咨询与建议

限定检索结果

文献类型

  • 6,506 篇 会议
  • 29 篇 期刊文献
  • 3 册 图书

馆藏范围

  • 6,537 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 3,906 篇 工学
    • 3,683 篇 计算机科学与技术...
    • 1,504 篇 软件工程
    • 802 篇 光学工程
    • 359 篇 信息与通信工程
    • 256 篇 控制科学与工程
    • 204 篇 机械工程
    • 176 篇 电气工程
    • 95 篇 生物医学工程(可授...
    • 79 篇 生物工程
    • 77 篇 电子科学与技术(可...
    • 61 篇 仪器科学与技术
    • 38 篇 建筑学
    • 36 篇 力学(可授工学、理...
    • 34 篇 土木工程
    • 31 篇 航空宇航科学与技...
    • 31 篇 安全科学与工程
    • 22 篇 材料科学与工程(可...
    • 22 篇 交通运输工程
  • 1,537 篇 理学
    • 980 篇 物理学
    • 960 篇 数学
    • 376 篇 统计学(可授理学、...
    • 152 篇 生物学
    • 34 篇 系统科学
    • 24 篇 化学
  • 168 篇 管理学
    • 120 篇 图书情报与档案管...
    • 50 篇 管理科学与工程(可...
    • 33 篇 工商管理
  • 139 篇 医学
    • 138 篇 临床医学
    • 21 篇 基础医学(可授医学...
  • 20 篇 法学
    • 19 篇 社会学
  • 11 篇 农学
  • 10 篇 教育学
  • 7 篇 经济学
  • 3 篇 军事学
  • 3 篇 艺术学

主题

  • 2,304 篇 computer vision
  • 864 篇 pattern recognit...
  • 640 篇 cameras
  • 634 篇 computer science
  • 577 篇 face recognition
  • 553 篇 layout
  • 523 篇 image segmentati...
  • 509 篇 conferences
  • 503 篇 shape
  • 450 篇 robustness
  • 438 篇 object recogniti...
  • 390 篇 humans
  • 341 篇 feature extracti...
  • 318 篇 training
  • 307 篇 object detection
  • 261 篇 application soft...
  • 260 篇 image recognitio...
  • 250 篇 lighting
  • 240 篇 image reconstruc...
  • 237 篇 computational mo...

机构

  • 43 篇 microsoft resear...
  • 26 篇 department of co...
  • 21 篇 swiss fed inst t...
  • 21 篇 school of comput...
  • 20 篇 department of co...
  • 19 篇 swiss fed inst t...
  • 19 篇 carnegie mellon ...
  • 18 篇 department of co...
  • 17 篇 department of in...
  • 17 篇 the robotics ins...
  • 17 篇 institute of com...
  • 16 篇 univ sci & techn...
  • 16 篇 robotics institu...
  • 15 篇 tsinghua univ pe...
  • 14 篇 department of el...
  • 14 篇 school of comput...
  • 14 篇 school of comput...
  • 13 篇 univ maryland co...
  • 13 篇 microsoft resear...
  • 13 篇 microsoft resear...

作者

  • 39 篇 timofte radu
  • 28 篇 s.k. nayar
  • 25 篇 huang thomas s.
  • 24 篇 xiaoou tang
  • 22 篇 t. kanade
  • 20 篇 t.s. huang
  • 19 篇 van gool luc
  • 19 篇 t. darrell
  • 19 篇 chellappa rama
  • 18 篇 nayar shree k.
  • 17 篇 a.k. jain
  • 17 篇 a. zisserman
  • 17 篇 jain anil k.
  • 17 篇 zisserman andrew
  • 16 篇 g. healey
  • 16 篇 torralba antonio
  • 16 篇 heung-yeung shum
  • 16 篇 l. van gool
  • 15 篇 zhang lei
  • 15 篇 li stan z.

