咨询与建议

限定检索结果

文献类型

  • 4,653 篇 会议
  • 2 篇 期刊文献

馆藏范围

  • 4,655 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,715 篇 工学
    • 1,623 篇 计算机科学与技术...
    • 182 篇 软件工程
    • 142 篇 机械工程
    • 133 篇 光学工程
    • 41 篇 生物工程
    • 29 篇 信息与通信工程
    • 18 篇 电气工程
    • 9 篇 电子科学与技术(可...
    • 9 篇 化学工程与技术
    • 9 篇 交通运输工程
    • 8 篇 控制科学与工程
    • 8 篇 生物医学工程(可授...
    • 7 篇 安全科学与工程
    • 4 篇 材料科学与工程(可...
    • 4 篇 建筑学
    • 3 篇 土木工程
    • 3 篇 农业工程
  • 173 篇 理学
    • 135 篇 物理学
    • 42 篇 生物学
    • 30 篇 数学
    • 16 篇 统计学(可授理学、...
    • 10 篇 化学
    • 2 篇 大气科学
  • 14 篇 管理学
    • 7 篇 管理科学与工程(可...
    • 7 篇 图书情报与档案管...
    • 3 篇 工商管理
  • 10 篇 医学
    • 10 篇 临床医学
  • 5 篇 法学
    • 3 篇 社会学
    • 2 篇 法学
  • 3 篇 教育学
    • 3 篇 教育学
  • 2 篇 农学
  • 1 篇 经济学

主题

  • 2,867 篇 computer vision
  • 1,227 篇 training
  • 1,038 篇 pattern recognit...
  • 870 篇 computational mo...
  • 794 篇 conferences
  • 693 篇 visualization
  • 593 篇 three-dimensiona...
  • 469 篇 codes
  • 460 篇 benchmark testin...
  • 422 篇 semantics
  • 420 篇 computer archite...
  • 349 篇 accuracy
  • 301 篇 adaptation model...
  • 282 篇 feature extracti...
  • 267 篇 transformers
  • 242 篇 cameras
  • 225 篇 diffusion models
  • 223 篇 solid modeling
  • 214 篇 pipelines
  • 210 篇 measurement

机构

  • 72 篇 tsinghua univers...
  • 69 篇 zhejiang univers...
  • 58 篇 university of sc...
  • 57 篇 shanghai jiao to...
  • 52 篇 google research
  • 47 篇 nanyang technolo...
  • 44 篇 national univers...
  • 40 篇 shanghai ai labo...
  • 39 篇 university of ch...
  • 37 篇 adobe research
  • 37 篇 the university o...
  • 37 篇 the chinese univ...
  • 35 篇 stanford univers...
  • 34 篇 harbin institute...
  • 34 篇 shanghai artific...
  • 34 篇 carnegie mellon ...
  • 33 篇 university of el...
  • 30 篇 peng cheng labor...
  • 30 篇 sun yat-sen univ...
  • 29 篇 s-lab nanyang te...

作者

  • 75 篇 timofte radu
  • 24 篇 yu qiao
  • 22 篇 luc van gool
  • 19 篇 ying shan
  • 16 篇 van gool luc
  • 15 篇 radu timofte
  • 14 篇 xin li
  • 13 篇 li xin
  • 12 篇 chen chen
  • 12 篇 zhang zhao
  • 12 篇 boxin shi
  • 11 篇 lizhuang ma
  • 11 篇 fan haoqiang
  • 11 篇 loy chen change
  • 11 篇 zheng-jun zha
  • 11 篇 liu shuaicheng
  • 11 篇 kai zhang
  • 11 篇 marcos v. conde
  • 11 篇 chen wei-ting
  • 11 篇 ziwei liu

