Haichao Yu

According to our database, Haichao Yu authored at least 25 papers between 2017 and 2024.

Collaborative distances:

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

2024

Can technological change bring the improvement of green total factor productivity?: evidence from China.

Jishi Wei, Xiang Zhang, Yunling Ye, Haichao Yu

Technol. Anal. Strateg. Manag., December, 2024

Effective polarization-based image dehazing through 3D convolution network.

Xin Wang, Wei Fu, Haichao Yu, Yong Zhang

Signal Image Video Process., 2024

Exploring the Role of Audio in Video Captioning.

Yuhan Shen, Linjie Yang, Longyin Wen, Haichao Yu, Ehsan Elhamifar, Heng Wang

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

2023

Agglomeration and flow of innovation elements and the impact on regional innovation efficiency.

Haichao Yu, Haiqian Ke, Yunling Ye, Fei Fan

Int. J. Technol. Manag., 2023

The Devil is in the Details: A Deep Dive into the Rabbit Hole of Data Filtering.

Haichao Yu, Yu Tian, Sateesh Kumar, Linjie Yang, Heng Wang

CoRR, 2023

Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation.

Yiming Cui, Linjie Yang, Haichao Yu

Proceedings of the International Conference on Machine Learning, 2023

Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?

Cheng-En Wu, Yu Tian, Haichao Yu, Heng Wang, Pedro Morgado, Yu Hen Hu, Linjie Yang

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

Boosted Dynamic Neural Networks.

Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Cross-national knowledge transfer, absorptive capacity, and total factor productivity: the intermediary effect test of international technology spillover.

Haichao Yu, Jianqing Zhang, Minqi Zhang, Fei Fan

Technol. Anal. Strateg. Manag., 2022

Knowledge innovation network externalities in the Guangdong-Hong Kong-Macao Greater Bay Area: borrowing size or agglomeration shadow?

Wenyi Yang, Fei Fan, Xueli Wang, Haichao Yu

Technol. Anal. Strateg. Manag., 2022

2021

Dropout Prediction Variation Estimation Using Neuron Activation Strength.

Haichao Yu, Zhe Chen, Dong Lin, Gil I. Shamir, Jie Han

CoRR, 2021

Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization.

Haichao Yu, Linjie Yang, Humphrey Shi

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

High-Resolution Deep Image Matting.

Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Any-Precision Deep Neural Networks.

Haichao Yu, Haoxiang Li, Humphrey Shi, Thomas S. Huang, Gang Hua

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Optical Fiber Fabry-Perot Acoustic Sensors Based on Corrugated Silver Diaphragms.

Bin Liu, Guangqi Zheng, Ailin Wang, Chenyang Gui, Haichao Yu, Mingguang Shan, Peng Jin, Zhi Zhong

IEEE Trans. Instrum. Meas., 2020

A Heuristic Algorithm for the Reconstruction and Extraction of Defect Shape Features in Magnetic Flux Leakage Testing.

Alimey Fred John, Libing Bai, Yuhua Cheng, Haichao Yu

IEEE Trans. Instrum. Meas., 2020

FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation.

Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas S. Huang, Terrence Chen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

NTIRE 2020 Challenge on Image and Video Deblurring.

Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee, Yu Tseng, Yu-Syuan Xu, Cheng-Ming Chiang, Yi-Min Tsai, Stephan Brehm, Sebastian A. Scherer, Dejia Xu, Yihao Chu, Qingyan Sun, Jiaqin Jiang, Lunhao Duan, Jian Yao, Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Yuichi Ito, Hrishikesh P. S, Densen Puthussery, Akhil K. A, C. V. Jiji, Guisik Kim, Deepa P. L, Zhiwei Xiong, Jie Huang, Dong Liu, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Shihua Huang, Yuchen Fan, Jiahui Yu, Haichao Yu, Thomas S. Huang, Ya Zhou, Xin Li, Sen Liu, Zhibo Chen, Saikat Dutta, Sourya Dipta Das, Shivam Garg, Daniel Sprague, Bhrij Patel, Thomas Huck

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Novel Framework for 3D-2D Vertebra Matching.

Hanchao Yu, Yang Fu, Haichao Yu, Yunchao Wei, Xinchao Wang, Jianbo Jiao, Matthew Bramler, Thenkurussi Kesavadas, Honghui Shi, Zhangyang Wang, Bihan Wen, Thomas S. Huang

Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Self-Reproducing Video Frame Interpolation.

Jiajun Deng, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang

Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Quantification of Complex Defects in Magnetic Flux Leakage (MFL) Testing Using Gradient Gray Level Analysis Based on Least Square Approximation.

Alimey Fred John, Haichao Yu, Libing Bai, Yuhua Cheng, Yonggang Wang, Jinhua Mi

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

2018

X-Rank: Explainable Ranking in Complex Multi-Layered Networks.

Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Computed tomography super-resolution using convolutional neural networks.

Haichao Yu, Ding Liu, Honghui Shi, Hanchao Yu, Zhangyang Wang, Xinchao Wang, Brent Cross, Matthew Bramler, Thomas S. Huang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.

Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Balanced Two-Stage Residual Networks for Image Super-Resolution.

Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017