语言

  • 6,537 篇 英文
  • 1 篇 其他
检索条件"任意字段=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005"
6538 条 记 录,以下是101-110 订阅
排序:
AIGeN: An Adversarial Approach for Instruction Generation in VLN
AIGeN: An Adversarial Approach for Instruction Generation in...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Rawal, Niyati Bigazzi, Roberto Baraldi, Lorenzo Cucchiara, Rita Univ Modena & Reggio Emilia Modena Italy
In the last few years, the research interest in vision-and-Language Navigation (VLN) has grown significantly. VLN is a challenging task that involves an agent following human instructions and navigating in a previousl... 详细信息
来源: 评论
Exploring the Benefits of vision Foundation Models for Unsupervised Domain Adaptation
Exploring the Benefits of Vision Foundation Models for Unsup...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Englert, Bruno B. Piva, Fabrizio J. Kerssies, Tommie de Geus, Daan Dubbelman, Gijs Eindhoven Univ Technol Eindhoven Netherlands
Achieving robust generalization across diverse data domains remains a significant challenge in computer vision. This challenge is important in safety-critical applications, where deep-neural-network-based systems must... 详细信息
来源: 评论
CAGE: Circumplex Affect Guided Expression Inference
CAGE: Circumplex Affect Guided Expression Inference
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wagner, Niklas Maetzler, Felix Vossberg, Samed R. Schneider, Helen Pavlitska, Svetlana Zoellner, J. Marius Karlsruhe Inst Technol KIT Karlsruhe Germany FZI Res Ctr Informat Technol Karlsruhe Germany
Understanding emotions and expressions is a task of interest across multiple disciplines, especially for improving user experiences. Contrary to the common perception, it has been shown that emotions are not discrete ... 详细信息
来源: 评论
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Metho...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wang, Longguang Guo, Yulan Li, Juncheng Liu, Hongda Zhao, Yang Wang, Yingqian Jin, Zhi Gu, Shuhang Timofte, Radu Aviation University of Air Force Sun Yat-sen University The Shenzhen Campus of Sun Yat-sen University China National University of Defense Technology China Shanghai University China University of Electronic Science and Technology of China China Computer Vision Lab University of Würzburg Germany
This paper summarizes the 3rd NTIRE challenge on stereo image super-resolution (SR) with a focus on new solutions and results. The task of this challenge is to super-resolve a low-resolution stereo image pair to a hig... 详细信息
来源: 评论
ELSA: Exploiting Layer-wise N:M Sparsity for vision Transformer Acceleration
ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transfor...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Huang, Ning-Chi Chang, Chi-Chih Lin, Wei-Cheng Taka, Endri Marculescu, Diana Wu, Kai-Chiang Natl Yang Ming Chiao Tung Univ Hsinchu Taiwan Univ Texas Austin Austin TX USA
N:M sparsity is an emerging model compression method supported by more and more accelerators to speed up sparse matrix multiplication in deep neural networks. Most existing N:M sparsity methods compress neural network... 详细信息
来源: 评论
Exploring the Zero-Shot Capabilities of vision-Language Models for Improving Gaze Following
Exploring the Zero-Shot Capabilities of Vision-Language Mode...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Gupta, Anshul Vuillecard, Pierre Farkhondeh, Arya Odobez, Jean-Marc Idiap Res Inst Martigny Switzerland Ecole Polytech Fed Lausanne Lausanne Switzerland
Contextual cues related to a person's pose and interactions with objects and other people in the scene can provide valuable information for gaze following. While existing methods have focused on dedicated cue extr... 详细信息
来源: 评论
Multimodal Attack Detection for Action recognition Models
Multimodal Attack Detection for Action Recognition Models
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Mumcu, Furkan Yilmaz, Yasin Univ S Florida 4202 E Fowler Ave Tampa FL 33620 USA
Adversarial machine learning attacks on video action recognition models is a growing research area and many effective attacks were introduced in recent years. These attacks show that action recognition models can be b... 详细信息
来源: 评论
DVMSR: Distillated vision Mamba for Efficient Super-Resolution
DVMSR: Distillated Vision Mamba for Efficient Super-Resoluti...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Lei, Xiaoyan Zhang, Wenlong Cao, Weifeng Zhengzhou Univ Light Ind Zhengzhou Peoples R China HongKong Polytech Univ Hong Kong Peoples R China
Efficient Image Super-Resolution (SR) aims to accelerate SR network inference by minimizing computational complexity and network parameters while preserving performance. Existing state-of-the-art Efficient Image Super... 详细信息
来源: 评论
Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment
Hierarchical NeuroSymbolic Approach for Comprehensive and Ex...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Okamoto, Lauren Parmar, Paritosh Princeton Univ Princeton NJ 08544 USA ASTAR IHPC Singapore Singapore
Action quality assessment (AQA) applies computer vision to quantitatively assess the performance or execution of a human action. Current AQA approaches are end-to-end neural models, which lack transparency and tend to... 详细信息
来源: 评论
Joint Multimodal Transformer for Emotion recognition in the Wild
Joint Multimodal Transformer for Emotion Recognition in the ...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Waligora, Paul Aslam, Muhammad Haseeb Zeeshan, Muhammad Osama Belharbi, Soufiane Koerich, Alessandro Lameiras Pedersoli, Marco Bacon, Simon Granger, Eric ETS Montreal LIVIA Dept Syst Engn Montreal PQ Canada Concordia Univ Dept Hlth Kinesiol & Appl Physiol Montreal PQ Canada
Multimodal emotion recognition (MMER) systems typically outperform unimodal systems by leveraging the interand intra-modal relationships between, e.g., visual, textual, physiological, and auditory modalities. This pap... 详细信息
来源: 评论