语言

  • 4,654 篇 英文
  • 1 篇 中文
检索条件"任意字段=2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024"
4655 条 记 录,以下是301-310 订阅
排序:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Liu, Xiaoning Wu, Zongwei Li, Ao Vasluianu, Florin-Alexandru Zhang, Yulun Gu, Shuhang Zhang, Le Zhu, Ce Timofte, Radu Jin, Zhi Wu, Hongjun Wang, Chenxi Ling, Haitao Cai, Yuanhao Bian, Hao Zheng, Yuxin Lin, Jing Yuille, Alan Shao, Ben Guo, Jin Liu, Tianli Wu, Mohao Feng, Yixu Hou, Shuo Lin, Haotian Zhu, Yu Wu, Peng Dong, Wei Sun, Jinqiu Zhang, Yanning Yan, Qingsen Zou, Wenbin Yang, Weipeng Li, Yunxiang Wei, Qiaomu Ye, Tian Chen, Sixiang Zhang, Zhao Zhao, Suiyi Wang, Bo Luo, Yan Zuo, Zhichao Wang, Mingshen Wang, Junhu Wei, Yanyan Sun, Xiaopeng Gao, Yu Huang, Jiancheng Chen, Hongming Chen, Xiang Tang, Hui Chen, Yuanbin Zhou, Yuanbo Dai, Xinwei Qiu, Xintao Deng, Wei Gao, Qinquan Tong, Tong Li, Mingjia Hu, Jin He, Xinyu Guo, Xiaojie Sabarinathan, Sabarinathan Uma, K. Sasithradevi, A. Bama, B. Sathya Roomi, S. Mohamed Mansoor Srivatsav, V Wang, Jinjuan Sun, Long Chen, Qiuying Shao, Jiahong Zhang, Yizhi Conde, Marcos, V Feijoo, Daniel Benito, Juan C. Garcia, Alvaro Lee, Jaeho Kim, Seongwan Sharif, S. M. A. Khujaev, Nodirkhuja Tsoy, Roman Murtaza, Ali Khairuddin, Uswah Faudzi, Ahmad 'Athif Mohd Malagi, Sampada Joshi, Amogh Akalwadi, Nikhil Desai, Chaitra Tabib, Ramesh Ashok Mudenagudi, Uma Lian, Wenyi Lian, Wenjing Kalyanshetti, Jagadeesh Aralikatti, Vijayalaxmi Ashok Yashaswini, Palani Upasi, Nitish Hegde, Dikshit Patil, Ujwala Sujata, C. Yan, Xingzhuo Hao, Wei Fu, Minghan Choksy, Pooja Sarvaiya, Anjali Upla, Kishor Raja, Kiran Yan, Hailong Zhang, Yunkai Li, Baiang Zhang, Jingyi Zheng, Huan Univ Elect Sci & Technol China Chengdu Peoples R China Univ Wurzburg Comp Vis Lab Wurzburg Germany Shanghai Jiao Tong Univ Shanghai Peoples R China Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland Sun Yat Sen Univ Sch Intelligent Syst Engn Shenzhen Campus Shenzhen 518107 Guangdong Peoples R China Guangdong Prov Key Lab Fire Sci & Technol Guangzhou 510006 Peoples R China Johns Hopkins Univ Baltimore MD USA Tsinghua Univ Beijing Peoples R China Zhejiang Dahua Technol Co Ltd Hangzhou Peoples R China Northwestern Polytech Univ Sch Comp Sci Xian Peoples R China Northwestern Polytech Univ Sch Software Xian Peoples R China Xian Univ Architecture & Technol Sch Comp Sci Xian Peoples R China South China Univ Technol Guangzhou Peoples R China Fuzhou Univ Fuzhou Peoples R China Chengdu Univ Informat Technol Chengdu Peoples R China Hong Kong Univ Sci & Technol Guangzhou Peoples R China Hefei Univ Technol Hefei Peoples R China Shenyang Aerosp Univ Shenyang Peoples R China Nanjing Univ Sci & Technol Nanjing Peoples R China Imperial Vis Technol Fuzhou Peoples R China Tianjin Univ Tianjin Peoples R China Couger Inc Yokohama Kanagawa Japan Sasi Inst Technol & Engn Tadepalligudem India Vellore Inst Technol Vellore Tamil Nadu India Thiagarajar Coll Engn Madurai India Coventry Univ Coventry W Midlands England Cidaut AI Valladolid Spain Univ Wurzburg CVLab Wurzburg Germany Opt AI Seoul South Korea Univ Teknol Malaysia Malaysia Japan Int Inst Technol MJIIT Kuala Lumpur Malaysia Univ Teknol Malaysia Ctr Artificial Intelligence & Robot CAIRO Kuala Lumpur Malaysia KLE Technol Univ Ctr Excellence Visual Intelligence CEVI Hubballi Karnataka India KLE Technol Univ Sch Elect & Commun Engn Hubballi Karnataka India KLE Technol Univ Sch Comp Sci & Engn Hubballi Karnataka India Uppsala Univ Uppsala Sweden Northeastern Univ Boston MA USA Bosch Investment Ltd London England Fortinet Inc Sunnyvale CA USA Univ Saskatchewan Saskatoon SK Canada Sard
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of gen... 详细信息
来源: 评论
Material Palette: Extraction of Materials from a Single Image
Material Palette: Extraction of Materials from a Single Imag...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lopes, Ivan Pizzati, Fabio de Charette, Raoul INRIA Paris France Univ Oxford Oxford England
Physically-Based Rendering (PBR) is key to modeling the interaction between light and materials, and finds extensive applications across computer graphics domains. However, acquiring PBR materials is costly and requir... 详细信息
来源: 评论
A Closer Look at the Few-Shot Adaptation of Large vision-Language Models
