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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22908 条 记 录,以下是4511-4520 订阅
排序:
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images
Weakly-supervised Instance Segmentation via Class-agnostic L...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Xinggang Feng, Jiapei Hu, Bin Ding, Qi Ran, Longjin Chen, Xiaoxin Liu, Wenyu Huazhong Univ Sci & Technol Wuhan Peoples R China VIVO Inc Pleasanton CA USA
Humans have a strong class-agnostic object segmentation ability and can outline boundaries of unknown objects precisely, which motivates us to propose a box-supervised class-agnostic object segmentation (BoxCaseg) bas... 详细信息
来源: 评论
Depth from Camera Motion and Object Detection
Depth from Camera Motion and Object Detection
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Griffin, Brent A. Corso, Jason J. Univ Michigan Ann Arbor MI 48109 USA Stevens Inst Artificial Intelligence Hoboken NJ USA
This paper addresses the problem of learning to estimate the depth of detected objects given some measurement of camera motion (e.g., from robot kinematics or vehicle odometry). We achieve this by 1) designing a recur... 详细信息
来源: 评论
Light Field Synthesis from a Monocular Image using Variable LDI
Light Field Synthesis from a Monocular Image using Variable ...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Junhyeong Bak In Kyu Park Department of Electrical and Computer Engineering Inha University Incheon Korea
Recent advancements in learning-based novel view synthesis enable users to synthesize light field from a monocular image without special equipment. Moreover, the state-of-the-art techniques including multiplane image ...
来源: 评论
Prototype-Guided Saliency Feature Learning for Person Search
Prototype-Guided Saliency Feature Learning for Person Search
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kim, Hanjae Joung, Sunghun Kim, Ig-Jae Sohn, Kwanghoon Yonsei Univ Seoul South Korea Korea Inst Sci & Technol KIST Seoul South Korea
Existing person search methods integrate person detection and re-identification (re-ID) module into a unified system. Though promising results have been achieved, the misalignment problem, which commonly occurs in per... 详细信息
来源: 评论
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
DatasetGAN: Efficient Labeled Data Factory with Minimal Huma...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Yuxuan Ling, Huan Gao, Jun Yin, Kangxue Lafleche, Jean-Francois Barriuso, Adela Torralba, Antonio Fidler, Sanja NVIDIA Santa Clara CA 95051 USA Univ Toronto Toronto ON Canada Vector Inst Toronto ON Canada MIT Cambridge MA 02139 USA Univ Waterloo Waterloo ON Canada
We introduce DatasetGAN: an automatic procedure to generate massive datasets of high-quality semantically segmented images requiring minimal human effort. Current deep networks are extremely data-hungry, benefiting fr... 详细信息
来源: 评论
Visual Semantic Role Labeling for Video Understanding
Visual Semantic Role Labeling for Video Understanding
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sadhu, Arka Gupta, Tanmay Yatskar, Mark Nevatia, Ram Kembhavi, Aniruddha Univ Southern Calif Los Angeles CA 90007 USA Univ Penn Philadelphia PA 19104 USA PRIOR Allen Inst AI Seattle WA USA PRIOR AI2 Seattle WA USA
We propose a new framework for understanding and representing related salient events in a video using visual semantic role labeling. We represent videos as a set of related events, wherein each event consists of a ver... 详细信息
来源: 评论
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
CutPaste: Self-Supervised Learning for Anomaly Detection and...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Chun-Liang Sohn, Kihyuk Yoon, Jinsung Pfister, Tomas Google Cloud AI Res Mountain View CA 94043 USA
We aim at constructing a high performance model for defect detection that detects unknown anomalous patterns of an image without anomalous data. To this end, we propose a two-stage framework for building anomaly detec... 详细信息
来源: 评论
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attacks
Protecting Intellectual Property of Generative Adversarial N...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ong, Ding Sheng Chan, Chee Seng Ng, Kam Woh Fan, Lixin Yang, Qiang Univ Malaya Kuala Lumpur Malaysia WeBank AI Lab Kuala Lumpur Malaysia Hong Kong Univ Sci & Technol Hong Kong Peoples R China
Ever since Machine Learning as a Service emerges as a viable business that utilizes deep learning models to generate lucrative revenue, Intellectual Property Right (IPR) has become a major concern because these deep l... 详细信息
来源: 评论
LayoutTransformer: Scene Layout Generation with Conceptual and Spatial Diversity
LayoutTransformer: Scene Layout Generation with Conceptual a...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yang, Cheng-Fu Fan, Wan-Cyuan Yang, Fu-En Wang, Yu-Chiang Frank Natl Taiwan Univ Grad Inst Commun Engn Taipei Taiwan ASUS Intelligent Cloud Serv Taipei Taiwan
When translating text inputs into layouts or images, existing works typically require explicit descriptions of each object in a scene, including their spatial information or the associated relationships. To better exp... 详细信息
来源: 评论
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Zhichao Wang, Feng Wang, Naiyan TuSimple San Diego CA 92122 USA
LiDAR-based 3D detection in point cloud is essential in the perception system of autonomous driving. In this paper, we present LiDAR R-CNN, a second stage detector that can generally improve any existing 3D detector. ... 详细信息
来源: 评论