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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023"
11753 条 记 录,以下是4661-4670 订阅
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Posterior Promoted GAN with Distribution Discriminator for Unsupervised Image Synthesis
Posterior Promoted GAN with Distribution Discriminator for U...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Xianchao Cheng, Ziyang Zhang, Xiaotong Liu, Han Dalian Univ Technol Sch Software Key Lab Ubiquitous Network & Serv Software Liaoni Dalian Peoples R China
Sufficient real information in generator is a critical point for the generation ability of GAN. However, GAN and its variants suffer from lack of this point, resulting in brittle training processes. In this paper, we ... 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
NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation
NIKI: Neural Inverse Kinematics with Invertible Neural Netwo...
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conference on computer vision and pattern recognition (cvpr)
作者: Jiefeng Li Siyuan Bian Qi Liu Jiasheng Tang Fan Wang Cewu Lu Department of Computer Science and Engineering Shanghai Jiao Tong University Alibaba Group MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University
With the progress of 3D human pose and shape estimation, state-of-the-art methods can either be robust to occlusions or obtain pixel-aligned accuracy in non-occlusion cases. However, they cannot obtain robustness and ...
来源: 评论
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study
NTIRE 2021 Challenge on Quality Enhancement of Compressed Vi...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yang, Ren Timofte, Radu Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland
This paper introduces a novel dataset for video enhancement and studies the state-of-the-art methods of the NTIRE 2021 challenge on quality enhancement of compressed video. The challenge is the first NTIRE challenge i... 详细信息
来源: 评论
Variational Prototype Learning for Deep Face recognition
Variational Prototype Learning for Deep Face Recognition
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Deng, Jiankang Guo, Jia Yang, Jing Lattas, Alexandros Zafeiriou, Stefanos Huawei Shenzhen Peoples R China Imperial Coll London England InsightFace London England Univ Nottingham Nottingham England
Deep face recognition has achieved remarkable improvements due to the introduction of margin-based soft-max loss, in which the prototype stored in the last linear layer represents the center of each class. In these me... 详细信息
来源: 评论
Spatially-Varying Outdoor Lighting Estimation from Intrinsics
Spatially-Varying Outdoor Lighting Estimation from Intrinsic...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhu, Yongjie Zhang, Yinda Li, Si Shi, Boxin Beijing Univ Posts & Telecommun Sch Artificial Intelligence Beijing Peoples R China Google Mountain View CA 94043 USA Peking Univ Dept Comp Sci & Technol NELVT Beijing Peoples R China Peking Univ Inst Artificial Intelligence Beijing Peoples R China
We present SOLID-Net, a neural network for spatially-varying outdoor lighting estimation from a single outdoor image for any 2D pixel location. Previous work has used a unified sky environment map to represent outdoor... 详细信息
来源: 评论
Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos
Co-Grounding Networks with Semantic Attention for Referring ...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Song, Sijie Lin, Xudong Liu, Jiaying Guo, Zongming Chang, Shih-Fu Peking Univ Wangxuan Inst Comp Technol Beijing Peoples R China Columbia Univ DVMM Lab New York NY USA
In this paper, we address the problem of referring expression comprehension in videos, which is challenging due to complex expression and scene dynamics. Unlike previous methods which solve the problem in multiple sta... 详细信息
来源: 评论
The Blessings of Unlabeled Background in Untrimmed Videos
The Blessings of Unlabeled Background in Untrimmed Videos
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Liu, Yuan Chen, Jingyuan Chen, Zhenfang Deng, Bing Huang, Jianqiang Zhang, Hanwang Alibaba Grp Hangzhou Peoples R China Univ Hong Kong Hong Kong Peoples R China Nanyang Technol Univ Singapore Singapore
Weakly-supervised Temporal Action Localization (WTAL) aims to detect the action segments with only video-level action labels in training. The key challenge is how to distinguish the action of interest segments from th... 详细信息
来源: 评论
Research on Identifying Differential Behavior in Complex Scenarios  39
Research on Identifying Differential Behavior in Complex Sce...
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39th Youth Academic Annual conference of Chinese-Association-of-Automation (YAC)
作者: Zhao, Shitao Fang, Kai Feng, Zihao China Acad Railway Sci Inst Comp Technol Beijing Peoples R China
Group behavior recognition is a significant research area in computer vision and pattern recognition. However, recognizing an individual who behaves differently from the majority in complex scenes, such as malls and t... 详细信息
来源: 评论
Visual Atoms: Pre-Training vision Transformers with Sinusoidal Waves
Visual Atoms: Pre-Training Vision Transformers with Sinusoid...
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conference on computer vision and pattern recognition (cvpr)
作者: Sora Takashima Ryo Hayamizu Nakamasa Inoue Hirokatsu Kataoka Rio Yokota National Institute of Advanced Industrial Science and Technology (AIST) Tokyo Institute of Technology
Formula-driven supervised learning (FDSL) has been shown to be an effective method for pre-training vision transformers, where ExFractalDB-21k was shown to exceed the pre-training effect of ImageNet-21k. These studies...
来源: 评论