公开(公告)号：US20230334296A1

公开(公告)日：2023-10-19

申请号：US18334232

申请日：2023-06-13

Applicant: Intel Corporation

Inventor： Anthony Rhodes

IPC: G06N3/0464

CPC classification number: G06N3/0464

Abstract: Methods, apparatus, and systems are disclosed for uncertainty estimation for human-in-the-loop automation (e.g., a human user or a machine user interview) using multi-view belief synthesis. An example apparatus includes at least one memory, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to receive input from a deep learning network, perform dissonance regularization to the input from the deep learning network, the dissonance regularization including a multi-view belief fusion, identify a loss function constraint based on the dissonance regularization, apply the identified loss function constraint during training of a viewpoint model, and initiate at least one user intervention based on a total vacuity threshold, the total vacuity threshold associated with the multi-view belief fusion.

公开(公告)号：US20230186080A1

公开(公告)日：2023-06-15

申请号：US17936975

申请日：2022-09-30

Applicant: Intel Corporation

Inventor： Anthony Rhodes ,  Hong Lu ,  Jose Lopez ,  Lama Nachman

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: Data analysis and neural network training technology includes generates, based on a sparse neural network, a feature selection ranking representing a ranked list of features from input data, where the sparse neural network is a shallow neural network trained with the input data and then pruned, generates, based on the sparse neural network, a feature set dictionary representing interactions among features from the input data, and performs, based on the feature selection ranking and the feature set dictionary, one or more of generating an output analysis of insights from the input data and the sparse neural network, or training of a second neural network. The technology can also adjust the input data based on the feature set ranking to produce adjusted input data, where the sparse neural network is re-trained based on the adjusted input data and then pruned prior to generating the feature set dictionary.

公开(公告)号：US11538165B2

公开(公告)日：2022-12-27

申请号：US16726662

申请日：2019-12-24

Applicant: Intel Corporation

Inventor： Anthony Rhodes

IPC: G06T5/00 ,  G06T7/11 ,  H04N1/62 ,  H04N1/60

Abstract: Examples described herein relate to automatic identification and transformation of a color region. A user can identify a region of a video frame or image that corresponds to a color region that is to be segmented. A color region can include one or more colors that appear to be approximately a uniform color. For one or more video frames, gamma correction can be applied to frames of the video. One or more frames of a video can be mapped to two color spaces. For each pixel in an image, a determination is made if the pixel has the same color as that of the identified region based on each of the at least two color spaces identifying the pixel as the color. The color region can be identified throughout a video and transformed to another color to aid in video editing.

公开(公告)号：US20220335277A1

公开(公告)日：2022-10-20

申请号：US17856227

申请日：2022-07-01

Applicant: Intel Corporation

Inventor： Julio Cesar Zamora Esquivel ,  Anthony Rhodes ,  Lama Nachman ,  Edgar Macías García

IPC: G06N3/04

Abstract: Systems, apparatuses and methods may provide for technology that selects a fractional derivative value, determines a derivative operation based on the fractional derivative value, applies the derivative operation to an activation function to obtain a deformable fractional filter, generates a mask based on the deformable fractional filter, and convolves the mask with input data.

公开(公告)号：US20220301097A1

公开(公告)日：2022-09-22

申请号：US17832366

申请日：2022-06-03

Applicant: Intel Corporation

Inventor： Anthony Rhodes ,  Ke Ding ,  Neil Yeung

IPC: G06T1/20 ,  G06T7/10 ,  G06T1/60 ,  G06F9/50

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to implement dual attention vision transformers for interactive image segmentation. In some examples, the apparatus includes memory, instructions, and processor circuitry to execute and/or instantiate the instructions to partition information in an input tensor into a plurality of tensor crops, the input tensor representing image data of an image. The processor circuitry is further to execute and/or instantiate the instructions to create a dual-attention tensor representation of the input tensor, including an inter-attention tensor representation describing a first correlation between the plurality of tensor crops and an intra-attention tensor representation describing a second correlation between a plurality of layers in a tensor crop of the plurality of tensor crops.

