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2020 – today
- 2024
[j9]Xi Jiang, Sheng Liu
, Xili Dai, Guosheng Hu, Xingguo Huang, Yazhou Yao, Guo-Sen Xie, Ling Shao:
Deep Metric Learning Based on Meta-Mining Strategy With Semiglobal Information. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5103-5116 (2024)- [c9]Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma:
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. ICLR 2024 - [i12]Hongxiang Zhao, Xili Dai, Jianan Wang, Shengbang Tong, Jingyuan Zhang, Weida Wang, Lei Zhang, Yi Ma:
Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription. CoRR abs/2403.10953 (2024) - [i11]Xiruo Jiang, Yazhou Yao, Xili Dai, Fumin Shen, Xian-Sheng Hua, Heng Tao Shen:
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric. CoRR abs/2407.03106 (2024) - 2023
- [c8]Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele:
Unsupervised Manifold Linearizing and Clustering. ICCV 2023: 5427-5438 - [c7]Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma:
Incremental Learning of Structured Memory via Closed-Loop Transcription. ICLR 2023 - [i10]Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele:
Unsupervised Manifold Linearizing and Clustering. CoRR abs/2301.01805 (2023) - [i9]Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel M. Ni, Yi Ma:
Closed-Loop Transcription via Convolutional Sparse Coding. CoRR abs/2302.09347 (2023) - [i8]Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma:
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. CoRR abs/2306.05272 (2023) - 2022
- [j8]Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma:
CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction. Entropy 24(4): 456 (2022) - [j7]Xili Dai, Haigang Gong, Shuai Wu, Xiaojun Yuan, Yi Ma:
Fully convolutional line parsing. Neurocomputing 506: 1-11 (2022) - [c6]Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma:
Revisiting Sparse Convolutional Model for Visual Recognition. NeurIPS 2022 - [c5]Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan:
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. WACV 2022: 235-244 - [i7]Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma:
Incremental Learning of Structured Memory via Closed-Loop Transcription. CoRR abs/2202.05411 (2022) - [i6]Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma:
Revisiting Sparse Convolutional Model for Visual Recognition. CoRR abs/2210.12945 (2022) - [i5]Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma:
Unsupervised Learning of Structured Representations via Closed-Loop Transcription. CoRR abs/2210.16782 (2022) - 2021
- [i4]Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan:
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. CoRR abs/2104.07986 (2021) - [i3]Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma:
Fully Convolutional Line Parsing. CoRR abs/2104.11207 (2021) - [i2]Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma:
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction. CoRR abs/2111.06636 (2021) - 2020
- [i1]Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen, Yi Ma:
HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures. CoRR abs/2008.03286 (2020)
2010 – 2019
- 2019
- [c4]Xiaobing Zhang, Haigang Gong, Xili Dai, Fan Yang, Nianbo Liu, Ming Liu:
Understanding Pictograph with Facial Features: End-to-End Sentence-Level Lip Reading of Chinese. AAAI 2019: 9211-9218 - 2018
- [j6]Bang Liu, Xili Dai, Haigang Gong, Zihao Guo, Nianbo Liu, Xiaomin Wang, Ming Liu:
Deep Learning versus Professional Healthcare Equipment: A Fine-Grained Breathing Rate Monitoring Model. Mob. Inf. Syst. 2018: 5214067:1-5214067:9 (2018) - [j5]Bang Liu, Nianbo Liu, Guihai Chen, Xili Dai, Ming Liu:
A Low-Cost Vehicle Anti-Theft System Using Obsolete Smartphone. Mob. Inf. Syst. 2018: 6569826:1-6569826:16 (2018) - 2017
- [j4]Chunmei Ma, Xili Dai, Jinqi Zhu, Nianbo Liu, Huazhi Sun, Ming Liu:
DrivingSense: Dangerous Driving Behavior Identification Based on Smartphone Autocalibration. Mob. Inf. Syst. 2017: 9075653:1-9075653:15 (2017) - [j3]Xili Dai, Xiaomin Wang, Nianbo Liu:
Optimal Scheduling of Data-Intensive Applications in Cloud-Based Video Distribution Services. IEEE Trans. Circuits Syst. Video Technol. 27(1): 73-83 (2017) - [c3]Xu Chen, Chao Song, Yongqiang Qi, Xili Dai, Ming Liu:
A Scalable Framework of Testbed for SDN Simulation with Multiple Controllers. ISPA/IUCC 2017: 1228-1232 - 2016
- [j2]Chao Song, Ming Liu, Xili Dai:
Share the Crowdsensing Data with Local Crowd by V2V Communications. Mob. Inf. Syst. 2016: 6406981:1-6406981:14 (2016) - 2015
- [j1]Jidong Zhao, Xili Dai, Xiaomin Wang:
Scheduling with Collaborative Mobile Chargers Inter-WSNs. Int. J. Distributed Sens. Networks 11: 921397:1-921397:7 (2015) - [c2]Chao Song, Ming Liu, Xili Dai:
Remote Cloud or Local Crowd: Communicating and Sharing the Crowdsensing Data. BDCloud 2015: 293-297 - 2014
- [c1]Chunmei Ma, Nianbo Liu, Xiaomin Wang, Hai-gang Gong, Xili Dai, Ming Liu:
Towards efficient multimedia publish/subscribe in urban VANETs. SMARTCOMP 2014: 156-163
Coauthor Index
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last updated on 2024-08-08 19:19 CEST by the dblp team
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