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公开(公告)号：US11610420B2
公开(公告)日：2023-03-21
申请号：US17128565
申请日：2020-12-21
Applicant: NEC Laboratories America, Inc.
Inventor： Yi-Hsuan Tsai , Kihyuk Sohn , Buyu Liu , Manmohan Chandraker , Jong-Chyi Su
Abstract: Systems and methods for human detection are provided. The system aligns image level features between a source domain and a target domain based on an adversarial learning process while training a domain discriminator. The target domain includes humans in one or more different scenes. The system selects, using the domain discriminator, unlabeled samples from the target domain that are far away from existing annotated samples from the target domain. The system selects, based on a prediction score of each of the unlabeled samples, samples with lower prediction scores. The system annotates the samples with the lower prediction scores.
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公开(公告)号：US11468585B2
公开(公告)日：2022-10-11
申请号：US16987705
申请日：2020-08-07
Applicant: NEC Laboratories America, Inc.
Inventor： Quoc-Huy Tran , Pan Ji , Manmohan Chandraker , Lokender Tiwari
Abstract: A method for improving geometry-based monocular structure from motion (SfM) by exploiting depth maps predicted by convolutional neural networks (CNNs) is presented. The method includes capturing a sequence of RGB images from an unlabeled monocular video stream obtained by a monocular camera, feeding the RGB images into a depth estimation/refinement module, outputting depth maps, feeding the depth maps and the RGB images to a pose estimation/refinement module, the depths maps and the RGB images collectively defining pseudo RGB-D images, outputting camera poses and point clouds, and constructing a 3D map of a surrounding environment displayed on a visualization device.
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公开(公告)号：US11373067B2
公开(公告)日：2022-06-28
申请号：US16526073
申请日：2019-07-30
Applicant: NEC Laboratories America, Inc.
Inventor： Samuel Schulter , Ziyan Wang , Buyu Liu , Manmohan Chandraker
IPC: G06K9/62 , B60R11/04 , G05D1/02 , G06N3/02 , G06V20/56 , H04N5/32 , B60W50/14 , B60W60/00 , G06N3/04 , G06N3/08 , G06V10/82 , H04N5/232
Abstract: A method for implementing parametric models for scene representation to improve autonomous task performance includes generating an initial map of a scene based on at least one image corresponding to a perspective view of the scene, the initial map including a non-parametric top-view representation of the scene, implementing a parametric model to obtain a scene element representation based on the initial map, the scene element representation providing a description of one or more scene elements of the scene and corresponding to an estimated semantic layout of the scene, identifying one or more predicted locations of the one or more scene elements by performing three-dimensional localization based on the at least one image, and obtaining an overlay for performing an autonomous task by placing the one or more scene elements with the one or more respective predicted locations onto the scene element representation.
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公开(公告)号：US20220147765A1
公开(公告)日：2022-05-12
申请号：US17519950
申请日：2021-11-05
Applicant: NEC Laboratories America, Inc.
Inventor： Masoud Faraki , Xiang Yu , Yi-Hsuan Tsai , Yumin Suh , Manmohan Chandraker
Abstract: A method for improving face recognition from unseen domains by learning semantically meaningful representations is presented. The method includes obtaining face images with associated identities from a plurality of datasets, randomly selecting two datasets of the plurality of datasets to train a model, sampling batch face images and their corresponding labels, sampling triplet samples including one anchor face image, a sample face image from a same identity, and a sample face image from a different identity than that of the one anchor face image, performing a forward pass by using the samples of the selected two datasets, finding representations of the face images by using a backbone convolutional neural network (CNN), generating covariances from the representations of the face images and the backbone CNN, the covariances made in different spaces by using positive pairs and negative pairs, and employing the covariances to compute a cross-domain similarity loss function.
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公开(公告)号：US20220111869A1
公开(公告)日：2022-04-14
申请号：US17494927
申请日：2021-10-06
Applicant: NEC Laboratories America, Inc.
Inventor： Buyu Liu , Pan Ji , Bingbing Zhuang , Manmohan Chandraker , Uday Kusupati
IPC: B60W60/00 , G06T7/50 , G06K9/72 , G06T7/10 , G06K9/00 , G06K9/62 , G06T7/70 , G06N3/04 , G06N3/08
Abstract: Methods and systems for determining a path include detecting objects within a perspective image that shows a scene. Depth is predicted within the perspective image. Semantic segmentation is performed on the perspective image. An attention map is generated using the detected objects and the predicted depth. A refined top-down view of the scene is generated using the predicted depth and the semantic segmentation. A parametric top-down representation of the scene is determined using a relational graph model. A path through the scene is determined using the parametric top-down representation.
