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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23228 条 记 录,以下是141-150 订阅
排序:
Evaluating Confidence Calibration in Endoscopic Diagnosis Models
Evaluating Confidence Calibration in Endoscopic Diagnosis Mo...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Dehghani, Nikoo Thijssen, Ayla van der Zander, Quirine E. W. Schreuder, Ramon-Michel Schoon, Erik J. van der Sommen, Fons de With, Peter H. N. Eindhoven Univ Technol Eindhoven Netherlands Maastricht Univ Med Ctr Maastricht Netherlands GROW Res Inst Oncol & Reprod Maastricht Netherlands Catharina Hosp Eindhoven Netherlands Eindhoven Artificial Intelligence Syst Inst Eindhoven Netherlands
Colorectal polyps are prevalent precursors to colorectal cancer, making their accurate characterization essential for timely intervention and patient outcomes. Deep learning-based computer-aided diagnosis (CADx) syste... 详细信息
来源: 评论
Towards 3D vision with Low-Cost Single-Photon Cameras
Towards 3D Vision with Low-Cost Single-Photon Cameras
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Mu, Fangzhou Sifferman, Carter Jungerman, Sacha Li, Yiquan Han, Mark Gleicher, Michael Gupta, Mohit Li, Yin Univ Wisconsin Madison WI 53706 USA
We present a method for reconstructing 3D shape of arbitrary Lambertian objects based on measurements by miniature, energy-efficient, low-cost single-photon cameras. These cameras, operating as time resolved image sen...
来源: 评论
BIOCLIP: A vision Foundation Model for the Tree of Life
BIOCLIP: A Vision Foundation Model for the Tree of Life
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Stevens, Samuel Wu, Jiaman Thompson, Matthew J. Campolongo, Elizabeth G. Song, Chan Hee Carlyle, David Edward Dong, Li Dahdul, Wasila M. Stewart, Charles Berger-Wolf, Tanya Chao, Wei-Lun Su, Yu Ohio State Univ Columbus OH 43210 USA Microsoft Res Mountain View CA USA Univ Calif Irvine Irvine CA USA Rensselaer Polytech Inst Troy NY USA
Images of the natural world, collected by a variety of cameras, from drones to individual phones, are increasingly abundant sources of biological information. There is an explosion of computational methods and tools, ... 详细信息
来源: 评论
GRAM: Global Reasoning for Multi-Page VQA
GRAM: Global Reasoning for Multi-Page VQA
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Blau, Tsachi Fogel, Sharon Ronen, Roi Goltst, Alona Per, Shahar Tsi Ben Avraham, Elad Aberdam, Aviad Ganz, Roy Litman, Ron Technion Haifa Israel AWS AI Labs Shanghai Peoples R China
The increasing use of transformer-based large language models brings forward the challenge of processing long sequences. In document visual question answering (DocVQA), leading methods focus on the single-page setting... 详细信息
来源: 评论
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization
ICON: Incremental CONfidence for Joint Pose and Radiance Fie...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Weiyao Gleize, Pierre Tang, Hao Chen, Xingyu Liang, Kevin J. Feiszli, Matt Meta FAIR Menlo Pk CA 94025 USA
Neural Radiance Fields (NeRF) exhibit remarkable performance for Novel View Synthesis (NVS) given a set of 2D images. However, NeRF training requires accurate camera pose for each input view, typically obtained by Str... 详细信息
来源: 评论
Projecting Trackable Thermal patterns for Dynamic computer vision
Projecting Trackable Thermal Patterns for Dynamic Computer V...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sheinin, Mark Sankaranarayanan, Aswin C. Narasimhan, Srinivasa G. Carnegie Mellon Univ Pittsburgh PA 15213 USA
Adding artificial patterns to objects, like QR codes, can ease tasks such as object tracking, robot navigation, and conveying information (e.g., a label or a website link). However, these patterns require a physical a... 详细信息
来源: 评论
ZInD-Tell: Towards Translating Indoor Panoramas into Descriptions
ZInD-Tell: Towards Translating Indoor Panoramas into Descrip...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Deb, Tonmoay Wang, Lichen Bessinger, Zachary Khosravan, Naji Penner, Eric Kang, Sing Bing Northwestern Univ Evanston IL 60208 USA Zillow Grp Seattle WA USA
This paper focuses on bridging the gap between natural language descriptions, 360 degrees panoramas, room shapes, and layouts/floorplans of indoor spaces. To enable new multimodal (image, geometry, language) research ... 详细信息
来源: 评论
Towards Engineered Safe AI with Modular Concept Models
Towards Engineered Safe AI with Modular Concept Models
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Heidemann, Lena Kurzidem, Iwo Monnet, Maureen Roscher, Karsten Guennemann, Stephan Fraunhofer IKS Munich Germany Tech Univ Munich Munich Germany
The inherent complexity and uncertainty of Machine Learning (ML) makes it difficult for ML-based computer vision (CV) approaches to become prevalent in safety-critical domains like autonomous driving, despite their hi... 详细信息
来源: 评论
Classifier Guided Cluster Density Reduction for Dataset Selection
Classifier Guided Cluster Density Reduction for Dataset Sele...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chang, Cheng Long, Keyu Li, Zijian Rai, Himanshu Layer 6 AI Toronto ON Canada
In this paper, we address the challenge of selecting an optimal dataset from a source pool with annotations to enhance performance on a target dataset derived from a different source. This is important in scenarios wh... 详细信息
来源: 评论
VicTR: Video-conditioned Text Representations for Activity recognition
VicTR: Video-conditioned Text Representations for Activity R...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kahatapitiya, Kumara Arnab, Anurag Nagrani, Arsha Ryoo, Michael S. SUNY Stony Brook Stony Brook NY 11794 USA Google Res Mountain View CA USA
vision-Language models (VLMs) have excelled in the image-domain- especially in zero-shot settings- thanks to the availability of vast pretraining data (i.e., paired image-text samples). However for videos, such paired... 详细信息
来源: 评论