Xili Dai

According to our database, Xili Dai authored at least 27 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Metric Learning Based on Meta-Mining Strategy With Semiglobal Information.

Xi Jiang, Sheng Liu, Xili Dai, Guosheng Hu, Xingguo Huang, Yazhou Yao, Guo-Sen Xie, Ling Shao

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Anti-Collapse Loss for Deep Metric Learning.

Xiruo Jiang, Yazhou Yao, Xili Dai, Fumin Shen, Liqiang Nie, Heng Tao Shen

IEEE Trans. Multim., 2024

BIFRÖST: 3D-Aware Image compositing with Language Instructions.

Lingxiao Li, Kaixiong Gong, Weihong Li, Xili Dai, Tao Chen, Xiaojun Yuan, Xiangyu Yue

CoRR, 2024

Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric.

Xiruo Jiang, Yazhou Yao, Xili Dai, Fumin Shen, Xian-Sheng Hua, Heng Tao Shen

CoRR, 2024

Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription.

Hongxiang Zhao, Xili Dai, Jianan Wang, Shengbang Tong, Jingyuan Zhang, Weida Wang, Lei Zhang, Yi Ma

CoRR, 2024

Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models.

Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Closed-Loop Transcription via Convolutional Sparse Coding.

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

CoRR, 2023

Incremental Learning of Structured Memory via Closed-Loop Transcription.

Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unsupervised Manifold Linearizing and Clustering.

Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Fully convolutional line parsing.

Xili Dai, Haigang Gong, Shuai Wu, Xiaojun Yuan, Yi Ma

Neurocomputing, 2022

CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction.

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

Entropy, 2022

Unsupervised Learning of Structured Representations via Closed-Loop Transcription.

Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma

CoRR, 2022

Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image.

Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Revisiting Sparse Convolutional Model for Visual Recognition.

Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction.

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

CoRR, 2021

Fully Convolutional Line Parsing.

Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma

CoRR, 2021

2020

HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures.

Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen, Yi Ma

CoRR, 2020

2019

Understanding Pictograph with Facial Features: End-to-End Sentence-Level Lip Reading of Chinese.

Xiaobing Zhang, Haigang Gong, Xili Dai, Fan Yang, Nianbo Liu, Ming Liu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Low-Cost Vehicle Anti-Theft System Using Obsolete Smartphone.

Bang Liu, Nianbo Liu, Guihai Chen, Xili Dai, Ming Liu

Mob. Inf. Syst., 2018

Deep Learning versus Professional Healthcare Equipment: A Fine-Grained Breathing Rate Monitoring Model.

Bang Liu, Xili Dai, Haigang Gong, Zihao Guo, Nianbo Liu, Xiaomin Wang, Ming Liu

Mob. Inf. Syst., 2018

2017

Optimal Scheduling of Data-Intensive Applications in Cloud-Based Video Distribution Services.

Xili Dai, Xiaomin Wang, Nianbo Liu

IEEE Trans. Circuits Syst. Video Technol., 2017

DrivingSense: Dangerous Driving Behavior Identification Based on Smartphone Autocalibration.

Chunmei Ma, Xili Dai, Jinqi Zhu, Nianbo Liu, Huazhi Sun, Ming Liu

Mob. Inf. Syst., 2017

A Scalable Framework of Testbed for SDN Simulation with Multiple Controllers.

Xu Chen, Chao Song, Yongqiang Qi, Xili Dai, Ming Liu

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

2016

Share the Crowdsensing Data with Local Crowd by V2V Communications.

Chao Song, Ming Liu, Xili Dai

Mob. Inf. Syst., 2016

2015

Scheduling with Collaborative Mobile Chargers Inter-WSNs.

Jidong Zhao, Xili Dai, Xiaomin Wang

Int. J. Distributed Sens. Networks, 2015

Remote Cloud or Local Crowd: Communicating and Sharing the Crowdsensing Data.

Chao Song, Ming Liu, Xili Dai

Proceedings of the Fifth IEEE International Conference on Big Data and Cloud Computing, 2015

2014

Towards efficient multimedia publish/subscribe in urban VANETs.

Chunmei Ma, Nianbo Liu, Xiaomin Wang, Hai-gang Gong, Xili Dai, Ming Liu

Proceedings of the International Conference on Smart Computing, 2014