A Closer Look at the Few-Shot Adaptation of Large Vision-Lan...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Iguez, Julio Silva-Rodr Hajimiri, Sina Ben Ayed, Ismail Dolz, Jose ETS Montreal Montreal PQ Canada
Efficient transfer learning (ETL) is receiving increasing attention to adapt large pre-trained language-vision models on downstream tasks with a few labeled samples. While significant progress has been made, we reveal...
来源: 评论
Pre-trained vision and Language Transformers Are Few-Shot Incremental Learners
Pre-trained Vision and Language Transformers Are Few-Shot In...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Park, Keon-Hee Song, Kyungwoo Park, Gyeong-Moon Kyung Hee Univ Seoul South Korea Yonsei Univ Seoul South Korea
Few-Shot Class Incremental Learning (FSCIL) is a task that requires a model to learn new classes incrementally without forgetting when only a few samples for each class are given. FSCIL encounters two significant chal... 详细信息
来源: 评论
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangli...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jiang, Yankai Huang, Zhongzhen Zhang, Rongzhao Zhang, Xiaofan Zhang, Shaoting Shanghai AI Lab Shanghai Peoples R China Shanghai Jiao Tong Univ Shanghai Peoples R China SenseTime Res Shanghai Peoples R China
The long-tailed distribution problem in medical image analysis reflects a high prevalence of common conditions and a low prevalence of rare ones, which poses a significant challenge in developing a unified model capab... 详细信息
来源: 评论
TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process
TIGER: Time-Varying Denoising Model for 3D Point Cloud Gener...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ren, Zhiyuan Kim, Minchul Liu, Feng Liu, Xiaoming Michigan State Univ E Lansing MI 48824 USA
Recently, diffusion models have emerged as a new powerful generative method for 3D point cloud generation tasks. However, few works study the effect of the architecture of the diffusion model in the 3D point cloud, re... 详细信息
来源: 评论
SonicvisionLM: Playing Sound with vision Language Models
SonicVisionLM: Playing Sound with Vision Language Models
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xie, Zhifeng Yu, Shengye He, Qile Li, Mengtian Shanghai Univ Shanghai Peoples R China Shanghai Engn Res Ctr Mot Picture Special Effects Shanghai Peoples R China
There has been a growing interest in the task of generating sound for silent videos, primarily because of its practicality in streamlining video post-production. However, existing methods for video-sound generation at... 详细信息
来源: 评论
Instance-Aware Group Quantization for vision Transformers
Instance-Aware Group Quantization for Vision Transformers
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jaehyeon, Moon Kim, Dohyung Cheon, Junyong Ham, Bumsub Yonsei Univ Seoul South Korea Articron Bogota Colombia
Post-training quantization (PTQ) is an efficient model compression technique that quantizes a pretrained full-precision model using only a small calibration set of unlabeled samples without retraining. PTQ methods for... 详细信息
来源: 评论
Any-Shift Prompting for Generalization over Distributions
Any-Shift Prompting for Generalization over Distributions
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xiao, Zehao Shen, Jiayi Derakhshani, Mohammad Mandi Liao, Shengcai Snoek, Cees G. M. Univ Amsterdam Amsterdam Netherlands Core42 Abu Dhabi U Arab Emirates
Image-language models with prompt learning have shown remarkable advances in numerous downstream vision tasks. Nevertheless, conventional prompt learning methods overfit their training distribution and lose the genera... 详细信息
来源: 评论
The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective
The Audio-Visual Conversational Graph: From an Egocentric-Ex...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jia, Wenqi Liu, Miao Jiang, Hao Ananthabhotla, Ishwarya Rehg, James M. Ithapu, Vamsi Krishna Gao, Ruohan Georgia Tech Atlanta GA 30332 USA Meta Real Labs Menlo Pk CA 94025 USA UIUC Champaign IL USA Meta GenAI Menlo Pk CA USA
In recent years, the thriving development of research related to egocentric videos has provided a unique perspective for the study of conversational interactions, where both visual and audio signals play a crucial rol... 详细信息
来源: 评论