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A survey of advances in vision-based human motion capture and analysis
Moeslund, Thomas B., Hilton, Adrian, Krüger, Volker
Published in Computer vision and image understanding (01.11.2006)
Published in Computer vision and image understanding (01.11.2006)
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DSDNet: Toward single image deraining with self-paced curricular dual stimulations
Du, Yong, Deng, Junjie, Zheng, Yulong, Dong, Junyu, He, Shengfeng
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Indoor Synthetic Data Generation: A Systematic Review
Schieber, Hannah, Demir, Kubilay Can, Kleinbeck, Constantin, Yang, Seung Hee, Roth, Daniel
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Image semantic segmentation of indoor scenes: A survey
Velastegui, Ronny, Tatarchenko, Maxim, Karaoglu, Sezer, Gevers, Theo
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Frame-level refinement networks for skeleton-based gait recognition
Wang, Likai, Chen, Jinyan, Liu, Yuxin
Published in Computer vision and image understanding (01.09.2022)
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Transformer-based assignment decision network for multiple object tracking
Psalta, Athena, Tsironis, Vasileios, Karantzalos, Konstantinos
Published in Computer vision and image understanding (01.04.2024)
Published in Computer vision and image understanding (01.04.2024)
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Hierarchical structure-and-motion recovery from uncalibrated images
Toldo, Roberto, Gherardi, Riccardo, Farenzena, Michela, Fusiello, Andrea
Published in Computer vision and image understanding (01.11.2015)
Published in Computer vision and image understanding (01.11.2015)
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Transformer fusion for indoor RGB-D semantic segmentation
Wu, Zongwei, Zhou, Zhuyun, Allibert, Guillaume, Stolz, Christophe, Demonceaux, Cédric, Ma, Chao
Published in Computer vision and image understanding (01.12.2024)
Published in Computer vision and image understanding (01.12.2024)
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End-to-end deep learning-based fringe projection framework for 3D profiling of objects
Machineni, Rakesh Chowdary, Spoorthi, G.E., Vengala, Krishna Sumanth, Gorthi, Subrahmanyam, Gorthi, Rama Krishna Sai S.
Published in Computer vision and image understanding (01.10.2020)
Published in Computer vision and image understanding (01.10.2020)
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Multimodal attention networks for low-level vision-and-language navigation
Landi, Federico, Baraldi, Lorenzo, Cornia, Marcella, Corsini, Massimiliano, Cucchiara, Rita
Published in Computer vision and image understanding (01.09.2021)
Published in Computer vision and image understanding (01.09.2021)
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Visual complexity analysis using deep intermediate-layer features
Saraee, Elham, Jalal, Mona, Betke, Margrit
Published in Computer vision and image understanding (01.06.2020)
Published in Computer vision and image understanding (01.06.2020)
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An evaluation of crowd counting methods, features and regression models
Ryan, David, Denman, Simon, Sridharan, Sridha, Fookes, Clinton
Published in Computer vision and image understanding (01.01.2015)
Published in Computer vision and image understanding (01.01.2015)
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Adaptive CNN filter pruning using global importance metric
Mondal, Milton, Das, Bishshoy, Roy, Sumantra Dutta, Singh, Pushpendra, Lall, Brejesh, Joshi, Shiv Dutt
Published in Computer vision and image understanding (01.09.2022)
Published in Computer vision and image understanding (01.09.2022)
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Recognizing facial expressions based on pyramid multi-head grid and spatial attention network
Zhang, Jianyang, Wang, Wei, Li, Xiangyu, Han, Yanjiang
Published in Computer vision and image understanding (01.07.2024)
Published in Computer vision and image understanding (01.07.2024)
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Skeleton Cluster Tracking for robust multi-view multi-person 3D human pose estimation
Niu, Zehai, Lu, Ke, Xue, Jian, Wang, Jinbao
Published in Computer vision and image understanding (01.09.2024)
Published in Computer vision and image understanding (01.09.2024)
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View consistency aware holistic triangulation for 3D human pose estimation
Wan, Xiaoyue, Chen, Zhuo, Zhao, Xu
Published in Computer vision and image understanding (01.11.2023)
Published in Computer vision and image understanding (01.11.2023)
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RSTC: Residual Swin Transformer Cascade to approximate Taylor expansion for image denoising
Liu, Jin, Yang, Yang, Xu, Biyun, Yu, Hao, Zhang, Yaozong, Li, Qian, Huang, Zhenghua
Published in Computer vision and image understanding (01.11.2024)
Published in Computer vision and image understanding (01.11.2024)
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