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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23198 条 记 录,以下是221-230 订阅
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Robust and Online Vehicle Counting at Crowded Intersections
Robust and Online Vehicle Counting at Crowded Intersections
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lu, Jincheng Xia, Meng Gao, Xu Yang, Xipeng Tao, Tianran Meng, Hao Zhang, Wei Tan, Xiao Shi, Yifeng Li, Guanbin Ding, Errui
In this paper, we propose an online movement-specific vehicle counting system to realize robust traffic flow analysis at crowded intersections. Our proposed framework adopts PP-YOLO as the vehicle detector and adapts ... 详细信息
来源: 评论
SomethingFinder: Localizing undefined regions using referring expressions
SomethingFinder: Localizing undefined regions using referrin...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Eum, Sungmin Han, David Briggs, Gordon US Army Res Lab Adelphi MD 20783 USA Booz Allen Hamilton Mclean VA 22102 USA US Naval Res Lab Washington DC USA
Previous research on localizing a target region in an image referred to by a natural language expression has occurred within an object-centric paradigm. However, in practice, there may not be any easily named or ident... 详细信息
来源: 评论
Self Texture Transfer Networks for Low Bitrate Image Compression
Self Texture Transfer Networks for Low Bitrate Image Compres...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Iwai, Shoma Miyazaki, Tomo Sugaya, Yoshihiro Omachi, Shinichiro Tohoku Univ Grad Sch Engn Dept Commun Sendai Miyagi Japan
Lossy image compression causes a loss of texture, especially at low bitrate. To mitigate this problem, we propose a novel image compression method that utilizes a reference-based image super-resolution model. We use t... 详细信息
来源: 评论
User-Guided Variable Rate Learned Image Compression
User-Guided Variable Rate Learned Image Compression
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gupta, Rushil Suryateja, B., V Kapoor, Nikhil Jaiswal, Rajat Nangi, Sharmila Kulkarni, Kuldeep Adobe Res Bengaluru India Indian Inst Technol Delhi Delhi India Stanford Univ Stanford CA 94305 USA
We propose a learning-based image compression method that achieves any arbitrary input bitrate via user-guided bit allocation to preferred regions. We verify our hypothesis of incorporating user guidance for bitrate c... 详细信息
来源: 评论
Rank in Style: A Ranking-based Approach to Find Interpretable Directions
Rank in Style: A Ranking-based Approach to Find Interpretabl...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kocasari, Umut Zaman, Kerem Tiftikci, Mert Simsar, Enis Yanardag, Pinar Bogazici Univ Istanbul Turkey TUM Munich Germany
Recent work such as StyleCLIP aims to harness the power of CLIP embeddings for controlled manipulations. Although these models are capable of manipulating images based on a text prompt, the success of the manipulation... 详细信息
来源: 评论
Robustness and Adaptation to Hidden Factors of Variation
Robustness and Adaptation to Hidden Factors of Variation
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Paul, William Burlina, Philippe Johns Hopkins Univ Appl Phys Lab Laurel MD 20723 USA
We tackle here a specific, still not widely addressed aspect, of AI robustness, which consists of seeking invariance / insensitivity of model performance to hidden factors of variations in the data. Towards this end, ... 详细信息
来源: 评论
Fast Solvers for Minimal Radial Distortion Relative Pose Problems
Fast Solvers for Minimal Radial Distortion Relative Pose Pro...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Oskarsson, Magnus Lund Univ Ctr Math Sci Lund Sweden
In this paper we present a unified formulation for a large class of relative pose problems with radial distortion and varying calibration. For minimal cases, we show that one can eliminate the number of parameters dow... 详细信息
来源: 评论
Scalable and Explainable Outfit Generation
Scalable and Explainable Outfit Generation
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lorbert, Alexander Neiman, David Poznanski, Arik Oks, Eduard Davis, Larry Amazon Seattle WA 98109 USA
We present an end-to-end system for learning outfit recommendations. The core problem we address is how a customer can receive clothing/accessory recommendations based on a current outfit and what type of item the cus... 详细信息
来源: 评论
Improved Cooperative Stereo Matching for Dynamic vision Sensors with Ground Truth Evaluation  30
Improved Cooperative Stereo Matching for Dynamic Vision Sens...
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30th ieee/CVF conference on computer vision and pattern recognition workshops (CVPRW)
作者: Piatkowska, Ewa Kogler, Juergen Belbachir, Ahmed Nabil Gelautz, Margrit AIT Vienna Austria Vienna Univ Technol Vienna Austria Teknova AS Grimstad Norway
Event-based vision, as realized by bio-inspired Dynamic vision Sensors (DVS), is gaining more and more popularity due to its advantages of high temporal resolution, wide dynamic range and power efficiency at the same ... 详细信息
来源: 评论
Active vision Dataset Benchmark  31
Active Vision Dataset Benchmark
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ammirato, Phil Berg, Alexander C. Kosecka, Jana Univ N Carolina Chapel Hill NC 27514 USA George Mason Univ Fairfax VA 22030 USA
Several recent efforts in computer vision indicate a trend toward studying and understanding problems in larger scale environments, beyond single images, and focus on connections to tasks in navigation, mobile manipul... 详细信息
来源: 评论