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ORCIDXinyu Li 0003
Person information
- affiliation: Amazon Web Service, AWS AI Labs, Seattle, USA
- affiliation: Rutgers University, Department of Electrical and Computer Engineering, NJ, USA
Other persons with the same name
- Xinyu Li — disambiguation page
- Xinyu Li 0001
![[0000-0002-3730-0360]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3730-0360")
— Huazhong University of Science and Technology, School of Mechanical, Wuhan, China - Xinyu Li 0002 — The University of Hong Kong (HKU)
- Xinyu Li 0004 — Monash University, Australia
- Xinyu Li 0005 — Donghua University, College of Mechanical Engineering, Shanghai, China (and 2 more)
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2020 – today
- 2022
[c31]A. S. M. Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo:
What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. CVPR 2022: 5343-5353- [c30]Feng Cheng, Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Li, Wei Xia:
Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models. CVPR 2022: 8291-8300 - [c29]Jiaojiao Zhao, Yanyi Zhang, Xinyu Li, Hao Chen, Bing Shuai, Mingze Xu, Chunhui Liu, Kaustav Kundu, Yuanjun Xiong, Davide Modolo, Ivan Marsic, Cees G. M. Snoek, Joseph Tighe:
TubeR: Tubelet Transformer for Video Action Detection. CVPR 2022: 13588-13597 - [c28]Bing Shuai, Xinyu Li, Kaustav Kundu, Joseph Tighe:
Id-Free Person Similarity Learning. CVPR 2022: 14669-14679 - [c27]Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless C. Fowlkes:
SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation. WACV 2022: 175-184 - [c26]Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe:
NUTA: Non-uniform Temporal Aggregation for Action Recognition. WACV 2022: 827-836 - [i20]Feng Cheng, Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Li, Wei Xia:
Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models. CoRR abs/2203.16755 (2022) - [i19]A. S. M. Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo:
What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. CoRR abs/2204.00746 (2022) - 2021
- [c25]Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe:
SiamMOT: Siamese Multi-Object Tracking. CVPR 2021: 12372-12382 - [c24]Yanyi Zhang, Xinyu Li, Ivan Marsic:
Multi-Label Activity Recognition Using Activity-Specific Features and Activity Correlations. CVPR 2021: 14625-14635 - [c23]Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe:
VidTr: Video Transformer Without Convolutions. ICCV 2021: 13557-13567 - [c22]Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe:
Selective Feature Compression for Efficient Activity Recognition Inference. ICCV 2021: 13608-13617 - [c21]Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li:
Video Contrastive Learning with Global Context. ICCVW 2021: 3188 - [c20]Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. NeurIPS 2021: 1086-1099 - [i18]Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe:
Selective Feature Compression for Efficient Activity Recognition Inference. CoRR abs/2104.00179 (2021) - [i17]Jiaojiao Zhao, Xinyu Li, Chunhui Liu, Bing Shuai, Hao Chen, Cees G. M. Snoek, Joseph Tighe:
TubeR: Tube-Transformer for Action Detection. CoRR abs/2104.00969 (2021) - [i16]Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe:
VidTr: Video Transformer Without Convolutions. CoRR abs/2104.11746 (2021) - [i15]Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe:
SiamMOT: Siamese Multi-Object Tracking. CoRR abs/2105.11595 (2021) - [i14]Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless C. Fowlkes:
Unsupervised Action Segmentation with Self-supervised Feature Learning and Co-occurrence Parsing. CoRR abs/2105.14158 (2021) - [i13]Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. CoRR abs/2107.03377 (2021) - [i12]Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li:
Video Contrastive Learning with Global Context. CoRR abs/2108.02722 (2021) - 2020
- [c19]Xinyu Li, Bing Shuai, Joseph Tighe:
Directional Temporal Modeling for Action Recognition. ECCV (6) 2020: 275-291 - [c18]Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Chunhui Liu, Davide Modolo, Xinyu Li, Joseph Tighe:
Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset. ACM Multimedia 2020: 4625-4629 - [i11]Xinyu Li, Bing Shuai, Joseph Tighe:
Directional Temporal Modeling for Action Recognition. CoRR abs/2007.11040 (2020) - [i10]Yanyi Zhang, Xinyu Li, Ivan Marsic:
Multi-Label Activity Recognition using Activity-specific Features. CoRR abs/2009.07420 (2020) - [i9]Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo Wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li:
A Comprehensive Study of Deep Video Action Recognition. CoRR abs/2012.06567 (2020) - [i8]Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe:
