Patents by Inventor Zhiqiang SHEN
Zhiqiang SHEN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11954175Abstract: Disclosed herein is an improvement to prior art feature pyramids for general object detection that inserts a simple norm calibration (NC) operation between the feature pyramids and detection head to alleviate and balance the norm bias caused by feature pyramid network (FPN) and which leverages an enhanced multi-feature selective strategy (MS) during training to assign the ground-truth to one or more levels of the feature pyramid.Type: GrantFiled: July 28, 2021Date of Patent: April 9, 2024Assignee: Carnegie Mellon UniversityInventors: Fangyi Chen, Chenchen Zhu, Zhiqiang Shen, Han Zhang, Marios Savvides
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Publication number: 20240093443Abstract: Disclosed in the present disclosure is a double-deck multi-span bridge construction method. According to the double-deck bridge construction method of the present disclosure, construction is carried out by using a method of disassembling a support jig frame in a graded and span-separated mode, an upper chord jig frame and a lower chord jig frame can be used in a recycle manner, and construction costs are reduced. In addition, a construction period of building the support jig frame is shortened, and other construction operations can be synchronously carried out on a span in which the jig frame is disassembled, for example, fire retardant coating construction can be carried out on a mounted bridge deck after the jig frame is disassembled, and the construction period of a double-deck multi-span bridge is effectively shortened.Type: ApplicationFiled: September 23, 2021Publication date: March 21, 2024Applicant: CHINA CONSTRUCTION SCIENCE AND INDUSTRY CORPORATION LTD.Inventors: Jinglei REN, Bing SUN, Yonggang GAO, Hongyu SHEN, Shaohui ZHU, Jianguo QI, Cui LIU, Ruihua YAN, Zhiqiang HE, Longfei LI, Sijie YANG, Huaidong ZHANG, Xu CHEN, Wei JIANG, Wenbo LI, Yingwu SUN, Yuhang ZHANG
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Publication number: 20240095523Abstract: Disclosed herein is a system and method for novel neural architecture search using a random graph network backbone to facilitate the creation of an efficient network structure. The method utilizes reinforcement learning algorithms to build a complex relationship between intra-connections (i.e., links between blocks in a random graph network) and extra-connections (i.e., links among blocks across the random graphs network) for discovering an efficient random neural architecture.Type: ApplicationFiled: February 18, 2022Publication date: March 21, 2024Inventors: Marios Savvides, Thanh Hai Phan, Zhiqiang Shen, Askhay Chawla
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Publication number: 20240099066Abstract: Disclosed are a display substrate. The display substrate includes a drive backplane; a first electrode layer disposed on a side of the drive backplane; a pixel definition layer disposed on a side, distal to the drive backplane, of the first electrode layer; an organic light-emitting layer disposed on a side, distal to the drive backplane, of the pixel definition layer, wherein the organic light-emitting layer comprises: a plurality of organic material layers stacked in a direction perpendicular to and away from the drive backplane, and a portion of the organic material layer disposed inside the partition groove is separated from a portion of the organic material layer disposed outside the partition groove; and a second electrode layer disposed on a side, distal to the drive backplane, of the organic light-emitting layer.Type: ApplicationFiled: May 31, 2022Publication date: March 21, 2024Applicants: Yunnan Invensight Optoelectronics Technology Co., Ltd., BOE Technology Group Co., Ltd.Inventors: Yuhao LEE, Xue DONG, Xiaochuan CHEN, Hui TONG, Xiaobin SHEN, Kuanta HUANG, Cao WU, Weiliang BU, Hui WANG, Zhiqiang JIAO
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Publication number: 20240071029Abstract: Disclosed herein is a method of soft anchor-point detection (SAPD), which implements a concise, single-stage anchor-point detector with both faster speed and higher accuracy. Also disclosed is a novel training strategy with two softened optimization techniques: soft-weighted anchor points and soft-selected pyramid levels.Type: ApplicationFiled: January 24, 2022Publication date: February 29, 2024Inventors: Chenchen ZHU, Marios Savvides, Zhiqiang Shen, Fangyi Chen
