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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000"
19489 条 记 录,以下是4791-4800 订阅
排序:
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation
Rethinking the Heatmap Regression for Bottom-up Human Pose E...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Luo, Zhengxiong Wang, Zhicheng Huang, Yan Wang, Liang Tan, Tieniu Zhou, Erjin Megvii Inc Beijing Peoples R China Univ Chinese Acad Sci UCAS Beijing Peoples R China Natl Lab Pattern Recognit NLPR Ctr Res Intelligent Percept & Comp CRIPAC Beijing Peoples R China Chinese Acad Sci CASIA Inst Automat Beijing Peoples R China MEGVII Res Beijing Peoples R China
Heatmap regression has become the most prevalent choice for nowadays human pose estimation methods. The ground-truth heatmaps are usually constructed via covering all skeletal keypoints by 2D gaussian kernels. The sta... 详细信息
来源: 评论
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
Optimization-Inspired Cross-Attention Transformer for Compre...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Song, Jiechong Mou, Chong Wang, Shiqi Ma, Siwei Zhang, Jian Peking Univ Shenzhen Grad Sch Shenzhen Peoples R China City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China Peking Univ Sch Comp Sci Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China
By integrating certain optimization solvers with deep neural networks, deep unfolding network (DUN) with good interpretability and high performance has attracted growing attention in compressive sensing (CS). However,... 详细信息
来源: 评论
An Iterative and Cooperative Top-down and Bottom-up Inference Network for Salient Object Detection  32
An Iterative and Cooperative Top-down and Bottom-up Inferenc...
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32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wang, Wenguan Shen, Jianbing Cheng, Ming-Ming Shao, Ling Incept Inst Artificial Intelligence Abu Dhabi U Arab Emirates Nankai Univ CS Tianjin Peoples R China
This paper presents a salient object detection method that integrates both top-down and bottom-up saliency inference in an iterative and cooperative manner. The top-down process is used for coarse-to-fine saliency est... 详细信息
来源: 评论
Label-Free Liver Tumor Segmentation
Label-Free Liver Tumor Segmentation
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Hu, Qixin Chen, Yixiong Xiao, Junfei Sun, Shuwen Chen, Jieneng Yuille, Alan Zhou, Zongwei Huazhong Univ Sci & Technol Wuhan Peoples R China Chinese Univ Hong Kong Shenzhen Shenzhen Peoples R China Johns Hopkins Univ Baltimore MD USA Nanjing Med Univ Affiliated Hosp 1 Nanjing Peoples R China
We demonstrate that AI models can accurately segment liver tumors without the need for manual annotation by using synthetic tumors in CT scans. Our synthetic tumors have two intriguing advantages: (I) realistic in sha... 详细信息
来源: 评论
Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer
Efficient Two-Stage Detection of Human-Object Interactions w...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Frederic Z. Campbell, Dylan Gould, Stephen Australian Natl Univ Canberra ACT Australia Univ Oxford Oxford England Australian Ctr Robot Vis Brisbane Qld Australia
Recent developments in transformer models for visual data have led to significant improvements in recognition and detection tasks. In particular, using learnable queries in place of region proposals has given rise to ... 详细信息
来源: 评论
Transitional Adaptation of Pretrained Models for Visual Storytelling
Transitional Adaptation of Pretrained Models for Visual Stor...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Yu, Youngjae Chung, Jiwan Yun, Heeseung Kim, Jongseok Kim, Gunhee Allen Inst AI Seattle WA 98103 USA Seoul Natl Univ Seoul South Korea Violet Seoul South Korea
Previous models for vision-to-language generation tasks usually pretrain a visual encoder and a language generator in the respective domains and jointly finetune them with the target task. However, this direct transfe... 详细信息
来源: 评论
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints  32
SoPhie: An Attentive GAN for Predicting Paths Compliant to S...
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32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Sadeghian, Amir Kosaraju, Vineet Sadeghian, Ali Hirose, Noriaki Rezatofighi, S. Hamid Savarese, Silvio Stanford Univ Stanford CA 94305 USA Aibee Inc Beijing Peoples R China Univ Florida Gainesville FL 32611 USA Univ Adelaide Adelaide SA Australia
This paper addresses the problem of path prediction for multiple interacting agents in a scene, which is a crucial step for many autonomous platforms such as self-driving cars and social robots. We present SoPhie;an i... 详细信息
来源: 评论
Revisiting the "Video" in Video-Language Understanding
Revisiting the "Video" in Video-Language Understanding
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Buch, Shyamal Eyzaguirre, Cristobal Gaidon, Adrien Wu, Jiajun Li Fei-Fei Niebles, Juan Carlos Stanford Univ Stanford CA 94305 USA Toyota Res Inst Stanford CA USA
What makes a video task uniquely suited for videos, beyond what can be understood from a single image? Building on recent progress in self-supervised image-language models, we revisit this question in the context of v... 详细信息
来源: 评论
Learning to Exploit Temporal Structure for Biomedical vision-Language Processing
Learning to Exploit Temporal Structure for Biomedical Vision...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Bannur, Shruthi Hyland, Stephanie Liu, Qianchu Perez-Garcia, Fernando Ilse, Maximilian Castro, Daniel C. Boecking, Benedikt Sharma, Harshita Bouzid, Kenza Thieme, Anja Schwaighofer, Anton Wetscherek, Maria Lungren, Matthew P. Nori, Aditya Alvarez-Valle, Javier Oktay, Ozan Microsoft Hlth Futures Redmond WA 98052 USA
Self-supervised learning in vision-language processing (VLP) exploits semantic alignment between imaging and text modalities. Prior work in biomedical VLP has mostly relied on the alignment of single image and report ... 详细信息
来源: 评论
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning  32
CANet: Class-Agnostic Segmentation Networks with Iterative R...
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32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Chi Lin, Guosheng Liu, Fayao Yao, Rui Shen, Chunhua Nanyang Technol Univ Singapore Singapore Univ Adelaide Adelaide SA Australia China Univ Min & Technol Beijing Peoples R China
Recent progress in semantic segmentation is driven by deep Convolutional Neural Networks and large-scale labeled image datasets. However, data labeling for pixel-wise segmentation is tedious and costly. Moreover, a tr... 详细信息
来源: 评论