NUTA: Non-uniform Temporal Aggregation for Action Recognition. CoRR abs/2012.08041 (2020)
2010 – 2019
- 2019
- [c17]Xinyu Li, Venkata Chebiyyam, Katrin Kirchhoff:
Speech Audio Super-Resolution for Speech Recognition. INTERSPEECH 2019: 3416-3420 - [c16]Xinyu Li, Venkata Chebiyyam, Katrin Kirchhoff:
Multi-Stream Network with Temporal Attention for Environmental Sound Classification. INTERSPEECH 2019: 3604-3608 - [c15]Yue Gu, Xinyu Lyu, Weijia Sun, Weitian Li, Shuhong Chen, Xinyu Li, Ivan Marsic:
Mutual Correlation Attentive Factors in Dyadic Fusion Networks for Speech Emotion Recognition. ACM Multimedia 2019: 157-166 - [i7]Xinyu Li, Venkata Chebiyyam, Katrin Kirchhoff:
Multi-stream Network With Temporal Attention For Environmental Sound Classification. CoRR abs/1901.08608 (2019) - 2018
- [c14]Yue Gu, Kangning Yang, Shiyu Fu, Shuhong Chen, Xinyu Li, Ivan Marsic:
Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment. ACL (1) 2018: 2225-2235 - [c13]Yue Gu, Kangning Yang, Shiyu Fu, Shuhong Chen, Xinyu Li, Ivan Marsic:
Hybrid Attention based Multimodal Network for Spoken Language Classification. COLING 2018: 2379-2390 - [c12]Yue Gu, Xinyu Li, Kaixiang Huang, Shiyu Fu, Kangning Yang, Shuhong Chen, Moliang Zhou, Ivan Marsic:
Human Conversation Analysis Using Attentive Multimodal Networks with Hierarchical Encoder-Decoder. ACM Multimedia 2018: 537-545 - [i6]Yue Gu, Kangning Yang, Shiyu Fu, Shuhong Chen, Xinyu Li, Ivan Marsic:
Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment. CoRR abs/1805.08660 (2018) - [i5]Yanyi Zhang, Xinyu Li, Kaixiang Huang, Yehan Wang, Shuhong Chen, Ivan Marsic:
Tri-axial Self-Attention for Concurrent Activity Recognition. CoRR abs/1812.02817 (2018) - 2017
- [j1]Xinyu Li, Yanyi Zhang, Jianyu Zhang, Moliang Zhou, Shuhong Chen, Yue Gu, Yueyang Chen, Ivan Marsic, Richard A. Farneth, Randall S. Burd:
Progress Estimation and Phase Detection for Sequential Processes. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 73:1-73:20 (2017) - [c11]Yue Gu, Xinyu Li, Shuhong Chen, Jianyu Zhang, Ivan Marsic:
Speech Intention Classification with Multimodal Deep Learning. Canadian AI 2017: 260-271 - [c10]Yue Gu, Xinyu Li, Shuhong Chen, Hunagcan Li, Richard A. Farneth, Ivan Marsic, Randall S. Burd:
Language-Based Process Phase Detection in the Trauma Resuscitation. ICHI 2017: 239-247 - [c9]Moliang Zhou, Sen Yang, Xinyu Li, Shuyu Lv, Shuhong Chen, Ivan Marsic, Richard A. Farneth, Randall S. Burd:
Evaluation of Trace Alignment Quality and its Application in Medical Process Mining. ICHI 2017: 258-267 - [c8]Xinyu Li, Yanyi Zhang, Jianyu Zhang, Shuhong Chen, Yue Gu, Richard A. Farneth, Ivan Marsic, Randall S. Burd:
3D activity localization with multiple sensors: poster abstract. IPSN 2017: 297-298 - [c7]Yanyi Zhang, Xinyu Li, Jianyu Zhang, Shuhong Chen, Moliang Zhou, Richard A. Farneth, Ivan Marsic, Randall S. Burd:
CAR - a deep learning structure for concurrent activity recognition: poster abstract. IPSN 2017: 299-300 - [c6]Xinyu Li, Yanyi Zhang, Jianyu Zhang, Yueyang Chen, Huangcan Li, Ivan Marsic, Randall S. Burd:
Region-based Activity Recognition Using Conditional GAN. ACM Multimedia 2017: 1059-1067 - [i4]Xinyu Li, Yanyi Zhang, Jianyu Zhang, Shuhong Chen, Ivan Marsic, Richard A. Farneth, Randall S. Burd:
Concurrent Activity Recognition with Multimodal CNN-LSTM Structure. CoRR abs/1702.01638 (2017) - [i3]Xinyu Li, Yanyi Zhang, Ivan Marsic, Randall S. Burd:
Online People Tracking and Identification with RFID and Kinect. CoRR abs/1702.03824 (2017) - [i2]Moliang Zhou, Sen Yang, Shuyu Lv, Xinyu Li, Shuhong Chen, Ivan Marsic, Randall S. Burd:
A Framework for Evaluating Trace Alignments. CoRR abs/1702.04719 (2017) - [i1]Xinyu Li, Yanyi Zhang, Jianyu Zhang, Yueyang Chen, Shuhong Chen, Yue Gu, Moliang Zhou, Richard A. Farneth, Ivan Marsic, Randall S. Burd:
Process Progress Estimation and Phase Detection. CoRR abs/1702.08623 (2017) - 2016
- [c5]Xinyu Li, Yanyi Zhang, Ivan Marsic, Randall S. Burd:
Privacy Preserving Dynamic Room Layout Mapping. ICISP 2016: 61-70 - [c4]Xinyu Li, Yanyi Zhang, Mengzhu Li, Ivan Marsic, JaeWon Yang, Randall S. Burd:
Deep neural network for RFID-based activity recognition. S3@MobiCom 2016: 24-26 - [c3]Xinyu Li, Dongyang Yao, Xuechao Pan, Jonathan Johannaman, JaeWon Yang, Rachel Webman, Aleksandra Sarcevic, Ivan Marsic, Randall S. Burd:
Activity recognition for medical teamwork based on passive RFID. IEEE RFID 2016: 34-42 - [c2]Xinyu Li, Yanyi Zhang, Ivan Marsic, Aleksandra Sarcevic, Randall S. Burd:
Deep Learning for RFID-Based Activity Recognition. SenSys 2016: 164-175 - [c1]Xinyu Li, Yanyi Zhang, Mengzhu Li, Shuhong Chen, Farneth R. Austin, Ivan Marsic, Randall S. Burd:
Online process phase detection using multimodal deep learning. UEMCON 2016: 1-7
Coauthor Index
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