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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22886 条 记 录,以下是4681-4690 订阅
排序:
GM-DETR: Generalized Muiltispectral DEtection TRansformer with Efficient Fusion Encoder for Visible-Infrared Detection
GM-DETR: Generalized Muiltispectral DEtection TRansformer wi...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Yiming Xiao Fanman Meng Qingbo Wu Linfeng Xu Mingzhou He Hongliang Li University of Electronic Science and Technology of China China
Multispectral object detection based on RGB and IR achieves improved accurate and robust performance by integrating complementary information from different modalities. However, existing methods predominantly focus on... 详细信息
来源: 评论
Detecting Human-Object Interaction via Fabricated Compositional Learning
Detecting Human-Object Interaction via Fabricated Compositio...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hou, Zhi Yu, Baosheng Qiao, Yu Peng, Xiaojiang Tao, Dacheng Univ Sydney Fac Engn Sch Comp Sci Sydney NSW Australia Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China Shanghai AI Lab Shanghai Peoples R China Shenzhen Technol Univ Shenzhen Peoples R China
Human-Object Interaction (HOI) detection, inferring the relationships between human and objects from images/videos, is a fundamental task for high-level scene understanding. However, HOI detection usually suffers from... 详细信息
来源: 评论
Neural Fields for Co-Reconstructing 3D Objects from Incidental 2D Data
Neural Fields for Co-Reconstructing 3D Objects from Incident...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Dylan Campbell Eldar Insafutdinov João F. Henriques Andrea Vedaldi Australian National University University of Oxford
We ask whether 3D objects can be reconstructed from real world data collected for some other purpose, such as autonomous driving or augmented reality, thus inferring objects only incidentally. 3D reconstruction from i... 详细信息
来源: 评论
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for I...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ghiasi, Golnaz Cui, Yin Srinivas, Aravind Qian, Rui Lin, Tsung-Yi Cubuk, Ekin D. Le, Quoc, V Zoph, Barret Google Res Brain Team Mountain View CA 94043 USA Univ Calif Berkeley Berkeley CA USA Cornell Univ Ithaca NY 14853 USA Google Res Mountain View CA USA
Building instance segmentation models that are data-efficient and can handle rare object categories is an important challenge in computer vision. Leveraging data augmentations is a promising direction towards addressi... 详细信息
来源: 评论
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
CoCosNet v2: Full-Resolution Correspondence Learning for Ima...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhou, Xingran Zhang, Bo Zhang, Ting Zhang, Pan Bao, Jianmin Chen, Dong Zhang, Zhongfei Wen, Fang Zhejiang Univ Hangzhou Zhejiang Peoples R China Microsoft Res Asia Beijing Peoples R China SUNY Binghamton Binghamton NY 13902 USA USTC Hefei Anhui Peoples R China
We present the full-resolution correspondence learning for cross-domain images, which aids image translation. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. A... 详细信息
来源: 评论
Affordance Transfer Learning for Human-Object Interaction Detection
Affordance Transfer Learning for Human-Object Interaction De...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hou, Zhi Yu, Baosheng Qiao, Yu Peng, Xiaojiang Tao, Dacheng Univ Sydney Fac Engn Sch Comp Sci Sydney NSW Australia Chinese Acad Sci Shenzhen Inst Adv Technol Beijing Peoples R China Shanghai AI Lab Shanghai Peoples R China Shenzhen Technol Univ Shenzhen Peoples R China
Reasoning the human-object interactions (HOI) is essential for deeper scene understanding, while object affordances (or functionalities) are of great importance for human to discover unseen HOIs with novel objects. In... 详细信息
来源: 评论
Invertible Denoising Network: A Light Solution for Real Noise Removal
Invertible Denoising Network: A Light Solution for Real Nois...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Yang Qin, Zhenyue Anwar, Saeed Ji, Pan Kim, Dongwoo Caldwell, Sabrina Gedeon, Tom Australian Natl Univ Canberra ACT Australia CSIRO Data61 Canberra ACT Australia OPPO US Res Palo Alto CA USA GSAI POSTECH Pohang South Korea
Invertible networks have various benefits for image denoising since they are lightweight, information-lossless, and memory-saving during back-propagation. However, applying invertible models to remove noise is challen... 详细信息
来源: 评论
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
Style-based Point Generator with Adversarial Rendering for P...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xie, Chulin Wang, Chuxin Zhang, Bo Yang, Hao Chen, Dong Wen, Fang Univ Illinois Champaign IL 61820 USA Univ Sci & Technol China Hefei Anhui Peoples R China Microsoft Res Asia Beijing Peoples R China
In this paper, we proposed a novel Style-based Point Generator with Adversarial Rendering (SpareNet) for point cloud completion. Firstly, we present the channel-attentive EdgeConv to fully exploit the local structures... 详细信息
来源: 评论
High Quality Reference Feature for Two Stage Bracketing Image Restoration and Enhancement
High Quality Reference Feature for Two Stage Bracketing Imag...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Xiaoxia Xing HyunHee Park Fan Wang Ying Zhang Sejun Song Changho Kim Xiangyu Kong Samsung R&D Institute China-Beijing Department of Camera Innovation Group Samsung Electronics
In a low-light environment, it is difficult to obtain high-quality or high-resolution images with sharp details and high dynamic range (HDR) without noise or blur. To solve this problem, the Bracketing Image Restorati... 详细信息
来源: 评论
Image-to-image Translation via Hierarchical Style Disentanglement
Image-to-image Translation via Hierarchical Style Disentangl...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Xinyang Zhang, Shengchuan Hu, Jie Cao, Liujuan Hong, Xiaopeng Mao, Xudong Huang, Feiyue Wu, Yongjian Ji, Rongrong Xiamen Univ Sch Informat Xiamen Peoples R China Xi An Jiao Tong Univ Xian Peoples R China Peng Cheng Lab Shenzhen Peoples R China Xiamen Univ Tencent Youtu Lab Xiamen Peoples R China Xiamen Univ Inst Artificial Intelligence Xiamen Peoples R China
Recently, image-to-image translation has made significant progress in achieving both multi-label (i.e., translation conditioned on different labels) and multi-style (i.e., generation with diverse styles) tasks. Howeve... 详细信息
来源: 评论