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Human gait recognition is crucial in multimedia, enabling identification through walking patterns without direct interaction, enhancing the integration across various media forms in real-world applications like smart homes, healthcare and non-intrusive security.
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement. In Proceedings of the 31st ACM International Conference on Multimedia . 1895–1904
Zhenhua Ning, Zhuotao Tian, Guangming Lu, and Wenjie Pei. 2023 · 1904
Earlier work this paper cites.
Silhouette analysis-based gait recognition for human identification
Liang Wang, Tieniu Tan, Huazhong Ning, and Weiming Hu. 2003 · 2003
Earlier work this paper cites.
Efficient night gait recognition based on template matching. In ICPR , Vol. 3. IEEE, 1000–1003
Daoliang Tan and etc. 2006 · 2006
Earlier work this paper cites.
A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition. In ICPR , Vol. 4. IEEE, 441–444
Shiqi Yu, Daoliang Tan, and etc. 2006 · 2006
Earlier work this paper cites.
Silhouette transformation based on walking speed for gait identification. In CVPR
Yasushi Makihara. 2010 · 2010
Earlier work this paper cites.
The ou-isir gait database comprising the large population dataset and performance evaluation of gait recognition
Haruyuki Iwama, Mayu Okumura, Yasushi Makihara, and Yasushi Yagi. 2012 · 2012
Earlier work this paper cites.
A large RGB-D gait dataset and the baseline algorithm. In Biometric Recognition . Springer, 417–424
Shiqi Yu and etc. 2013 · 2013
Earlier work this paper cites.
The TUM Gait from Audio, Image and Depth (GAID) database: Multimodal recognition of subjects and traits
Martin Hofmann, Jürgen Geiger, and etc. 2014 · 2014
Earlier work this paper cites.
Lidar-based gait analysis and activity recognition in a 4d surveillance system
Csaba Benedek and etc. 2016 · 2016
Earlier work this paper cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation. In CVPR . 652–660
Charles R Qi and etc. 2017 · 2017
Earlier work this paper cites.
Ashish Vaswani, Noam M. Shazeer, and etc. 2017 · 2017
Earlier work this paper cites.
Squeeze-and-excitation networks. In CVPR . 7132–7141
Jie Hu, Li Shen, and etc. 2018 · 2018
Earlier work this paper cites.
Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition
Noriko Takemura, Yasushi Makihara, and etc. 2018 · 2018
Earlier work this paper cites.
Gaitset: Regarding gait as a set for cross-view gait recognition. In AAAI , Vol. 33. 8126–8133
Hanqing Chao and etc. 2019 · 2019
Earlier work this paper cites.
Multimodal feature fusion for CNN-based gait recognition: an empirical comparison
Francisco M Castro, Manuel J Marin-Jimenez, Nicolás Guil, and Nicolás Pérez de la Blanca. 2020 · 2020
Earlier work this paper cites.
Gaitpart: Temporal part-based model for gait recognition. In CVPR . 14225–14233
Chao Fan, Yunjie Peng, and etc. 2020 · 2020
Earlier work this paper cites.
Gait lateral network: Learning discriminative and compact representations for gait recognition. In ECCV . Springer, 382–398
Saihui Hou, Chunshui Cao, and etc. 2020 · 2020
Earlier work this paper cites.
A model-based gait recognition method with body pose and human prior knowledge
Rijun Liao and etc. 2020 · 2020
Earlier work this paper cites.
Gait recognition with multiple-temporal-scale 3d convolutional neural network. In Proceedings of the 28th ACM international conference on multimedia . 3054–3062
Beibei Lin, Shunli Zhang, and Feng Bao. 2020 · 2020
Earlier work this paper cites.
Deep high-resolution representation learning for visual recognition
Jingdong Wang and etc. 2020 · 2020
Cited alongside, same era.
Yolox: Exceeding yolo series in 2021
Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun. 2021 · 2021
Cited alongside, same era.
Context-sensitive temporal feature learning for gait recognition. In ICCV . 12909–12918
Xiaohu Huang and etc. 2021 · 2021
Cited alongside, same era.
Gait recognition based on vision systems: A systematic survey
Kumar and etc. 2021 · 2021
Cited alongside, same era.
Gait recognition via effective global-local feature representation and local temporal aggregation. In ICCV . 14648–14656
Beibei Lin, Shunli Zhang, and etc. 2021 · 2021
Cited alongside, same era.
Bytetrack: Multi-object tracking by associating every detection box. In ECCV . Springer
Yifu Zhang, Peize Sun, and etc. 2022 · 2022
Closest in time.
LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR Sensors
Chengfeng Zhao, Yiming Ren, and etc. 2022 · 2022
Closest in time.
Gait Recognition in the Wild with Dense 3D Representations and A Benchmark. In CVPR . 20228–20237
Jinkai Zheng and etc. 2022 · 2022
Closest in time.
