Добірка наукової літератури з теми "Cross modal person re-identification"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Cross modal person re-identification".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Cross modal person re-identification"
Hafner, Frank M., Amran Bhuyian, Julian F. P. Kooij, and Eric Granger. "Cross-modal distillation for RGB-depth person re-identification." Computer Vision and Image Understanding 216 (February 2022): 103352. http://dx.doi.org/10.1016/j.cviu.2021.103352.
Повний текст джерелаLiu, Minghui, Yafei Zhang, and Huafeng Li. "Survey of Cross-Modal Person Re-Identification from a Mathematical Perspective." Mathematics 11, no. 3 (January 28, 2023): 654. http://dx.doi.org/10.3390/math11030654.
Повний текст джерелаXie, Zhongwei, Lin Li, Xian Zhong, Luo Zhong, and Jianwen Xiang. "Image-to-video person re-identification with cross-modal embeddings." Pattern Recognition Letters 133 (May 2020): 70–76. http://dx.doi.org/10.1016/j.patrec.2019.03.003.
Повний текст джерелаLi, Diangang, Xing Wei, Xiaopeng Hong, and Yihong Gong. "Infrared-Visible Cross-Modal Person Re-Identification with an X Modality." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4610–17. http://dx.doi.org/10.1609/aaai.v34i04.5891.
Повний текст джерелаLin, Ronghui, Rong Wang, Wenjing Zhang, Ao Wu, and Yihan Bi. "Joint Modal Alignment and Feature Enhancement for Visible-Infrared Person Re-Identification." Sensors 23, no. 11 (May 23, 2023): 4988. http://dx.doi.org/10.3390/s23114988.
Повний текст джерелаSyed, Muhammad Adnan, Yongsheng Ou, Tao Li, and Guolai Jiang. "Lightweight Multimodal Domain Generic Person Reidentification Metric for Person-Following Robots." Sensors 23, no. 2 (January 10, 2023): 813. http://dx.doi.org/10.3390/s23020813.
Повний текст джерелаFarooq, Ammarah, Muhammad Awais, Josef Kittler, and Syed Safwan Khalid. "AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 4 (June 28, 2022): 4477–85. http://dx.doi.org/10.1609/aaai.v36i4.20370.
Повний текст джерелаZheng, Aihua, Zi Wang, Zihan Chen, Chenglong Li, and Jin Tang. "Robust Multi-Modality Person Re-identification." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 4 (May 18, 2021): 3529–37. http://dx.doi.org/10.1609/aaai.v35i4.16467.
Повний текст джерелаShi, Shuo, Changwei Huo, Yingchun Guo, Stephen Lean, Gang Yan, and Ming Yu. "Truncated attention mechanism and cascade loss for cross-modal person re-identification." Journal of Intelligent & Fuzzy Systems 41, no. 6 (December 16, 2021): 6575–87. http://dx.doi.org/10.3233/jifs-210382.
Повний текст джерелаYan, Shiyang, Jianan Zhao, and Lin Xu. "Adaptive multi-task learning for cross domain and modal person re-identification." Neurocomputing 486 (May 2022): 123–34. http://dx.doi.org/10.1016/j.neucom.2021.11.016.
Повний текст джерелаДисертації з теми "Cross modal person re-identification"
Li, Yu-Jhe, and 李宇哲. "A Generative Dual Model for Cross-Resolution Person Re-Identification." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/we2598.
Повний текст джерела國立臺灣大學
電信工程學研究所
107
Person re-identification (re-ID) aims at matching images of the same identity across camera views. Due to varying distances between the cameras and persons of interest, resolution mismatch can be expected, which would degrade person re-ID performances in real-world scenarios. To overcome this problem, we propose a novel generative adversarial network to address cross-resolution person re-ID, allowing query images with varying resolutions. By advancing adversarial learning techniques, our proposed model learns resolution-invariant image representations while being able to recover missing details in low-resolution input images. Thus, the resulting features can be jointly applied for improved re-ID performances. Our experiments on three benchmark datasets confirm the effectiveness of our method and its superiority over the state-of-the-art approaches, especially when the input resolutions are unseen during training.
Частини книг з теми "Cross modal person re-identification"
Uddin, Md Kamal, Antony Lam, Hisato Fukuda, Yoshinori Kobayashi, and Yoshinori Kuno. "Exploiting Local Shape Information for Cross-Modal Person Re-identification." In Intelligent Computing Methodologies, 74–85. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26766-7_8.
Повний текст джерелаXu, Xiaohui, Song Wu, Shan Liu, and Guoqiang Xiao. "Cross-Modal Based Person Re-identification via Channel Exchange and Adversarial Learning." In Neural Information Processing, 500–511. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92185-9_41.
