Li Liu

According to our database, Li Liu authored at least 29 papers between 2016 and 2024.

Collaborative distances:

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

2024

Computation and Parameter Efficient Multi-Modal Fusion Transformer for Cued Speech Recognition.

Lei Liu, Li Liu, Haizhou Li

IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023

WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking.

Chunhui Zhang, Guanjie Huang, Li Liu, Shan Huang, Yinan Yang, Xiang Wan, Shiming Ge, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning.

Yixiong Chen, Chunhui Zhang, Chris H. Q. Ding, Li Liu

IEEE Trans. Medical Imaging, May, 2023

X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models.

Yixiong Chen, Li Liu, Chris Ding

CoRR, 2023

FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning.

Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment.

Chunhui Zhang, Xin Sun, Yiqian Yang, Li Liu, Qiong Liu, Xi Zhou, Yanfeng Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging.

Yixiong Chen, Li Liu, Jingxian Li, Hua Jiang, Chris Ding, Zongwei Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Rethinking Two Consensuses of the Transferability in Deep Learning.

Yixiong Chen, Jingxian Li, Chris Ding, Li Liu

CoRR, 2022

TAOTF: A Two-stage Approximately Orthogonal Training Framework in Deep Neural Networks.

Taoyong Cui, Jianze Li, Yuhan Dong, Li Liu

CoRR, 2022

MetaLR: Layer-wise Learning Rate based on Meta-Learning for Adaptively Fine-tuning Medical Pre-trained Models.

Yixiong Chen, Jingxian Li, Hua Jiang, Li Liu, Chris Ding

CoRR, 2022

Pre-activation Distributions Expose Backdoor Neurons.

Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu

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

Objective Hand Complexity Comparison between Two Mandarin Chinese Cued Speech Systems.

Li Liu, Gang Feng, Xiaoxi Ren, Xianping Ma

Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022

Data-Free Backdoor Removal Based on Channel Lipschitzness.

Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining.

Chunhui Zhang, Yixiong Chen, Li Liu, Qiong Liu, Xi Zhou

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Re-Synchronization Using the Hand Preceding Model for Multi-Modal Fusion in Automatic Continuous Cued Speech Recognition.

Li Liu, Gang Feng, Denis Beautemps, Xiao-Ping Zhang

IEEE Trans. Multim., 2021

Research on distributed logistics scheduling method for workshop production based on hybrid particle swarm optimisation.

Li Liu, Xiangli Xu

Int. J. Manuf. Technol. Manag., 2021

USCL: Pretraining Deep Ultrasound Image Diagnosis Model Through Video Contrastive Representation Learning.

Yixiong Chen, Chunhui Zhang, Li Liu, Cheng Feng, Changfeng Dong, Yongfang Luo, Xiang Wan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

The Ninth Visual Object Tracking VOT2021 Challenge Results.

Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning.

Yixiong Chen, Chunhui Zhang, Li Liu, Cheng Feng, Changfeng Dong, Yongfang Luo, Xiang Wan

CoRR, 2020

A New Re-synchronization Method based Multi-modal Fusion for Automatic Continuous Cued Speech Recognition.

Li Liu, Gang Feng, Denis Beautemps, Xiao-Ping (Steven) Zhang

CoRR, 2020

2019

Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech.

Li Liu, Jianze Li, Gang Feng, Xiao-Ping (Steven) Zhang

Proceedings of the Interspeech 2019, 2019

A novel resynchronization procedure for hand-lips fusion applied to continuous French Cued Speech recognition.

Li Liu, Gang Feng, Denis Beautemps, Xiao-Ping (Steven) Zhang

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Visual Recognition of Continuous Cued Speech Using a Tandem CNN-HMM Approach.

Li Liu, Thomas Hueber, Gang Feng, Denis Beautemps

Proceedings of the Interspeech 2018, 2018

Automatic Temporal Segmentation of Hand Movements for Hand Positions Recognition in French Cued Speech.

Li Liu, Gang Feng, Denis Beautemps

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Inner lips feature extraction based on CLNF with hybrid dynamic template for Cued Speech.

Li Liu, Gang Feng, Denis Beautemps

EURASIP J. Image Video Process., 2017

Automatic dynamic template tracking of inner lips based on CLNF.

Li Liu, Gang Feng, Denis Beautemps

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Inner Lips Parameter Estimation based on Adaptive Ellipse Model.

Li Liu, Gang Feng, Denis Beautemps

Proceedings of the Auditory-Visual Speech Processing, 2017

2016

Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine.

Maolong Xi, Jun Sun, Li Liu, Fangyun Fan, Xiaojun Wu

Comput. Math. Methods Medicine, 2016

Extraction automatique de contour de lèvre à partir du modèle CLNF (Automatic lip contour extraction using CLNF model).

Li Liu, Gang Feng, Denis Beautemps

Proceedings of the Actes de la conférence conjointe JEP-TALN-RECITAL 2016. Volume 1 : JEP, 2016