Huan Liu

According to our database, Huan Liu authored at least 27 papers between 2019 and 2024.

Collaborative distances:

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

2024

HARWE: A multi-modal large-scale dataset for context-aware human activity recognition in smart working environments.

Alireza Esmaeilzehi, Ensieh Khazaei, Kai Wang, Navjot Kaur Kalsi, Pai Chet Ng, Huan Liu, Yuanhao Yu, Dimitrios Hatzinakos, Konstantinos N. Plataniotis

Pattern Recognit. Lett., 2024

Adapting to Distribution Shift by Visual Domain Prompt Generation.

Zhixiang Chi, Li Gu, Tao Zhong, Huan Liu, Yuanhao Yu, Konstantinos N. Plataniotis, Yang Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Collaborative Multimodal Federated Learning for Human Activity Recognition in Smart Workplace Environments.

Seyed Mohammad Sheikholeslami, Pai Chet Ng, Huan Liu, Yuanhao Yu, Konstantinos N. Plataniotis

Proceedings of the IEEE International Conference on Acoustics, 2024

Persota FL: A Robust-to-Noise Personalized Over the Air Federated Learning for Human Activity Recognition.

Arash Rasti-Meymandi, Pai Chet Ng, Huan Liu, Yuanhao Yu, Konstantinos N. Plataniotis

Proceedings of the IEEE International Conference on Acoustics, 2024

NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report.

Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Yidi Liu, Xingbo Wang, Yurui Zhu, Gege Shi, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen, Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Xianger Li, Dong Li, Mohab Kishawy, Ruibin Li, Seyed Amirreza Mousavi, Rana Rauf, Yangyi Liu, Huan Liu, Mingsheng Tu, Kele Xu, JiaWen Chen, Qisheng Xu, Tao Sun, Jin Guo, Ben Shao, Tianli Liu, Mohao Wu, Xingzhuo Yan, Minghan Fu, Lehan Yang, Xin Lin, Lu Qi, Jincen Song, Xiaoqian Hu, Linwei Tao, Hongming Chen, Xiang Chen, Chuanlong Xie, Zhao Zhang, Junhu Wang, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenjing Jiang, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Test-Time Personalization with Meta Prompt for Gaze Estimation.

Huan Liu, Julia Qi, Zhenhao Li, Mohammad Hassanpour, Yang Wang, Konstantinos N. Plataniotis, Yuanhao Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FDCT: Fast Depth Completion for Transparent Objects.

Tianan Li, Zhehan Chen, Huan Liu, Chen Wang

IEEE Robotics Autom. Lett., September, 2023

Fast Human Pose Estimation in Compressed Videos.

Huan Liu, Wentao Liu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang

IEEE Trans. Multim., 2023

Meta-Auxiliary Learning for Future Depth Prediction in Videos.

Huan Liu, Zhixiang Chi, Yuanhao Yu, Yang Wang, Jun Chen, Jin Tang

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

A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer.

Yangyi Liu, Huan Liu, Liangyan Li, Zijun Wu, Jun Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank.

Shirui Huang, Keyan Wang, Huan Liu, Jun Chen, Yunsong Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge.

Ke Chen, Liangyan Li, Huan Liu, Yunzhe Li, Congling Tang, Jun Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report.

Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Cross-Domain Lossy Compression as Entropy Constrained Optimal Transport.

Huan Liu, George Zhang, Jun Chen, Ashish Khisti

IEEE J. Sel. Areas Inf. Theory, September, 2022

Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing.

Kangdi Shi, Xiaohong Liu, Muhammad Alrabeiah, Xintong Guo, Jie Lin, Huan Liu, Jun Chen

Inf., 2022

Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022.

Li Gu, Zhixiang Chi, Huan Liu, Yuanhao Yu, Yang Wang

CoRR, 2022

Lossy Compression with Distribution Shift as Entropy Constrained Optimal Transport.

Huan Liu, George Zhang, Jun Chen, Ashish J. Khisti

Proceedings of the Tenth International Conference on Learning Representations, 2022

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay.

Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang

Proceedings of the Computer Vision, 2022

Towards Multi-domain Single Image Dehazing via Test-time Training.

Huan Liu, Zijun Wu, Liangyan Li, Sadaf Salehkalaibar, Jun Chen, Keyan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.

Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning.

Zhixiang Chi, Li Gu, Huan Liu, Yang Wang, Yuanhao Yu, Jin Tang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network.

Huan Liu, Junsong Yuan, Chen Wang, Jun Chen

CoRR, 2021

Indirect Domain Shift for Single Image Dehazing.

Huan Liu, Jun Chen

IEEE Access, 2021

FMSNet: Underwater Image Restoration by Learning from a Synthesized Dataset.

Xiangyu Yin, Xiaohong Liu, Huan Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

A Two-Branch Neural Network for Non-Homogeneous Dehazing via Ensemble Learning.

Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, Keyan Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing.

Minghan Fu, Huan Liu, Yankun Yu, Jun Chen, Keyan Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2019

Image Retrieval via Canonical Correlation Analysis.

Kangdi Shi, Xiaohong Liu, Muhammad Alrabeiah, Xintong Guo, Jie Lin, Huan Liu, Jun Chen

Proceedings of the 16th Canadian Workshop on Information Theory, 2019