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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3221-3230 订阅
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LidarGait: Benchmarking 3D Gait recognition with Point Clouds
LidarGait: Benchmarking 3D Gait Recognition with Point Cloud...
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conference on computer vision and pattern recognition (CVPR)
作者: Chuanfu Shen Fan Chao Wei Wu Rui Wang George Q. Huang Shiqi Yu Department of Industrial and Manufacturing Systems Engineering The University of Hong Kong Department of Computer Science and Engineering Southern University of Science and Technology Research Institute of Trustworthy Autonomous System Southern University of Science and Technology Department of Industrial and Systems Engineering The Hong Kong Polytechnic University
Video-based gait recognition has achieved impressive results in constrained scenarios. However, visual cameras neglect human 3D structure information, which limits the feasibility of gait recognition in the 3D wild wo...
来源: 评论
Prompting Large Language Models with Answer Heuristics for Knowledge-Based Visual Question Answering
Prompting Large Language Models with Answer Heuristics for K...
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conference on computer vision and pattern recognition (CVPR)
作者: Zhenwei Shao Zhou Yu Meng Wang Jun Yu Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University China School of Computer Science and Information Engineering Hefei University of Technology China
Knowledge-based visual question answering (VQA) requires external knowledge beyond the image to answer the question. Early studies retrieve required knowledge from explicit knowledge bases (KBs), which often introduce...
来源: 评论
Level-S2fM: Structure from Motion on Neural Level Set of Implicit Surfaces
Level-S2fM: Structure from Motion on Neural Level Set of Imp...
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conference on computer vision and pattern recognition (CVPR)
作者: Yuxi Xiao Nan Xue Tianfu Wu Gui-Song Xia School of Computer Science Wuhan University Department of ECE NC State University
This paper presents a neural incremental Structure-from-Motion (SfM) approach, Level-S 2 fM, which estimates the camera poses and scene geometry from a set of uncalibrated images by learning coordinate MLPs for the im...
来源: 评论
Backdoor Defense via Deconfounded Representation Learning
Backdoor Defense via Deconfounded Representation Learning
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conference on computer vision and pattern recognition (CVPR)
作者: Zaixi Zhang Qi Liu Zhicai Wang Zepu Lu Qingyong Hu Anhui Province Key Lab of Big Data Analysis and Application School of Computer Science and Technology University of Science and Technology of China State Key Laboratory of Cognitive Intelligence Hefei Anhui China University of Science and Technology of China Hong Kong University of Science and Technology
Deep neural networks (DNNs) are recently shown to be vulnerable to backdoor attacks, where attackers embed hidden backdoors in the DNN model by injecting a few poisoned examples into the training dataset. While extens...
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Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
Promoting Semantic Connectivity: Dual Nearest Neighbors Cont...
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conference on computer vision and pattern recognition (CVPR)
作者: Yuchen Liu Yaoming Wang Yabo Chen Wenrui Dai Chenglin Li Junni Zou Hongkai Xiong Department of Electronic Engineering Shanghai Jiao Tong University China Department of Computer Science and Engineering Shanghai Jiao Tong University China
Domain Generalization (DG) has achieved great success in generalizing knowledge from source domains to unseen target domains. However, current DG methods rely heavily on labeled source data, which are usually costly a...
来源: 评论
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
Out-of-Candidate Rectification for Weakly Supervised Semanti...
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conference on computer vision and pattern recognition (CVPR)
作者: Zesen Cheng Pengchong Qiao Kehan Li Siheng Li Pengxu Wei Xiangyang Ji Li Yuan Chang Liu Jie Chen School of Electronic and Computer Engineering Peking University Shenzhen China AI for Science (AI4S)-Preferred Program Peking University Shenzhen Graduate School China Peng Cheng Laboratory Shenzhen China Tsinghua University Sun Yat-Sen University
Weakly supervised semantic segmentation is typically inspired by class activation maps, which serve as pseudo masks with class-discriminative regions highlighted. Although tremendous efforts have been made to recall p...
来源: 评论
Masked Wavelet Representation for Compact Neural Radiance Fields
Masked Wavelet Representation for Compact Neural Radiance Fi...
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conference on computer vision and pattern recognition (CVPR)
作者: Daniel Rho Byeonghyeon Lee Seungtae Nam Joo Chan Lee Jong Hwan Ko Eunbyung Park AI2XL KT Department of Artificial Intelligence Sungkyunkwan University Department of Electrical and Computer Engineering Sungkyunkwan University
Neural radiance fields (NeRF) have demonstrated the potential of coordinate-based neural representation (neural fields or implicit neural representation) in neural rendering. However, using a multi-layer perceptron (M...
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Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark
Ultra-High Resolution Segmentation with Ultra-Rich Context: ...
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conference on computer vision and pattern recognition (CVPR)
作者: Deyi Ji Feng Zhao Hongtao Lu Mingyuan Tao Jieping Ye University of Science and Technology of China Alibaba Group Department of Computer Science and Engineering Shanghai Jiao Tong University MOE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University
With the increasing interest and rapid development of methods for Ultra-High Resolution (UHR) segmentation, a large-scale benchmark covering a wide range of scenes with full fine-grained dense annotations is urgently ...
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Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video
Mutual Information-Based Temporal Difference Learning for Hu...
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conference on computer vision and pattern recognition (CVPR)
作者: Runyang Feng Yixing Gao Xueqing Ma Tze Ho Elden Tse Hyung Jin Chang School of Artificial Intelligence Jilin University Ministry of Education Engineering Research Center of Knowledge-Driven Human-Machine Intelligence China School of Computer Science University of Birmingham
Temporal modeling is crucial for multi-frame human pose estimation. Most existing methods directly employ optical flow or deformable convolution to predict full-spectrum motion fields, which might incur numerous irrel...
来源: 评论
Semi-DETR: Semi-Supervised Object Detection with Detection Transformers
Semi-DETR: Semi-Supervised Object Detection with Detection T...
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conference on computer vision and pattern recognition (CVPR)
作者: Jiacheng Zhang Xiangru Lin Wei Zhang Kuo Wang Xiao Tan Junyu Han Errui Ding Jingdong Wang Guanbin Li School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Department of Computer Vision Technology (VIS) Baidu Inc. China Research Institute Sun Yat-sen University Shenzhen China
We analyze the DETR-based framework on semi-supervised object detection (SSOD) and observe that (1) the one-to-one assignment strategy generates incorrect matching when the pseudo ground-truth bounding box is inaccura...
来源: 评论