Gait recognition in the wild with multi-hop temporal switch. In Proceedings of the 30th ACM International Conference on Multimedia . 6136–6145
Jinkai Zheng, Xinchen Liu, Xiaoyan Gu, Yaoqi Sun, Chuang Gan, Jiyong Zhang, Wu Liu, and Chenggang Yan. 2022 · 2022
Closest in time.
Bridging Language and Geometric Primitives for Zero-shot Point Cloud Segmentation. In Proceedings of the 31st ACM International Conference on Multimedia . 5380–5388
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Votehmr: Occlusion-aware voting network for robust 3d human mesh recovery from partial point clouds. In Proceedings of the 29th ACM International Conference on Multimedia . 955–964
Guanze Liu, Yu Rong, and Lu Sheng. 2021 · 2021
Cited alongside, same era.
UGaitNet: multimodal gait recognition with missing input modalities
Manuel J Marín-Jiménez, Francisco M Castro, Rubén Delgado-Escaño, Vicky Kalogeiton, and Nicolas Guil. 2021 · 2021
Cited alongside, same era.
Learning Rich Features for Gait Recognition by Integrating Skeletons and Silhouettes
Yunjie Peng, Saihui Hou, Kang Ma, Yang Zhang, Yongzhen Huang, and Zhiqiang He. 2021 · 2021
Cited alongside, same era.
Gaitgraph: Graph convolutional network for skeleton-based gait recognition. In ICIP . IEEE, 2314–2318
Torben Teepe and etc. 2021 · 2021
Cited alongside, same era.
Gait Recognition System: A Survey
Rahul Thour and etc. 2021 · 2021
Cited alongside, same era.
Gait recognition in the wild: A benchmark. In ICCV . 14789–14799
Zheng Zhu, Xianda Guo, and etc. 2021 · 2021
Cited alongside, same era.
2V-Gait: Gait Recognition using 3D LiDAR Robust to Changes in Walking Direction and Measurement Distance. In SII . IEEE, 602–607
Jeongho Ahn, Kazuto Nakashima, Koki Yoshino, Yumi Iwashita, and Ryo Kurazume. 2022 · 2022
Cited alongside, same era.
Runnan Chen, Xinge Zhu, Nenglun Chen, Wei Li, Yuexin Ma, Ruigang Yang, and Wenping Wang. 2023 · 2023
Closest in time.
OpenGait: Revisiting Gait Recognition Towards Better Practicality. In CVPR . 9707–9716
Chao Fan and etc. 2023 · 2023
Closest in time.
Rethinking range view representation for lidar segmentation
Lingdong Kong and etc. 2023 · 2023
Closest in time.
An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions. In CVPR . 13824–13833
Weijia Li and etc. 2023 · 2023
Closest in time.
Exploring Dual Representations in Large-Scale Point Clouds: A Simple Weakly Supervised Semantic Segmentation Framework. In Proceedings of the 31st ACM International Conference on Multimedia . 2371–2380
Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, and Cai Xu. 2023 · 2023
Closest in time.
See more and know more: Zero-shot point cloud segmentation via multi-modal visual data. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 21674–21684
Yuhang Lu, Qi Jiang, Runnan Chen, Yuenan Hou, Xinge Zhu, and Yuexin Ma. 2023 · 2023
Closest in time.
Sam-guided unsupervised domain adaptation for 3d segmentation
Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Tai Wang, Xinge Zhu, and Yuexin Ma. 2023a · 2023
Closest in time.
Lidargait: Benchmarking 3d gait recognition with point clouds. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1054–1063
Chuanfu Shen, Chao Fan, Wei Wu, Rui Wang, George Q Huang, and Shiqi Yu. 2023 · 2023
Closest in time.
Human-centric scene understanding for 3d large-scale scenarios. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 20349–20359
Yiteng Xu, Peishan Cong, Yichen Yao, Runnan Chen, Yuenan Hou, Xinge Zhu, Xuming He, Jingyi Yu, and Yuexin Ma. 2023 · 2023
Closest in time.
LaserHuman: Language-guided Scene-aware Human Motion Generation in Free Environment
Peishan Cong, Ziyi WangZhiyang Dou, Yiming Ren, Wei Yin, Kai Cheng, Yujing Sun, Xiaoxiao Long, Xinge Zhu, and Yuexin Ma. 2024 · 2024
Closest in time.
LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment
Yiming Ren, Xiao Han, Yichen Yao, Xiaoxiao Long, Yujing Sun, and Yuexin Ma. 2024 · 2024
Closest in time.
A Unified Framework for Human-centric Point Cloud Video Understanding. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1155–1164
Yiteng Xu, Kecheng Ye, Xiao Han, Yiming Ren, Xinge Zhu, and Yuexin Ma. 2024 · 2024
Closest in time.
HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 28120–28129
Yichen Yao, Zimo Jiang, Yujing Sun, Zhencai Zhu, Xinge Zhu, Runnan Chen, and Yuexin Ma. 2024 · 2024
Closest in time.
Cl3d: Unsupervised domain adaptation for cross-lidar 3d detection. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 37. 2047–2055
Xidong Peng, Xinge Zhu, and Yuexin Ma. 2023b · 2055
Closest in time.