• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 24 matches

• 2024
• 
  Haigang Deng, Zhe Zhang, Chengwei Li, Wenting Xu, Chenyang Wang, Chuanxu Wang:
  Spatiotemporal information complementary modeling and group relationship reasoning for group activity recognition. J. Supercomput. 80(15): 21790-21810 (2024)
• 2023
• 
  Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He:
  Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. ICDE 2023: 3815-3816
• 2022
• 
  Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He:
  Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. IEEE Trans. Knowl. Data Eng. 34(1): 462-474 (2022)
• 
  Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, Yong Li:
  Activity Trajectory Generation via Modeling Spatiotemporal Dynamics. KDD 2022: 4752-4762
• 
  Trung Le, Eli Shlizerman:
  STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers. NeurIPS 2022
• 
  Trung Le, Eli Shlizerman:
  STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer. CoRR abs/2206.04727 (2022)
• 2021
• 
  Salman Khan, Fabio Cuzzolin:
  Spatiotemporal Deformable Models for Long-Term Complex Activity Detection. CoRR abs/2104.08194 (2021)
• 2019
• 
  Farhood Negin, François Brémond:
  An Unsupervised Framework for Online Spatiotemporal Detection of Activities of Daily Living by Hierarchical Activity Models. Sensors 19(19): 4237 (2019)
• 
  Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
  USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. IEEE BigData 2019: 1211-1217
• 
  Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
  USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. CoRR abs/1910.10335 (2019)
• 
  Albert M. Lund, Ramkiran Gouripeddi, Julio C. Facelli:
  Generation and Classification of Activity Sequences for Spatiotemporal Modeling of Human Populations. CoRR abs/1911.05476 (2019)
• 2018
• 
  Wassim M. Haddad:
  A Computational Study of a Spatiotemporal Mean Field Model Capturing the Emergence of Alpha and Gamma Rhythmic Activity in the Neocortex. Symmetry 10(11): 568 (2018)
• 
  Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han:
  Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach. AAAI 2018: 531-538
• 
  Tomás Vintr, Kerem Eyisoy, Vanda Vintrová, Zhi Yan, Yassine Ruichek, Tomás Krajník:
  Spatiotemporal Models of Human Activity for Robotic Patrolling. MESAS 2018: 54-64
• 2017
• 
  Chao Zhang, Keyang Zhang, Quan Yuan, Fangbo Tao, Luming Zhang, Tim Hanratty, Jiawei Han:
  ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling. SIGIR 2017: 245-254
• 2016
• 
  Md. Zia Uddin, Jaehyoun Kim:
  Human Activity Recognition Using Spatiotemporal 3-D Body Joint Features with Hidden Markov Models. KSII Trans. Internet Inf. Syst. 10(6): 2767-2780 (2016)
• 
  Ahmad Jalal, Shaharyar Kamal, Daijin Kim:
  Human Depth Sensors-Based Activity Recognition Using Spatiotemporal Features and Hidden Markov Model for Smart Environments. J. Comput. Networks Commun. 2016: 8087545:1-8087545:11 (2016)
• 2015
• 
  Minxian Li, Zhihao Jiang, Jinhui Tang, Chunxia Zhao:
  Activity Prediction Based on Spatiotemporal Model in a Multiple Cameras Network. BigMM 2015: 272-275
• 2014
• 
  Xiaokai Liu, Hongyu Wang, Hongbo Gao:
  Camera matching based on spatiotemporal activity and conditional random field model. IET Comput. Vis. 8(6): 487-497 (2014)
• 2010
• 
  Seiichi Matsubara, Hatsuo Hayashi, Kazuki Nakada:
  Spatiotemporal Synchronization of Neuronal Activity in a Hippocampal CA3 Network Model Including the O-LM Cell. Brain-Inspired Information Technology 2010: 119-122
• 2009
• 
  Antonios Oikonomopoulos, Ioannis Patras, Maja Pantic:
  An implicit spatiotemporal shape model for human activity localization and recognition. CVPR Workshops 2009: 27-33
• 2006
• 
  Delphine Cosandier-Rimélé, Jean-Michel Badier, Fabrice Wendling:
  A realistic spatiotemporal source model for EEG activity: Application to the reconstruction of epileptic depth-EEG signals. EMBC 2006: 4253-4256
• 1998
• 
  Katsumi Tateno, Hatsuo Hayashi, Satoru Ishizuka:
  Complexity of spatiotemporal activity of a neural network model which depends on the degree of synchronization. Neural Networks 11(6): 985-1003 (1998)
• 
  Katsumi Tateno, Hatsuo Hayashi, Satoru Ishizuka:
  Spontaneous Spatiotemporal Activity of a Hippocampal CA3 Network Model Which Depends on the Connectivity. ICONIP 1998: 1533-1536