| Deep Learning for RFID-Based Activity Recognition X Li, Y Zhang, I Marsic, A Sarcevic, RS Burd The 14th ACM Conference on Embedded Networked Sensor Systems (SenSys 2016), 2016 | 127 | 2016 |
| Multimodal affective analysis using hierarchical attention strategy with word-level alignment Y Gu, K Yang, S Fu, S Chen, X Li, I Marsic Proceedings of the conference. Association for Computational Linguistics …, 2018 | 126 | 2018 |
| Vidtr: Video transformer without convolutions Y Zhang, X Li, C Liu, B Shuai, Y Zhu, B Brattoli, H Chen, I Marsic, J Tighe Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 120* | 2021 |
| A comprehensive study of deep video action recognition Y Zhu, X Li, C Liu, M Zolfaghari, Y Xiong, C Wu, Z Zhang, J Tighe, ... arXiv preprint arXiv:2012.06567, 2020 | 118 | 2020 |
| SiamMOT: Siamese Multi-Object Tracking B Shuai, A Berneshawi, X Li, D Modolo, J Tighe arXiv preprint arXiv:2105.11595, 2021 | 86 | 2021 |
| Multi-stream network with temporal attention for environmental sound classification X Li, V Chebiyyam, K Kirchhoff arXiv preprint arXiv:1901.08608, 2019 | 62 | 2019 |
| Hybrid attention based multimodal network for spoken language classification Y Gu, K Yang, S Fu, S Chen, X Li, I Marsic Proceedings of the Conference. association for Computational Linguistics …, 2018 | 53 | 2018 |
| Speech intention classification with multimodal deep learning Y Gu, X Li, S Chen, J Zhang, I Marsic Advances in Artificial Intelligence: 30th Canadian Conference on Artificial …, 2017 | 52 | 2017 |
| Concurrent activity recognition with multimodal CNN-LSTM structure X Li, Y Zhang, J Zhang, S Chen, I Marsic, RA Farneth, RS Burd arXiv preprint arXiv:1702.01638, 2017 | 45 | 2017 |
| Video contrastive learning with global context H Kuang, Y Zhu, Z Zhang, X Li, J Tighe, S Schwertfeger, C Stachniss, M Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 40 | 2021 |
| Long short-term transformer for online action detection M Xu, Y Xiong, H Chen, X Li, W Xia, Z Tu, S Soatto Advances in Neural Information Processing Systems 34, 1086-1099, 2021 | 39 | 2021 |
| Tuber: Tube-transformer for action detection J Zhao, X Li, C Liu, S Bing, H Chen, CGM Snoek, J Tighe arXiv preprint arXiv:2104.00969, 2021 | 39* | 2021 |
| Directional temporal modeling for action recognition X Li, B Shuai, J Tighe Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 37 | 2020 |
| Human conversation analysis using attentive multimodal networks with hierarchical encoder-decoder Y Gu, X Li, K Huang, S Fu, K Yang, S Chen, M Zhou, I Marsic Proceedings of the 26th ACM international conference on Multimedia, 537-545, 2018 | 33 | 2018 |
| Activity Recognition for Medical Teamwork Based on Passive RFID X Li, D Yao, X Pan, J Johannaman, JW Yang, R Webman, A Sarcevic, ... 2016 IEEE International Conference on RFID (RFID), 1-9, 2016 | 33 | 2016 |
| Mutual correlation attentive factors in dyadic fusion networks for speech emotion recognition Y Gu, X Lyu, W Sun, W Li, S Chen, X Li, I Marsic Proceedings of the 27th ACM International Conference on Multimedia, 157-166, 2019 | 28 | 2019 |
| Deep neural network for RFID-based activity recognition X Li, Y Zhang, M Li, I Marsic, JW Yang, RS Burd Proceedings of the Eighth Wireless of the Students, by the Students, and for …, 2016 | 24 | 2016 |
| Region-based Activity Recognition Using Conditional GAN X Li, Y Zhang, J Zhang, Y Chen, H Li, I Marsic, RS Burd Proceedings of the 2017 ACM on Multimedia Conference, 1059-1067, 2017 | 22 | 2017 |
| Speech Audio Super-Resolution for Speech Recognition. X Li, V Chebiyyam, K Kirchhoff, AI Amazon INTERSPEECH, 3416-3420, 2019 | 20 | 2019 |
| Progress estimation and phase detection for sequential processes X Li, Y Zhang, J Zhang, M Zhou, S Chen, Y Gu, Y Chen, I Marsic, ... Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2017 | 18* | 2017 |
Ivan MarsicRutgers University, Department of Electrical and Computer EngineeringVerified email at rutgers.edu