Повний текст джерелаChen, Qingshan, Zhenzhen Quan, Kun Zhao, Yifan Zheng, Zhi Liu, and Yujun Li. "A Cross-Modality Sketch Person Re-identification Model Based on Cross-Spectrum Image Generation." In Digital TV and Wireless Multimedia Communications, 312–24. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2266-4_24.
Повний текст джерелаZhu, Chuanlei, Xiaohong Li, Meibin Qi, Yimin Liu, and Long Zhang. "A Local-Global Self-attention Interaction Network for RGB-D Cross-Modal Person Re-identification." In Pattern Recognition and Computer Vision, 89–102. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-18916-6_8.
Повний текст джерелаHu, Yang, Dong Yi, Shengcai Liao, Zhen Lei, and Stan Z. Li. "Cross Dataset Person Re-identification." In Computer Vision - ACCV 2014 Workshops, 650–64. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16634-6_47.
Повний текст джерелаWang, Yanan, Shuzhen Yang, Shuang Liu, and Zhong Zhang. "Cross-Domain Person Re-identification: A Review." In Lecture Notes in Electrical Engineering, 153–60. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8599-9_19.
Повний текст джерелаLi, Zhihui, Wenhe Liu, Xiaojun Chang, Lina Yao, Mahesh Prakash, and Huaxiang Zhang. "Domain-Aware Unsupervised Cross-dataset Person Re-identification." In Advanced Data Mining and Applications, 406–20. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35231-8_29.
Повний текст джерелаZhang, Pengyi, Huanzhang Dou, Yunlong Yu, and Xi Li. "Adaptive Cross-domain Learning for Generalizable Person Re-identification." In Lecture Notes in Computer Science, 215–32. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19781-9_13.
Повний текст джерелаJiang, Kongzhu, Tianzhu Zhang, Xiang Liu, Bingqiao Qian, Yongdong Zhang, and Feng Wu. "Cross-Modality Transformer for Visible-Infrared Person Re-Identification." In Lecture Notes in Computer Science, 480–96. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19781-9_28.
Повний текст джерелаKim, Hyeonwoo, Hyungjoon Kim, Bumyeon Ko, and Eenjun Hwang. "Person Re-identification Scheme Using Cross-Input Neighborhood Differences." In Transactions on Computational Science and Computational Intelligence, 825–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70296-0_61.
Повний текст джерелаТези доповідей конференцій з теми "Cross modal person re-identification"
Hafner, Frank M., Amran Bhuiyan, Julian F. P. Kooij, and Eric Granger. "RGB-Depth Cross-Modal Person Re-identification." In 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2019. http://dx.doi.org/10.1109/avss.2019.8909838.
Повний текст джерелаFarooq, Ammarah, Muhammad Awais, Josef Kittler, Ali Akbari, and Syed Safwan Khalid. "Cross Modal Person Re-identification with Visual-Textual Queries." In 2020 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2020. http://dx.doi.org/10.1109/ijcb48548.2020.9304940.
Повний текст джерелаLu, Lingyi, and Xin Xu. "Visible-Infrared Cross-Modal Person Re-identification based on Positive Feedback." In MMAsia '21: ACM Multimedia Asia. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3469877.3497693.
Повний текст джерелаTian, Xudong, Zhizhong Zhang, Shaohui Lin, Yanyun Qu, Yuan Xie, and Lizhuang Ma. "Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.00157.
Повний текст джерелаPark, Hyunjong, Sanghoon Lee, Junghyup Lee, and Bumsub Ham. "Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences." In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.01183.
Повний текст джерелаYin, Zhou, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, Feiyue Huang, and Jianhuang Lai. "Adversarial Attribute-Image Person Re-identification." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/153.
Повний текст джерелаChen, Yongbiao, Sheng Zhang, and Zhengwei Qi. "MAENet: Boosting Feature Representation for Cross-Modal Person Re-Identification with Pairwise Supervision." In ICMR '20: International Conference on Multimedia Retrieval. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3372278.3390699.
Повний текст джерелаHu, Jihui, Pengfei Ye, Danyang Li, Lingyun Dong, Xiaopan Chen, and Xiaoke Zhu. "Point-Level and Set-Level Deep Representation Learning for Cross-Modal Person Re-identification." In 2022 IEEE 8th International Conference on Computer and Communications (ICCC). IEEE, 2022. http://dx.doi.org/10.1109/iccc56324.2022.10065694.
Повний текст джерелаLiu, Xiang, and Liang Li. "Research on cross-modality person re-identification based on generative adversarial networks and modal compensation." In International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), edited by Aniruddha Bhattacharjya and Xin Feng. SPIE, 2023. http://dx.doi.org/10.1117/12.2681151.
Повний текст джерелаYe, Mang, Zheng Wang, Xiangyuan Lan, and Pong C. Yuen. "Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/152.
Повний текст джерела