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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23240 条 记 录,以下是4941-4950 订阅
排序:
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
TediGAN: Text-Guided Diverse Face Image Generation and Manip...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xia, Weihao Yang, Yujiu Xue, Jing-Hao Wu, Baoyuan Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Beijing Peoples R China UCL Dept Stat Sci London England Chinese Univ Hongkong Sch Data Sci Shenzhen Peoples R China Shenzhen Res Inst Big Data Secure Comp Lab Big Data Shenzhen Peoples R China
In this work, we propose TediGAN, a novel framework for multi-modal image generation and manipulation with textual descriptions. The proposed method consists of three components: StyleGAN inversion module, visual-ling... 详细信息
来源: 评论
A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning  30
A Gift from Knowledge Distillation: Fast Optimization, Netwo...
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30th ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yim, Junho Joo, Donggyu Bae, Jihoon Kim, Junmo Korea Adv Inst Sci & Technol Sch Elect Engn Daejeon South Korea Elect & Telecommun Res Inst Daejeon South Korea
We introduce a novel technique for knowledge transfer, where knowledge from a pretrained deep neural network (DNN) is distilled and transferred to another DNN. As the DNN maps from the input space to the output space ... 详细信息
来源: 评论
EDTER: Edge Detection with Transformer
EDTER: Edge Detection with Transformer
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Pu, Mengyang Huang, Yaping Liu, Yuming Guan, Qingji Ling, Haibin Beijing Jiaotong Univ Beijing Key Lab Traff Data Anal & Min Beijing Peoples R China Shenzhen Urban Transport Planning Ctr Co Ltd Shenzhen Peoples R China SUNY Stony Brook Dept Comp Sci Stony Brook NY 11794 USA
Convolutional neural networks have made significant progresses in edge detection by progressively exploring the context and semantic features. However, local details are gradually suppressed with the enlarging of rece... 详细信息
来源: 评论
A Biresolution Spectral framework for Product Quantization  31
A Biresolution Spectral framework for Product Quantization
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31st ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Mukherjee, Lopamudra Ravi, Sathya N. Peng, Jiming Singh, Vikas Univ Wisconsin Whitewater WI 53190 USA Univ Wisconsin Madison WI USA Univ Houston Houston TX 77004 USA
Product quantization (PQ) (and its variants) has been effectively used to encode high-dimensional data into compact codes for many problems in vision. In principle, PQ decomposes the given data into a number of lower-... 详细信息
来源: 评论
GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts
GAPartNet: Cross-Category Domain-Generalizable Object Percep...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Geng, Haoran Xu, Helin Zhao, Chengyang Xu, Chao Yi, Li Huang, Siyuan Wang, He Peking Univ CFCS Beijing Peoples R China Peking Univ Sch EECS Beijing Peoples R China Beijing Inst Gen Artificial Intelligence Beijing Peoples R China Tsinghua Univ Beijing Peoples R China Univ Calif Los Angeles Los Angeles CA USA
For years, researchers have been devoted to generalizable object perception and manipulation, where cross-category generalizability is highly desired yet underexplored. In this work, we propose to learn such cross-cat... 详细信息
来源: 评论
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More  32
Student Becoming the Master: Knowledge Amalgamation for Join...
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32nd ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ye, Jingwen Ji, Yixin Wang, Xinchao Ou, Kairi Tao, Dapeng Song, Mingli Zhejiang Univ Coll Comp Sci & Technol Hangzhou Peoples R China Stevens Inst Technol Dept Comp Sci Hoboken NJ USA Alibaba Grp Hangzhou Peoples R China Yunnan Univ Sch Informat Sci & Engn Kunming Yunnan Peoples R China
In this paper, we investigate a novel deep-model reusing task. Our goal is to train a lightweight and versatile student model, without human-labelled annotations, that amalgamates the knowledge and masters the experti... 详细信息
来源: 评论
The 6th AI City Challenge
The 6th AI City Challenge
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Naphade, Milind Wang, Shuo Anastasiu, David C. Tang, Zheng Chang, Ming-Ching Yao, Yue Zheng, Liang Rahman, Mohammed Shaiqur Venkatachalapathy, Archana Sharma, Anuj Feng, Qi Ablavsky, Vitaly Sclaroff, Stan Chakraborty, Pranamesh Li, Alice Li, Shangru Chellappa, Rama NVIDIA Corp Santa Clara CA 95051 USA Santa Clara Univ Santa Clara CA 95053 USA SUNY Albany Albany NY 12222 USA Australian Natl Univ Canberra ACT Australia Indian Inst Technol Kanpur Kanpur Uttar Pradesh India Iowa State Univ Ames IA USA Boston Univ Boston MA 02215 USA Univ Washington Seattle WA 98195 USA Johns Hopkins Univ Baltimore MD 21218 USA
The 6th edition of the AI City Challenge specifically focuses on problems in two domains where there is tremendous unlocked potential at the intersection of computer vision and artificial intelligence: Intelligent Tra... 详细信息
来源: 评论
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Generative Diffusion Prior for Unified Image Restoration and...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Fei, Ben Lyu, Zhaoyang Pan, Liang Zhang, Junzhe Yang, Weidong Luo, Tianyue Zhang, Bo Dai, Bo Fudan Univ Shanghai Peoples R China Shanghai AI Lab Shanghai Peoples R China Nanyang Technol Univ S Lab Singapore Singapore
Existing image restoration methods mostly leverage the posterior distribution of natural images. However, they often assume known degradation and also require supervised training, which restricts their adaptation to c... 详细信息
来源: 评论
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval  31
SketchMate: Deep Hashing for Million-Scale Human Sketch Retr...
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31st ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xu, Peng Huang, Yongye Yuan, Tongtong Pang, Kaiyue Song, Yi-Zhe Xiang, Tao Hospedales, Timothy M. Ma, Zhanyu Guo, Jun Beijing Univ Posts & Telecommun Beijing Peoples R China Queen Mary Univ London SketchX London England Univ Edinburgh Edinburgh Midlothian Scotland
We propose a deep hashing framework for sketch retrieval that, for the first time, works on a multi-million scale human sketch dataset. Leveraging on this large dataset, we explore a few sketch-specific traits that we... 详细信息
来源: 评论
3DeformRS: Certifying Spatial Deformations on Point Clouds
3DeformRS: Certifying Spatial Deformations on Point Clouds
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Perez S, Gabriel Perez, Juan C. Alfarra, Motasem Giancola, Silvio Ghanem, Bernard Univ Nacl Colombia Bogota Colombia King Abdullah Univ Sci & Technol KAUST Thuwal Saudi Arabia KAUST Thuwal Saudi Arabia
3D computer vision models are commonly used in security-critical applications such as autonomous driving and surgical robotics. Emerging concerns over the robustness of these models against real-world deformations mus... 详细信息
来源: 评论