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检索条件"任意字段=2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011"
21179 条 记 录,以下是4991-5000 订阅
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Pre-Trained Image Processing Transformer
Pre-Trained Image Processing Transformer
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Chen, Hanting Wang, Yunhe Guo, Tianyu Xu, Chang Deng, Yiping Liu, Zhenhua Ma, Siwei Xu, Chunjing Xu, Chao Gao, Wen Peking Univ Dept Machine Intelligence Key Lab Machine Percept MOE Beijing Peoples R China Huawei Technol Noahs Ark Lab Shenzhen Peoples R China Univ Sydney Fac Engn Sch Comp Sci Sydney NSW Australia Huawei Technol Cent Software Inst Shenzhen Peoples R China Peking Univ Sch Elect Engn & Comp Sci Inst Digital Media Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China
As the computing power of modern hardware is increasing strongly, pre-trained deep learning models (e.g., BERT, GPT-3) learned on large-scale datasets have shown their effectiveness over conventional methods. The big ... 详细信息
来源: 评论
Leveraging per Image-Token Consistency for vision-Language Pre-training
Leveraging per Image-Token Consistency for Vision-Language P...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Gou, Yunhao Ko, Tom Yang, Hansi Kwok, James Zhang, Yu Wang, Mingxuan Southern Univ Sci & Technol Shenzhen Peoples R China Hong Kong Univ Sci & Technol Hong Kong Peoples R China ByteDance Ai Lab Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China
Most existing vision-language pre-training (VLP) approaches adopt cross-modal masked language modeling (CMLM) to learn vision-language associations. However, we find that CMLM is insufficient for this purpose accordin... 详细信息
来源: 评论
DVC: An End-to-end Deep Video Compression Framework  32
DVC: An End-to-end Deep Video Compression Framework
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32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Lu, Guo Ouyang, Wanli Xu, Dong Zhang, Xiaoyun Cai, Chunlei Gao, Zhiyong Shanghai Jiao Tong Univ Shanghai Peoples R China Univ Sydney SenseTime Comp Vis Res Grp Sydney NSW Australia Univ Sydney Sydney NSW Australia
Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information. In this paper, taking advantage of both classical architecture... 详细信息
来源: 评论
Learning to Segment Actions from Visual and Language Instructions via Differentiable Weak Sequence Alignment
Learning to Segment Actions from Visual and Language Instruc...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Shen, Yuhan Wang, Lu Elhamifar, Ehsan Northeastern Univ Boston MA 02115 USA Univ Michigan Ann Arbor MI 48109 USA
We address the problem of unsupervised localization of task-relevant actions (key-steps) and feature learning in instructional videos using both visual and language instructions. Our key observation is that the sequen... 详细信息
来源: 评论
Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter
Implicit Feature Alignment: Learn to Convert Text Recognizer...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wang, Tianwei Zhu, Yuanzhi Jin, Lianwen Peng, Dezhi Li, Zhe He, Mengchao Wang, Yongpan Luo, Canjie South China Univ Technol Sch Elect & Informat Engn Guangzhou Peoples R China Alibaba Grp Hangzhou Peoples R China Guangdong Artificial Intelligence & Digital Econ Guangzhou Peoples R China
Text recognition is a popular research subject with many associated challenges. Despite the considerable progress made in recent years, the text recognition task itself is still constrained to solve the problem of rea... 详细信息
来源: 评论
Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors
Physical Inertial Poser (PIP): Physics-aware Real-time Human...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Yi, Xinyu Zhou, Yuxiao Habermann, Marc Shimada, Soshi Golyanik, Vladislav Theobalt, Christian Xu, Feng Tsinghua Univ Sch Software Beijing Peoples R China Tsinghua Univ BNRist Beijing Peoples R China Saarland Informat Campus Max Planck Inst Informat Saarbrucken Germany
Motion capture from sparse inertial sensors has shown great potential compared to image-based approaches since occlusions do not lead to a reduced tracking quality and the recording space is not restricted to be withi... 详细信息
来源: 评论
Generative Flows with Invertible Attentions
Generative Flows with Invertible Attentions
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Sukthanker, Rhea Sanjay Huang, Zhiwu Kumar, Suryansh Timofte, Radu Van Gool, Luc Swiss Fed Inst Technol CVL Zurich Switzerland SMU SAVG Singapore Singapore Katholieke Univ Leuven PSI Leuven Belgium
Flow-based generative models have shown an excellent ability to explicitly learn the probability density function of data via a sequence of invertible transformations. Yet, learning attentions in generative flows rema... 详细信息
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Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
Shortcomings of Top-Down Randomization-Based Sanity Checks f...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Binder, Alexander Weber, Leander Lapuschkin, Sebastian Montavon, Gregoire Muller, Klaus-Robert Samek, Wojciech SIT Singapore IICT Cluster Singapore Singapore UiO Oslo Oslo Norway Fraunhofer HHI Berlin Germany FU Berlin Berlin Germany BIFOLD Berlin Berlin Germany TU Berlin Berlin Germany Korea Univ Seoul Seoul South Korea MPI Saarbrucken Saarbrucken Germany SUTD Singapore Singapore Singapore
While the evaluation of explanations is an important step towards trustworthy models, it needs to be done carefully, and the employed metrics need to be well-understood. Specifically model randomization testing can be... 详细信息
来源: 评论
Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling
Few-Shot Human Motion Transfer by Personalized Geometry and ...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Huang, Zhichao Han, Xintong Xu, Jia Zhang, Tong Hong Kong Univ Sci & Technol Hong Kong Peoples R China Huya Inc Guangzhou Peoples R China
We present a new method for few-shot human motion transfer that achieves realistic human image generation with only a small number of appearance inputs. Despite recent advances in single person motion transfer, prior ... 详细信息
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Virtual Correspondence: Humans as a Cue for Extreme-View Geometry
Virtual Correspondence: Humans as a Cue for Extreme-View Geo...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Ma, Wei-Chiu Yang, Anqi Joyce Wang, Shenlong Urtasun, Raquel Torralba, Antonio MIT 77 Massachusetts Ave Cambridge MA 02139 USA Univ Toronto Toronto ON Canada Univ Illinois Urbana IL USA Waabi Toronto ON Canada Vector Inst Toronto ON Canada
Recovering the spatial layout of the cameras and the geometry of the scene from extreme-view images is a long-standing challenge in computer vision. Prevailing 3D reconstruction algorithms often adopt the image matchi... 详细信息
来源: 评论