咨询与建议

限定检索结果

文献类型

  • 12,844 篇 会议
  • 13 篇 期刊文献
  • 2 册 图书

馆藏范围

  • 12,859 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 7,573 篇 工学
    • 6,863 篇 计算机科学与技术...
    • 880 篇 机械工程
    • 814 篇 软件工程
    • 435 篇 控制科学与工程
    • 360 篇 光学工程
    • 306 篇 电气工程
    • 209 篇 仪器科学与技术
    • 124 篇 信息与通信工程
    • 91 篇 生物工程
    • 62 篇 生物医学工程(可授...
    • 39 篇 电子科学与技术(可...
    • 34 篇 安全科学与工程
    • 26 篇 化学工程与技术
    • 21 篇 交通运输工程
    • 20 篇 建筑学
    • 18 篇 土木工程
  • 2,957 篇 医学
    • 2,956 篇 临床医学
    • 15 篇 基础医学(可授医学...
    • 12 篇 药学(可授医学、理...
  • 700 篇 理学
    • 359 篇 物理学
    • 225 篇 数学
    • 175 篇 系统科学
    • 95 篇 统计学(可授理学、...
    • 93 篇 生物学
    • 22 篇 化学
  • 201 篇 艺术学
    • 201 篇 设计学(可授艺术学...
  • 84 篇 管理学
    • 59 篇 图书情报与档案管...
    • 25 篇 管理科学与工程(可...
    • 14 篇 工商管理
  • 23 篇 法学
    • 21 篇 社会学
  • 5 篇 农学
  • 4 篇 教育学
  • 2 篇 经济学
  • 1 篇 军事学

主题

  • 6,464 篇 computer vision
  • 2,688 篇 training
  • 2,437 篇 pattern recognit...
  • 1,780 篇 computational mo...
  • 1,522 篇 visualization
  • 1,348 篇 three-dimensiona...
  • 1,091 篇 computer archite...
  • 1,063 篇 semantics
  • 997 篇 benchmark testin...
  • 976 篇 codes
  • 970 篇 conferences
  • 854 篇 feature extracti...
  • 830 篇 cameras
  • 771 篇 task analysis
  • 707 篇 deep learning
  • 646 篇 image segmentati...
  • 611 篇 object detection
  • 595 篇 shape
  • 554 篇 transformers
  • 538 篇 neural networks

机构

  • 132 篇 univ sci & techn...
  • 122 篇 carnegie mellon ...
  • 120 篇 tsinghua univ pe...
  • 114 篇 univ chinese aca...
  • 113 篇 chinese univ hon...
  • 94 篇 tsinghua univers...
  • 91 篇 zhejiang univ pe...
  • 91 篇 swiss fed inst t...
  • 85 篇 peng cheng lab p...
  • 81 篇 university of ch...
  • 80 篇 zhejiang univers...
  • 77 篇 shanghai ai lab ...
  • 77 篇 peng cheng labor...
  • 75 篇 university of sc...
  • 69 篇 shanghai jiao to...
  • 68 篇 shanghai jiao to...
  • 67 篇 alibaba grp peop...
  • 67 篇 stanford univ st...
  • 66 篇 univ hong kong p...
  • 64 篇 sensetime res pe...

作者

  • 77 篇 timofte radu
  • 63 篇 van gool luc
  • 45 篇 zhang lei
  • 36 篇 yang yi
  • 36 篇 luc van gool
  • 34 篇 tao dacheng
  • 31 篇 loy chen change
  • 29 篇 chen chen
  • 28 篇 sun jian
  • 28 篇 qi tian
  • 25 篇 li xin
  • 24 篇 liu yang
  • 24 篇 tian qi
  • 24 篇 ying shan
  • 23 篇 wang xinchao
  • 23 篇 zha zheng-jun
  • 23 篇 boxin shi
  • 21 篇 zhou jie
  • 21 篇 vasconcelos nuno
  • 20 篇 luo ping

