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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22906 条 记 录,以下是4771-4780 订阅
排序:
VarifocalNet: An IoU-aware Dense Object Detector
VarifocalNet: An IoU-aware Dense Object Detector
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Haoyang Wang, Ying Dayoub, Feras Sunderhauf, Niko Queensland Univ Technol Australian Ctr Robot Vis Brisbane Qld Australia Univ Queensland Brisbane Qld Australia
Accurately ranking the vast number of candidate detections is crucial for dense object detectors to achieve high performance. Prior work uses the classification score or a combination of classification and predicted l... 详细信息
来源: 评论
Stability-driven Contact Reconstruction From Monocular Color Images
Stability-driven Contact Reconstruction From Monocular Color...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Zimeng Zuo, Binghui Xie, Wei Wang, Yangang Southeast Univ Nanjing Peoples R China
Physical contact provides additional constraints for hand-object state reconstruction as well as a basis for further understanding of interaction affordances. Estimating these severely occluded regions from monocular ... 详细信息
来源: 评论
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
HoHoNet: 360 Indoor Holistic Understanding with Latent Horiz...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sun, Cheng Sun, Min Chen, Hwann-Tzong Natl Tsing Hua Univ Hsinchu Taiwan ASUS AICS Dept Singapore Singapore Joint Res Ctr AI Technol & All Vista Healthcare Taipei Taiwan Aeolus Robot San Francisco CA USA
We present HoHoNet, a versatile and efficient framework for holistic understanding of an indoor 360-degree panorama using a Latent Horizontal Feature (LHFeat). The compact LHFeat flattens the features along the vertic... 详细信息
来源: 评论
SynSin: End-to-end View Synthesis from a Single Image
SynSin: End-to-end View Synthesis from a Single Image
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wiles, Olivia Gkioxari, Georgia Szeliski, Richard Johnson, Justin Univ Oxford Oxford England Facebook AI Res Berkeley CA USA Facebook Menlo Pk CA USA Univ Michigan Ann Arbor MI 48109 USA
View synthesis allows for the generation of new views of a scene given one or more images. This is challenging;it requires comprehensively understanding the 3D scene from images. As a result, current methods typically... 详细信息
来源: 评论
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
Improving Weakly Supervised Visual Grounding by Contrastive ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Liwei Huang, Jing Li, Yin Xu, Kun Yang, Zhengyuan Yu, Dong Chinese Univ Hong Kong Hong Kong Peoples R China Univ Illinois Champaign IL USA Univ Wisconsin Madison Madison WI USA Tencent AI Lab Bellevue WA USA Univ Rochester Rochester NY 14627 USA
Weakly supervised phrase grounding aims at learning region-phrase correspondences using only image-sentence pairs. A major challenge thus lies in the missing links between image regions and sentence phrases during tra... 详细信息
来源: 评论
3D CNNs with Adaptive Temporal Feature Resolutions
3D CNNs with Adaptive Temporal Feature Resolutions
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Fayyaz, Mohsen Bahrami, Emad Diba, Ali Noroozi, Mehdi Adeli, Ehsan Van Gool, Luc Gall, Juergen Univ Bonn Bonn Germany Katholieke Univ Leuven Leuven Belgium Bosch Ctr Artificial Intelligence Renningen Baden Wurttembe Germany Stanford Univ Stanford CA 94305 USA Swiss Fed Inst Technol Zurich Switzerland Univ Bonn Comp Vis Grp Bonn Germany
While state-of-the-art 3D Convolutional Neural Networks (CNN) achieve very good results on action recognition datasets, they are computationally very expensive and require many GFLOPs. While the GFLOPs of a 3D CNN can... 详细信息
来源: 评论
RegionGPT: Towards Region Understanding vision Language Model
RegionGPT: Towards Region Understanding Vision Language Mode...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Guo, Qiushan De Mello, Shalini Yin, Hongxu Byeon, Wonmin Cheung, Ka Chun Yu, Yizhou Luo, Ping Liu, Sifei Univ Hong Kong Hong Kong Peoples R China NVIDIA San Francisco CA USA
vision language models (VLMs) have experienced rapid advancements through the integration of large language models (LLMs) with image-text pairs, yet they struggle with detailed regional visual understanding due to lim...
来源: 评论
Representation Compensation Networks for Continual Semantic Segmentation
Representation Compensation Networks for Continual Semantic ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Chang-Bin Xiao, Jia-Wen Liu, Xialei Chen, Ying-Cong Cheng, Ming-Ming Nankai Univ CS TMCC Tianjin Peoples R China Hong Kong Univ Sci & Technol Guangzhou Guangzhou Peoples R China Hong Kong Univ Sci & Technol Hong Kong Peoples R China
In this work, we study the continual semantic segmentation problem, where the deep neural networks are required to incorporate new classes continually without catastrophic forgetting. We propose to use a structural re... 详细信息
来源: 评论
On the Robustness of Language Guidance for Low-Level vision Tasks: Findings from Depth Estimation
On the Robustness of Language Guidance for Low-Level Vision ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chatterjee, Agneet Gokhale, Tejas Baral, Chitta Yang, Yezhou Arizona State Univ Tempe AZ 85281 USA Univ Maryland Baltimore Cty Baltimore MD 21228 USA
Recent advances in monocular depth estimation have been made by incorporating natural language as additional guidance. Although yielding impressive results, the impact of the language prior, particularly in terms of g... 详细信息
来源: 评论
ViPLO: vision Transformer based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection
ViPLO: Vision Transformer based Pose-Conditioned Self-Loop G...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Park, Jeeseung Park, Jin-Woo Lee, Jong-Seok MAy I Inc Seoul South Korea Yonsei Univ Seoul South Korea
Human-Object Interaction (HOI) detection, which localizes and infers relationships between human and objects, plays an important role in scene understanding. Although two-stage HOI detectors have advantages of high ef... 详细信息
来源: 评论