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检索条件"任意字段=Conference on Computer Vision and Pattern Recognition"
30988 条 记 录,以下是4791-4800 订阅
排序:
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Semi-supervised Semantic Segmentation with Directional Conte...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lai, Xin Tian, Zhuotao Jiang, Li Liu, Shu Zhao, Hengshuang Wang, Liwei Jia, Jiaya Chinese Univ Hong Kong Hong Kong Peoples R China SmartMore Hong Kong Peoples R China Univ Oxford Oxford England
Semantic segmentation has made tremendous progress in recent years. However, satisfying performance highly depends on a large number of pixel-level annotations. Therefore, in this paper, we focus on the semi-supervise... 详细信息
来源: 评论
HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences
HumanGPS: Geodesic PreServing Feature for Dense Human Corres...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Tan, Feitong Tang, Danhang Dou, Mingsong Guo, Kaiwen Pandey, Rohit Keskin, Cem Du, Ruofei Sun, Deqing Bouaziz, Sofien Fanello, Sean Tan, Ping Zhang, Yinda Google Mountain View CA 94043 USA Simon Fraser Univ Burnaby BC Canada
In this paper, we address the problem of building dense correspondences between human images under arbitrary camera viewpoints and body poses. Prior art either assumes small motion between frames or relies on local de... 详细信息
来源: 评论
Learning Continuous Image Representation with Local Implicit Image Function
Learning Continuous Image Representation with Local Implicit...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chen, Yinbo Liu, Sifei Wang, Xiaolong Univ Calif San Diego La Jolla CA 92093 USA NVIDIA Santa Clara CA USA
How to represent an image? While the visual world is presented in a continuous manner, machines store and see the images in a discrete way with 2D arrays of pixels. In this paper, we seek to learn a continuous represe... 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
DriveGAN: Towards a Controllable High-Quality Neural Simulation
DriveGAN: Towards a Controllable High-Quality Neural Simulat...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kim, Seung Wook Philion, Jonah 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
Realistic simulators are critical for training and verifying robotics systems. While most of the contemporary simulators are hand-crafted, a scaleable way to build simulators is to use machine learning to learn how th... 详细信息
来源: 评论
Structured Gradient-Based Interpretations via Norm-Regularized Adversarial Training
Structured Gradient-Based Interpretations via Norm-Regulariz...
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conference on computer vision and pattern recognition (CVPR)
作者: Shizhan Gong Qi Dou Farzan Farnia The Chinese University of Hong Kong
Gradient-based saliency maps have been widely used to explain the decisions of deep neural network classifiers. However, standard gradient-based interpretation maps, including the simple gradient and integrated gradie... 详细信息
来源: 评论
MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices
MobileHumanPose: Toward real-time 3D human pose estimation i...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Choi, Sangbum Choi, Seokeon Kim, Changick Korea Adv Inst Sci & Technol Daejeon South Korea
Currently, 3D pose estimation methods are not compatible with a variety of low computational power devices because of efficiency and accuracy. In this paper, we revisit a pose estimation architecture from a viewpoint ... 详细信息
来源: 评论
Dense vision Transformer Compression with Few Samples
Dense Vision Transformer Compression with Few Samples
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conference on computer vision and pattern recognition (CVPR)
作者: Hanxiao Zhang Yifan Zhou Guo-Hua Wang National Key Laboratory for Novel Software Technology Nanjing University China School of Artificial Intelligence Nanjing University China
Few-shot model compression aims to compress a large model into a more compact one with only a tiny training set (even without labels). Block-level pruning has recently emerged as a leading technique in achieving high ... 详细信息
来源: 评论
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
SUTD-TrafficQA: A Question Answering Benchmark and an Effici...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xu, Li Huang, He Liu, Jun Singapore Univ Technol & Design Informat Syst Technol & Design Singapore Singapore
Traffic event cognition and reasoning in videos is an important task that has a wide range of applications in intelligent transportation, assisted driving, and autonomous vehicles. In this paper, we create a novel dat... 详细信息
来源: 评论
Neural Lumigraph Rendering
Neural Lumigraph Rendering
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kellnhofer, Petr Jebe, Lars C. Jones, Andrew Spicer, Ryan Pulli, Kari Wetzstein, Gordon Raxium Fremont CA 94539 USA Stanford Univ Stanford CA 94305 USA
Novel view synthesis is a challenging and ill-posed inverse rendering problem. Neural rendering techniques have recently achieved photorealistic image quality for this task. State-of-the-art (SOTA) neural volume rende... 详细信息
来源: 评论