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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023"
3320 条 记 录,以下是3281-3290 订阅
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Detecting and Grounding Multi-Modal Media Manipulation
Detecting and Grounding Multi-Modal Media Manipulation
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conference on computer vision and pattern recognition (CVPR)
作者: Rui Shao Tianxing Wu Ziwei Liu School of Computer Science and Technology Harbin Institute of Technology (Shenzhen) S-Lab Nanyang Technological University
Misinformation has become a pressing issue. Fake media, in both visual and textual forms, is widespread on the web. While various deepfake detection and text fake news detection methods have been proposed, they are on...
来源: 评论
Similarity Metric Learning For RGB-Infrared Group Re-Identification
Similarity Metric Learning For RGB-Infrared Group Re-Identif...
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conference on computer vision and pattern recognition (CVPR)
作者: Jianghao Xiong Jianhuang Lai School of Computer Science and Engineering Sun Yat-Sen University China Guangdong Province Key Laboratory of Information Security Technology China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China Key Laboratory of Video and Image Intelligent Analysis and Applicaiton Technology Ministry of Public Security China
Group re-identification (G-ReID) aims to re-identify a group of people that is observed from non-overlapping camera systems. The existing literature has mainly addressed RGB-based problems, but RGB-infrared (RGB-IR) c...
来源: 评论
OReX: Object Reconstruction from Planar Cross-sections Using Neural Fields
OReX: Object Reconstruction from Planar Cross-sections Using...
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conference on computer vision and pattern recognition (CVPR)
作者: Haim Sawdayee Amir Vaxman Amit H. Bermano The Blavatnik School of Computer Science Tel Aviv University School of Informatics The University of Edinburgh
Reconstructing 3D shapes from planar cross-sections is a challenge inspired by downstream applications like medical imaging and geographic informatics. The input is an in/out indicator function fully defined on a spar...
来源: 评论
ALOFT: A Lightweight MLP-Like Architecture with Dynamic Low-Frequency Transform for Domain Generalization
ALOFT: A Lightweight MLP-Like Architecture with Dynamic Low-...
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conference on computer vision and pattern recognition (CVPR)
作者: Jintao Guo Na Wang Lei Qi Yinghuan Shi State Key Laboratory for Novel Software Technology Nanjing University National Institute of Healthcare Data Science Nanjing University School of Computer Science and Engineering Southeast University
Domain generalization (DG) aims to learn a model that generalizes well to unseen target domains utilizing multiple source domains without re-training. Most existing DG works are based on convolutional neural networks ...
来源: 评论
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
Self-Supervised 3D Scene Flow Estimation Guided by Superpoin...
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conference on computer vision and pattern recognition (CVPR)
作者: Yaqi Shen Le Hui Jin Xie Jian Yang PCA Lab Nanjing University of Science and Technology Nanjing China PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology China
3D scene flow estimation aims to estimate point-wise motions between two consecutive frames of point clouds. Superpoints, i.e., points with similar geometric features, are usually employed to capture similar motions o...
来源: 评论
Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation
Robust Model-based Face Reconstruction through Weakly-Superv...
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conference on computer vision and pattern recognition (CVPR)
作者: Chunlu Li Andreas Morel-Forster Thomas Vetter Bernhard Egger Adam Kortylewski School of Automation Southeast University Department of Mathematics and Computer Science University of Basel Friedrich-Alexander-Universitat Erlangen-Nurnberg University of Freiburg Max Planck Institute for Informatics
In this work, we aim to enhance model-based face reconstruction by avoiding fitting the model to outliers, i.e. regions that cannot be well-expressed by the model such as occluders or makeup. The core challenge for lo...
来源: 评论
RONO: Robust Discriminative Learning with Noisy Labels for 2D-3D Cross-Modal Retrieval
RONO: Robust Discriminative Learning with Noisy Labels for 2...
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conference on computer vision and pattern recognition (CVPR)
作者: Yanglin Feng Hongyuan Zhu Dezhong Peng Xi Peng Peng Hu College of Computer Science Sichuan University Institute for Infocomm Research (I2R) A*STAR Singapore Sichuan Zhiqian Technology Co. Ltd Chengdu Ruibei Yingte Information Technology Co. Ltd
Recently, with the advent of Metaverse and AI Generated Content, cross-modal retrieval becomes popular with a burst of 2D and 3D data. However, this problem is challenging given the heterogeneous structure and semanti...
来源: 评论
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual...
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conference on computer vision and pattern recognition (CVPR)
作者: Yiting Cheng Fangyun Wei Jianmin Bao Dong Chen Wenqiang Zhang School of Computer Science Fudan University Microsoft Research Asia
This work focuses on sign language retrieval—a recently proposed task for sign language understanding. Sign language retrieval consists of two sub-tasks: text-to-sign-video (T2V) retrieval and sign-video-to-text (V2T...
来源: 评论
Hint-Aug: Drawing Hints from Foundation vision Transformers towards Boosted Few-shot Parameter-Efficient Tuning
Hint-Aug: Drawing Hints from Foundation Vision Transformers ...
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conference on computer vision and pattern recognition (CVPR)
作者: Zhongzhi Yu Shang Wu Yonggan Fu Shunyao Zhang Yingyan Celine Lin Georgia Institute of Technology Rice University
Despite the growing demand for tuningfoundation vision transformers (FViTs) on downstream tasks, fully unleashing FViTs' potential under data-limited scenarios (e.g., few-shot tuning) remains a challenge due to FV...
来源: 评论
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at vision Transformer Inference
Castling-ViT: Compressing Self-Attention via Switching Towar...
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conference on computer vision and pattern recognition (CVPR)
作者: Haoran You Yunyang Xiong Xiaoliang Dai Bichen Wu Peizhao Zhang Haoqi Fan Peter Vajda Yingyan Celine Lin Georgia Institute of Technology Meta Research
vision Transformers (ViTs) have shown impressive per-formance but still require a high computation cost as compared to convolutional neural networks (CNNs), one rea-son is that ViTs' attention measures global simi...
来源: 评论