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Publication number: 20240054775Abstract: Disclosed herein an effective detach strategy which suppresses the flow of gradients from context sub-networks through the detection backbone path to obtain a more discriminative context by forcing the representation of context sub-network to be dissimilar from the detection network. A sub-network is defined to generate the context information from early layers of the detection backbone. Because instance and context focus on perceptually different parts of an image, the representations from either of them should also be discrepant. In addition, a stacked complementary loss is generated to and backpropagated to the detection network.Type: ApplicationFiled: January 31, 2022Publication date: February 15, 2024Inventors: Zhiqiang Shen, Harsh Maheshwari, Marios Savvides
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Patent number: 11900648Abstract: An image generation method includes: extracting a content feature of a first image; respectively extracting an overall image style feature of a second image, and an object style feature of a partial image block, which includes an object, in the second image; determining a target style feature at least according to the overall image style feature and the object style feature; and generating a third image according to the content feature and the target style feature.Type: GrantFiled: October 26, 2021Date of Patent: February 13, 2024Assignees: SENSETIME GROUP LIMITED, HONDA MOTOR CO. LTD.Inventors: Zhiqiang Shen, Mingyang Huang, Jianping Shi, Hideki Matsunaga
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Publication number: 20240035482Abstract: The present disclosure relates to a blowing structure and a fan. The blowing structure includes a main body, a base, a control panel, a second drive member, and a first drive member. The main body is provided with a blowing channel, and the main body is rotatably connected to the base. The control panel is disposed on the main body. The second drive member is disposed in the blowing channel. The first drive member is connected to the main body, and the first drive member is configured to adjust an angle of rotation of the main body with respect to the base. The control panel is electrically connected to the second drive member and the first drive member.Type: ApplicationFiled: November 5, 2021Publication date: February 1, 2024Applicant: GREE ELECTRIC APPLIANCES, INC. OF ZHUHAIInventors: Zhiqiang SHEN, Yong WANG, Shuang FENG, Jiyan WANG, Ruipeng FAN
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Publication number: 20240013032Abstract: Disclosed herein is a design for a 1-bit CNN that closes the performance gap between binary neural networks and real-valued networks on challenging large-scale datasets. The design starts with a high-performance baseline network. Blocks with identity shortcuts which bypass 1-bit generic convolutions are adopted to replace the convolutions in the baseline network. Reshaping and shifting of activation functions is introduced. Finally, a distributional loss to further is adopted enforce the binary network to learn similar output distributions as those of a real-valued network.Type: ApplicationFiled: January 25, 2022Publication date: January 11, 2024Inventors: Zhiqiang Shen, Zechun Liu, Marios Savvides
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Publication number: 20230368038Abstract: Disclosed herein is a method providing a flexible way to transfer knowledge from base to novel classes in a few shot learning scenario. The invention introduces a partial transfer paradigm for the few-shot classification task in which a model is first trained on the base classes. Then, instead of transferring the learned representation by freezing the whole backbone network, an efficient evolutionary search method is used to automatically determine which layer or layers need to be frozen and which will be fine-tuned on the support set of the novel class.Type: ApplicationFiled: January 24, 2022Publication date: November 16, 2023Inventors: Zhiqiang Shen, Zechun Liu, Marios Savvides
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Patent number: 11790644Abstract: Techniques and apparatus for generating dense natural language descriptions for video content are described. In one embodiment, for example, an apparatus may include at least one memory and logic, at least a portion of the logic comprised in hardware coupled to the at least one memory, the logic to receive a source video comprising a plurality of frames, determine a plurality of regions for each of the plurality of frames, generate at least one region-sequence connecting the determined plurality of regions, apply a language model to the at least one region-sequence to generate description information comprising a description of at least a portion of content of the source video. Other embodiments are described and claimed.Type: GrantFiled: January 6, 2022Date of Patent: October 17, 2023Assignee: INTEL CORPORATIONInventors: Yurong Chen, Jianguo Li, Zhou Su, Zhiqiang Shen