语言

  • 12,851 篇 英文
  • 7 篇 其他
  • 1 篇 中文
检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops"
12859 条 记 录,以下是4861-4870 订阅
排序:
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
BasicVSR: The Search for Essential Components in Video Super...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chan, Kelvin C. K. Wang, Xintao Yu, Ke Dong, Chao Loy, Chen Change Nanyang Technol Univ S Lab Singapore Singapore Tencent PCG Appl Res Ctr Shenzhen Peoples R China Chinese Univ Hong Kong CUHK SenseTime Joint Lab Hong Kong Peoples R China Chinese Acad Sci SIAT SenseTime Joint Lab Shenzhen Key Lab Comp Vis & Pattern Recognit Shenzhen Inst Adv Technol Beijing Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc SIAT Branch Shenzhen Peoples R China
Video super-resolution (VSR) approaches tend to have more components than the image counterparts as they need to exploit the additional temporal dimension. Complex designs are not uncommon. In this study, we wish to u... 详细信息
来源: 评论
Debiased Subjective Assessment of Real-World Image Enhancement
Debiased Subjective Assessment of Real-World Image Enhanceme...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cao, Peibei Wang, Zhangyang Ma, Kede City Univ Hong Kong Hong Kong Peoples R China Univ Texas Austin Austin TX 78712 USA
In real-world image enhancement, it is often challenging (if not impossible) to acquire ground-truth data, preventing the adoption of distance metrics for objective quality assessment. As a result, one often resorts t... 详细信息
来源: 评论
NeRD: Neural 3D Reflection Symmetry Detector
NeRD: Neural 3D Reflection Symmetry Detector
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhou, Yichao Liu, Shichen Ma, Yi Univ Calif Berkeley Berkeley CA 94720 USA Univ Southern Calif Los Angeles CA 90089 USA
Recent advances have shown that symmetry, a structural prior that most objects exhibit, can support a variety of single-view 3D understanding tasks. However, detecting 3D symmetry from an image remains a challenging t... 详细信息
来源: 评论
Unsupervised Human Pose Estimation through Transforming Shape Templates
Unsupervised Human Pose Estimation through Transforming Shap...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Schmidtke, Luca Vlontzos, Athanasios Ellershaw, Simon Lukens, Anna Arichi, Tomoki Kainz, Bernhard Imperial Coll London London England Kings Coll London London England Evelina London Childrens Hosp London England
Human pose estimation is a major computer vision problem with applications ranging from augmented reality and video capture to surveillance and movement tracking. In the medical context, the latter may be an important... 详细信息
来源: 评论
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP f...
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Sidra Aleem Fangyijie Wang Mayug Maniparambil Eric Arazo Julia Dietlmeier Kathleen Curran Noel E. O’Connor Suzanne Little ML-Labs Dublin City University ML-Labs University College Dublin Centre for Applied AI (CeADAR) University College Dublin Ireland Insight SFI Centre for Data Analytics Dublin City University
The Segment Anything Model (SAM) and CLIP are remarkable vision foundation models (VFMs). SAM, a prompt-driven segmentation model, excels in segmentation tasks across diverse domains, while CLIP is renowned for its ze... 详细信息
来源: 评论
ACRE: Abstract Causal REasoning Beyond Covariation
ACRE: Abstract Causal REasoning Beyond Covariation
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Chi Jia, Baoxiong Edmonds, Mark Zhu, Song-Chun Zhu, Yixin UCLA Ctr Vis Cognit Learning & Auton Los Angeles CA 90095 USA
Causal induction, i.e., identifying unobservable mechanisms that lead to the observable relations among variables, has played a pivotal role in modern scientific discovery, especially in scenarios with only sparse and... 详细信息
来源: 评论
BABEL: Bodies, Action and Behavior with English Labels
BABEL: Bodies, Action and Behavior with English Labels
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Punnakkal, Abhinanda R. Chandrasekaran, Arjun Athanasiou, Nikos Quiros-Ramirez, Alejandra Black, Michael J. Max Planck Inst Intelligent Syst Tubingen Germany Univ Konstanz Constance Germany
Understanding the semantics of human movement - the what, how and why of the movement - is an important problem that requires datasets of human actions with semantic labels. Existing datasets take one of two approache... 详细信息
来源: 评论
Simple In-place Data Augmentation for Surveillance Object Detection
Simple In-place Data Augmentation for Surveillance Object De...
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Munkh-Erdene Otgonbold Ganzorig Batnasan Munkhjargal Gochoo Department of Computer Science and Software Engineering United Arab Emirates University UAE Department of Electronics Mongolian University of Science and Technology Mongolia Emirates Center for Mobility Research United Arab Emirates University UAE
Motivated by the need to improve model performance in traffic monitoring tasks with limited labeled samples, we propose a straightforward augmentation technique tailored for object detection datasets, specifically des... 详细信息
来源: 评论
TAME: Task Agnostic Continual Learning using Multiple Experts
TAME: Task Agnostic Continual Learning using Multiple Expert...
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Haoran Zhu Maryam Majzoubi Arihant Jain Anna Choromanska New York University Google
The goal of lifelong learning is to continuously learn from non-stationary distributions, where the non-stationarity is typically imposed by a sequence of distinct tasks. Prior works have mostly considered idealistic ... 详细信息
来源: 评论
Probing Conceptual Understanding of Large Visual-Language Models
Probing Conceptual Understanding of Large Visual-Language Mo...
收藏 引用
ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Madeline Schiappa Raiyaan Abdullah Shehreen Azad Jared Claypoole Michael Cogswell Ajay Divakaran Yogesh Rawat Center for Research in Computer Vision University of Central Florida SRI International
In recent years large visual-language (V+L) models have achieved great success in various downstream tasks. However, it is not well studied whether these models have a conceptual grasp of the visual content. In this w... 详细信息
来源: 评论