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Patent Agency Ranking
公开(公告)号：US11250573B2
公开(公告)日：2022-02-15
申请号：US16515713
申请日：2019-07-18
Applicant: NEC Laboratories America, Inc.
Inventor： Gaurav Sharma , Manmohan Chandraker , Jinwoo Choi
Abstract: A method is provided for drone-video-based action recognition. The method learns a transformation for each of target video clips taken from a set of target videos, responsive to original features extracted from the target video clips. The transformation corrects differences between a target drone domain corresponding to the target video clips and a source non-drone domain corresponding to source video clips taken from a set of source videos. The method adapts the target to the source domain by applying the transformation to the original features to obtain transformed features for the target video clips. The method converts the original and transformed features of same ones of the target video clips into a single classification feature for each of the target videos. The method classifies a human action in a new target video relative to the set of source videos using the single classification feature for each of the target videos.
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公开(公告)号：US20210150281A1
公开(公告)日：2021-05-20
申请号：US17094139
申请日：2020-11-10
Applicant: NEC Laboratories America, Inc.
Inventor： Yi-Hsuan Tsai , Samuel Schulter , Manmohan Chandraker , Sujoy Paul
Abstract: Systems and methods for adapting semantic segmentation across domains is provided. The method includes inputting a source image into a segmentation network, and inputting a target image into the segmentation network. The method further includes identifying category wise features for the source image and the target image using category wise pooling, and discriminating between the category wise features for the source image and the target image. The method further includes training the segmentation network with a pixel-wise cross-entropy loss on the source image, and a weak image classification loss and an adversarial loss on the target image, and outputting a semantically segmented target image.
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公开(公告)号：US20210142046A1
公开(公告)日：2021-05-13
申请号：US17091066
申请日：2020-11-06
Applicant: NEC Laboratories America, Inc.
Inventor： Xiang Yu , Manmohan Chandraker , Kihyuk Sohn , Aruni RoyChowdhury
Abstract: A computer-implemented method for implementing face recognition includes obtaining a face recognition model trained on labeled face data, separating, using a mixture of probability distributions, a plurality of unlabeled faces corresponding to unlabeled face data into a set of one or more overlapping unlabeled faces that include overlapping identities to those in the labeled face data and a set of one or more disjoint unlabeled faces that include disjoint identities to those in the labeled face data, clustering the one or more disjoint unlabeled faces using a graph convolutional network to generate one or more cluster assignments, generating a clustering uncertainty associated with the one or more cluster assignments, and retraining the face recognition model on the labeled face data and the unlabeled face data to improve face recognition performance by incorporating the clustering uncertainty.
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公开(公告)号：US20210110209A1
公开(公告)日：2021-04-15
申请号：US17128612
申请日：2020-12-21
Applicant: NEC Laboratories America, Inc.
Inventor： Yi-Hsuan Tsai , Kihyuk Sohn , Buyu Liu , Manmohan Chandraker , Jong-Chyi Su
Abstract: Systems and methods for construction zone segmentation are provided. The system aligns image level features between a source domain and a target domain based on an adversarial learning process while training a domain discriminator. The target domain includes construction zones scenes having various objects. The system selects, using the domain discriminator, unlabeled samples from the target domain that are far away from existing annotated samples from the target domain. The system selects, based on a prediction score of each of the unlabeled samples, samples with lower prediction scores. The system annotates the samples with the lower prediction scores.
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公开(公告)号：US20210110178A1
公开(公告)日：2021-04-15
申请号：US17128492
申请日：2020-12-21
Applicant: NEC Laboratories America, Inc.
Inventor： Yi-Hsuan Tsai , Kihyuk Sohn , Buyu Liu , Manmohan Chandraker , Jong-Chyi Su
IPC: G06K9/00 , G06K9/62 , B60W30/095 , B60W30/09 , B60W10/18 , B60W10/20 , G08G1/16 , B60W50/00 , G06N3/08 , G06N3/04
Abstract: Systems and methods for obstacle detection are provided. The system aligns image level features between a source domain and a target domain based on an adversarial learning process while training a domain discriminator. The target domain includes one or more road scenes having obstacles. The system selects, using the domain discriminator, unlabeled samples from the target domain that are far away from existing annotated samples from the target domain. The system selects, based on a prediction score of each of the unlabeled samples, samples with lower prediction scores. The system annotates the samples with the lower prediction scores.
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