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Publication number: 20220262101Abstract: Disclosed herein is a system and method for improving the accuracy of an object detector when trained with a dataset having a significant number of missing annotations. The method uses a novel Background Recalibration Loss (BRL) which adjusts the gradient direction according to its own activation to reduce the adverse effect of error signals by replacing the negative branch of the focal loss with a mirror of the positive branch when the activation is below a confusion threshold.Type: ApplicationFiled: February 14, 2022Publication date: August 18, 2022Inventors: Marios Savvides, Zhiqiang Shen, Fangyi Chen, Han Zhang
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Publication number: 20220180127Abstract: Techniques and apparatus for generating dense natural language descriptions for video content are described. In one embodiment, for example, an apparatus may include at least one memory and logic, at least a portion of the logic comprised in hardware coupled to the at least one memory, the logic to receive a source video comprising a plurality of frames, determine a plurality of regions for each of the plurality of frames, generate at least one region-sequence connecting the determined plurality of regions, apply a language model to the at least one region-sequence to generate description information comprising a description of at least a portion of content of the source video. Other embodiments are described and claimed.Type: ApplicationFiled: January 6, 2022Publication date: June 9, 2022Applicant: INTEL CORPORATIONInventors: Yurong CHEN, Jianguo LI, Zhou SU, Zhiqiang SHEN
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Patent number: 11263489Abstract: Techniques and apparatus for generating dense natural language descriptions for video content are described. In one embodiment, for example, an apparatus may include at least one memory and logic, at least a portion of the logic comprised in hardware coupled to the at least one memory, the logic to receive a source video comprising a plurality of frames, determine a plurality of regions for each of the plurality of frames, generate at least one region-sequence connecting the determined plurality of regions, apply a language model to the at least one region-sequence to generate description information comprising a description of at least a portion of content of the source video. Other embodiments are described and claimed.Type: GrantFiled: June 29, 2017Date of Patent: March 1, 2022Assignee: INTEL CORPORATIONInventors: Yurong Chen, Jianguo Li, Zhou Su, Zhiqiang Shen
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Publication number: 20220044054Abstract: An image generation method includes: extracting a content feature of a first image; respectively extracting an overall image style feature of a second image, and an object style feature of a partial image block, which includes an object, in the second image; determining a target style feature at least according to the overall image style feature and the object style feature; and generating a third image according to the content feature and the target style feature.Type: ApplicationFiled: October 26, 2021Publication date: February 10, 2022Applicants: SENSETIME GROUP LIMITED, HONDA MOTOR CO. LTD.Inventors: Zhiqiang SHEN, Mingyang HUANG, Jianping SHI, Hideki MATSUNAGA
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Publication number: 20220044073Abstract: Disclosed herein is an improvement to prior art feature pyramids for general object detection that inserts a simple norm calibration (NC) operation between the feature pyramids and detection head to alleviate and balance the norm bias caused by feature pyramid network (FPN) and which leverages an enhanced multi-feature selective strategy (MS) during training to assign the ground-truth to one or more levels of the feature pyramid.Type: ApplicationFiled: July 28, 2021Publication date: February 10, 2022Inventors: Fangyi Chen, Chenchen Zhu, Zhiqiang Shen, Han Zhang, Marios Savvides
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Publication number: 20210142115Abstract: Techniques and apparatus for generating dense natural language descriptions for video content are described. In one embodiment, for example, an apparatus may include at least one memory and logic, at least a portion of the logic comprised in hardware coupled to the at least one memory, the logic to receive a source video comprising a plurality of frames, determine a plurality of regions for each of the plurality of frames, generate at least one region-sequence connecting the determined plurality of regions, apply a language model to the at least one region-sequence to generate description information comprising a description of at least a portion of content of the source video. Other embodiments are described and claimed.Type: ApplicationFiled: June 29, 2017Publication date: May 13, 2021Applicant: INTEL CORPORATIONInventors: Yurong CHEN, Jianguo LI, Zhou SU, Zhiqiang SHEN