G06F9/544 , G06N3/08
摘要： An extensible multi-precision data pipeline system, comprising, a local buffer that stores an input local data set in a local storage format, an input tensor shaper coupled to the local buffer that reads the input local data set and converts the input local data set into an input tensor data set having a tensor format of vector width N by tensor length L, a cascaded pipeline coupled to the input tensor shaper that routes the input tensor data set through at least one function stage resulting in an output tensor data set, an output tensor shaper coupled to the cascaded pipeline that converts the output tensor data set into an output local data set having the local storage format and wherein the output tensor shaper writes the output local data set to the local buffer.
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公开(公告)号：US20230177639A1
公开(公告)日：2023-06-08
申请号：US17545424
申请日：2021-12-08
发明人： Evelyn Chee , Yubo Duan , Shanlan Shen
CPC分类号： G06T3/4046 , G06T5/50 , G06T2207/20016 , G06T2207/20221 , G06T2207/10016
摘要： A method of age and gender estimation, comprising receiving an input image, detecting a facial image within the input image, estimating a head pose based on a set of facial image intensities of the facial image, Wherein the head pose is expressed as a yaw, a pitch and a roll, determining whether the yaw, the pitch and the roll of the head pose is less than a predetermined threshold, aligning the facial image if the yaw, the pitch and the roll of the head pose are less than the predetermined threshold and predicting an age and a gender of the aligned facial image.
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公开(公告)号：US20230177311A1
公开(公告)日：2023-06-08
申请号：US17545799
申请日：2021-12-08
发明人： Wei Zuo , Qiang Zhang , Chenhao Fang , Zheng Qi
CPC分类号： G06N3/0454 , G06F17/18
摘要： The present invention discloses a graph partitioning system for running neural networks on resource constrained hardware systems. The graph partitioning system used for partitioning a neural network graph into a series of sub-graphs and further allow the multiple sub-graphs to be executed in available hardware subsystems. The system based on cost function as estimated computation time and memory bandwidth of partitioned sub-graphs. The graph partitioning system is a cycle estimation model of hardware that can run fast and parameterize memory latency. The graph partitioning system supports heterogeneous partition for different type accelerators such as CPU, GPU, ASIC. The present invention also discloses a method for partitioning neural network graph in to series of sub-graphs.
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7.发明授权公开(公告)号：US11610432B2
公开(公告)日：2023-03-21
申请号：US17953958
申请日：2022-09-27
发明人： Jianyong Zhou , Jizhang Shan
IPC分类号： G06V40/16 , G01J5/02 , H04N23/611
摘要： An example method of infrared access, comprising, receiving a plurality of visual images, receiving a plurality of infrared images, calibrating pairs of at least one of the plurality of visual images to a respective at least one of the plurality of infrared images, determining an average temperature of the plurality of infrared images, determining a temperature of the respective calibrated pairs, and granting access if a visual image of the calibrated pair is authenticated by a facial recognition library and if the temperature of the calibrated pair is within a predefined threshold of the average temperature.
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公开(公告)号：US20230083896A1
公开(公告)日：2023-03-16
申请号：US17474774
申请日：2021-09-14
发明人： Fangwen Tu , Bo Li
摘要： The present invention discloses a system for precise representation of object segmentation with multi-modal input for real-time video applications. The multi-modal segmentation system takes advantage of optical, temporal as well as spatial information to enhance the segmentation for AR and VR or other entrainment purpose with accurate details. The system can segment foreground objects such as human and salient objects within a video frame and allows locating object-of-interest for multiple-purposes.
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公开(公告)号：US20230036081A1
公开(公告)日：2023-02-02
申请号：US17829903
申请日：2022-06-01
发明人： Zhenwei Yuan
IPC分类号： H04N5/232
摘要： An anti-shake image processing method, apparatus, electronic device and storage medium are disclosed. The method includes the following steps. A current actual posture of an imaging device at a current shooting moment of capturing an original image of current frame and multiple reference actual postures of the imaging device at multiple shooting moments of capturing the original images of adjacent multiple frames of the original image of the current frame are obtained. A path smoothing process is performed to determine a current virtual posture after path smoothing at the current shooting moment. A coordinate transformation is performed on the original image of the current frame captured in the current actual posture to an estimated position of the original image of the current frame when captured in the current virtual posture in a pixel coordinate system to obtain a first correction image of the current frame.
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公开(公告)号：US20230035671A1
公开(公告)日：2023-02-02
申请号：US17376027
申请日：2021-07-14
发明人： Tiecheng Wu , Bo Li
摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a depth image, comprising obtaining data representing a first image generated by a first sensor and a second image generated by a second sensor, wherein each of the first and second images includes a plurality of pixels; determining, for each pixel of the plurality of pixels included in the first image, whether the pixel is a boundary pixel associated with a boundary of an object that is represented in the first image; determining, from a plurality of candidate penalty values and for each pixel in the first image, an optimized penalty value for the pixel; generating an optimized cost function for the first image based on the optimized penalty values for the plurality of pixels; and generating a depth image for the first image based on the optimized cost function.
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