公开(公告)号：US20210225002A1

公开(公告)日：2021-07-22

申请号：US17161139

申请日：2021-01-28

Applicant: Intel Corporation

Inventor： Ke Ding ,  Anthony Rhodes ,  Manan Goel

IPC: G06T7/11 ,  G06N3/04

Abstract: Various embodiments are generally directed to techniques for image segmentation utilizing context, such as with a machine learning (ML) model that injects context into various training stages. Many embodiments utilize one or more of an encoder-decoder model topology and select criteria and parameters in hyper-parameter optimization (HPO) to conduct the best model neural architecture search (NAS). Some embodiments are particularly directed to resizing context frames to a resolution that corresponds with a particular stage of decoding. In several embodiments, the context frames are concatenated with one or more of data from a previous decoding stage and data from a corresponding encoding stage prior to being provided as input to a next decoding stage.

公开(公告)号：US11069365B2

公开(公告)日：2021-07-20

申请号：US15941150

申请日：2018-03-30

Applicant: Intel Corporation

Inventor： Swarnendu Kar ,  Anthony Rhodes

IPC: G10L21/0232 ,  G10L21/028 ,  G10L25/18 ,  H04R1/40 ,  H04R3/00 ,  G10L21/0272

Abstract: A mechanism is described for facilitating wind detection and wind noise reduction in computing environments according to one embodiment. An apparatus of embodiments, as described herein, includes wind detection logic to detect wind associated with the apparatus including a wearable computing device, wherein the wind is detected based on samples from multiple microphones and extraction and use of multiple features including spectral sub-band centroid (SSC) features and coherence features; and decision and execution logic to reduce wind noise associated with the detected wind.

公开(公告)号：US20200160528A1

公开(公告)日：2020-05-21

申请号：US16773715

申请日：2020-01-27

Applicant: INTEL CORPORATION

Inventor： Anthony Rhodes ,  Manan Goel

IPC: G06T7/11 ,  G06T7/174 ,  G06T3/40 ,  G06T9/00 ,  G06K9/62

Abstract: Techniques related to automatically segmenting video frames into per pixel fidelity object of interest and background regions are discussed. Such techniques include applying tessellation to a video frame to generate feature frames corresponding to the video frame and applying a segmentation network implementing context aware skip connections to an input volume including the feature frames and a context feature volume corresponding to the video frame to generate a segmentation for the video frame.

公开(公告)号：US20240320953A1

公开(公告)日：2024-09-26

申请号：US18677473

申请日：2024-05-29

Applicant: Intel Corporation

Inventor： Anthony Rhodes ,  Ilke Demir ,  Yali Bian

IPC: G06V10/74 ,  G06V10/46

CPC classification number: G06V10/761 ,  G06V10/462

Abstract: An example apparatus includes interface circuitry, machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to access a first saliency map and a second saliency map associated with an image dataset, encode pixel-level intensity of the first saliency map, encode pixel-level intensity of the second saliency map, generate a saliency comparison metric based on the pixel-level intensity of the first saliency map and the pixel-level intensity of the second saliency map, and compare spatial properties of the first saliency map and the second saliency map using the saliency comparison metric.

公开(公告)号：US12045986B2

公开(公告)日：2024-07-23

申请号：US17131525

申请日：2020-12-22

Applicant: Intel Corporation

Inventor： Anthony Rhodes ,  Manan Goel ,  Ke Ding

IPC: G06T7/00 ,  G06F18/20 ,  G06N3/045 ,  G06T7/10 ,  G06T7/11 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82

CPC classification number: G06T7/11 ,  G06F18/285 ,  G06N3/045 ,  G06T7/10 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for interactive image segmentation. An example apparatus includes an inception controller to execute an inception sublayer of a convolutional neural network (CNN) including two or more inception-atrous-collation (IAC) layers, the inception sublayer including two or more convolutions including respective kernels of varying sizes to generate multi-scale inception features, the inception sublayer to receive one or more context features indicative of user input; an atrous controller to execute an atrous sublayer of the CNN, the atrous sublayer including two or more atrous convolutions including respective kernels of varying sizes to generate multi-scale atrous features; and a collation controller to execute a collation sublayer of the CNN to collate the multi-scale inception features, the multi-scale atrous features, and eidetic memory features.