Haichao Yu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 30

Top Topics

Cardiac Motion Estimation

Top Venues

IEEE Trans. Instrum. Meas.

Publications

Haichao Yu, Yu Tian, Sateesh Kumar, Linjie Yang, Heng Wang
The Devil is in the Details: A Deep Dive into the Rabbit Hole of Data Filtering. CoRR (2023)
Yiming Cui, Linjie Yang, Haichao Yu
Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation. CoRR (2023)
Cheng-En Wu, Yu Tian, Haichao Yu, Heng Wang, Pedro Morgado, Yu Hen Hu, Linjie Yang
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? ICCV (2023)
Haichao Yu, Haiqian Ke, Yunling Ye, Fei Fan
Agglomeration and flow of innovation elements and the impact on regional innovation efficiency. Int. J. Technol. Manag. 92 (3) (2023)
Cheng-En Wu, Yu Tian, Haichao Yu, Heng Wang, Pedro Morgado, Yu Hen Hu, Linjie Yang
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? CoRR (2023)
Yuhan Shen, Linjie Yang, Longyin Wen, Haichao Yu, Ehsan Elhamifar, Heng Wang
Exploring the Role of Audio in Video Captioning. CoRR (2023)
Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi
Boosted Dynamic Neural Networks. AAAI (2023)
Yiming Cui, Linjie Yang, Haichao Yu
Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation. ICML (2023)
Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi
Boosted Dynamic Neural Networks. CoRR (2022)
Wenyi Yang, Fei Fan, Xueli Wang, Haichao Yu
Knowledge innovation network externalities in the Guangdong-Hong Kong-Macao Greater Bay Area: borrowing size or agglomeration shadow? Technol. Anal. Strateg. Manag. 34 (9) (2022)
Haichao Yu, Jianqing Zhang, Minqi Zhang, Fei Fan
Cross-national knowledge transfer, absorptive capacity, and total factor productivity: the intermediary effect test of international technology spillover. Technol. Anal. Strateg. Manag. 34 (6) (2022)
Haichao Yu, Linjie Yang, Humphrey Shi
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization. CoRR (2021)
Haichao Yu, Haoxiang Li, Humphrey Shi, Thomas S. Huang, Gang Hua
Any-Precision Deep Neural Networks. AAAI (2021)
Haichao Yu, Linjie Yang, Humphrey Shi
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization. CVPR Workshops (2021)
Haichao Yu, Zhe Chen, Dong Lin, Gil I. Shamir, Jie Han
Dropout Prediction Variation Estimation Using Neuron Activation Strength. CoRR (2021)
Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi
High-Resolution Deep Image Matting. AAAI (2021)
Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas S. Huang, Terrence Chen
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation. CoRR (2020)
Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas S. Huang, Terrence Chen
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation. CVPR (2020)
Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee, Yu Tseng, Yu-Syuan Xu, Cheng-Ming Chiang, Yi-Min Tsai, Stephan Brehm, Sebastian 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
NTIRE 2020 Challenge on Image and Video Deblurring. CVPR Workshops (2020)
Bin Liu, Guangqi Zheng, Ailin Wang, Chenyang Gui, Haichao Yu, Mingguang Shan, Peng Jin, Zhi Zhong
Optical Fiber Fabry-Perot Acoustic Sensors Based on Corrugated Silver Diaphragms. IEEE Trans. Instrum. Meas. 69 (6) (2020)
Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi
High-Resolution Deep Image Matting. CoRR (2020)
Alimey Fred John, Libing Bai, Yuhua Cheng, Haichao Yu
A Heuristic Algorithm for the Reconstruction and Extraction of Defect Shape Features in Magnetic Flux Leakage Testing. IEEE Trans. Instrum. Meas. 69 (11) (2020)
Jiajun Deng, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang
Self-Reproducing Video Frame Interpolation. MIPR (2019)
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
A Novel Framework for 3D-2D Vertebra Matching. MIPR (2019)
Alimey Fred John, Haichao Yu, Libing Bai, Yuhua Cheng, Yonggang Wang, Jinhua Mi
Quantification of Complex Defects in Magnetic Flux Leakage (MFL) Testing Using Gradient Gray Level Analysis Based on Least Square Approximation. I2MTC (2019)
Haichao Yu, Haoxiang Li, Honghui Shi, Thomas S. Huang, Gang Hua
Any-Precision Deep Neural Networks. CoRR (2019)
Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
X-Rank: Explainable Ranking in Complex Multi-Layered Networks. CIKM (2018)
Haichao Yu, Ding Liu, Honghui Shi, Hanchao Yu, Zhangyang Wang, Xinchao Wang, Brent Cross, Matthew Bramler, Thomas S. Huang
Computed tomography super-resolution using convolutional neural networks. ICIP (2017)
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, Jae Jun 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
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops (2017)
Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang
Balanced Two-Stage Residual Networks for Image Super-Resolution. CVPR Workshops (2017)