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ORCIDHaichao Yu
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2020 – today
- 2024
[j7]Xin Wang, Wei Fu, Haichao Yu, Yong Zhang:
Effective polarization-based image dehazing through 3D convolution network. Signal Image Video Process. 18(S1): S463-S474 (2024)- [j6]Jishi Wei, Xiang Zhang, Yunling Ye, Haichao Yu:
Can technological change bring the improvement of green total factor productivity?: evidence from China. Technol. Anal. Strateg. Manag. 36(12): 4745-4760 (2024) - [c16]Yuhan Shen, Linjie Yang, Longyin Wen, Haichao Yu, Ehsan Elhamifar, Heng Wang:
Exploring the Role of Audio in Video Captioning. CVPR Workshops 2024: 2090-2100 - 2023
- [j5]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): 229-254 (2023) - [c15]Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi:
Boosted Dynamic Neural Networks. AAAI 2023: 10989-10997 - [c14]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: 15442-15451 - [c13]Yiming Cui, Linjie Yang, Haichao Yu:
Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation. ICML 2023: 6591-6602 - [i10]Yuhan Shen, Linjie Yang, Longyin Wen, Haichao Yu, Ehsan Elhamifar, Heng Wang:
Exploring the Role of Audio in Video Captioning. CoRR abs/2306.12559 (2023) - [i9]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 abs/2307.11978 (2023) - [i8]Yiming Cui, Linjie Yang, Haichao Yu:
Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation. CoRR abs/2307.12239 (2023) - [i7]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 abs/2309.15954 (2023) - 2022
- [j4]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): 625-640 (2022) - [j3]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): 1020-1037 (2022) - [i6]Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi:
Boosted Dynamic Neural Networks. CoRR abs/2211.16726 (2022) - 2021
- [c12]Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi:
High-Resolution Deep Image Matting. AAAI 2021: 3217-3224 - [c11]Haichao Yu, Haoxiang Li, Humphrey Shi, Thomas S. Huang, Gang Hua:
Any-Precision Deep Neural Networks. AAAI 2021: 10763-10771 - [c10]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: 3043-3052 - [i5]Haichao Yu, Linjie Yang, Humphrey Shi:
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization. CoRR abs/2105.07331 (2021) - [i4]Haichao Yu, Zhe Chen, Dong Lin, Gil I. Shamir, Jie Han:
Dropout Prediction Variation Estimation Using Neuron Activation Strength. CoRR abs/2110.06435 (2021) - 2020
- [j2]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): 3874-3881 (2020) - [j1]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): 9062-9071 (2020) - [c9]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:
NTIRE 2020 Challenge on Image and Video Deblurring. CVPR Workshops 2020: 1662-1675 - [c8]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: 4312-4322 - [i3]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 abs/2003.04492 (2020) - [i2]Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi:
High-Resolution Deep Image Matting. CoRR abs/2009.06613 (2020)
2010 – 2019
- 2019
- [c7]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: 1-6 - [c6]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: 121-126 - [c5]Jiajun Deng, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang:
Self-Reproducing Video Frame Interpolation. MIPR 2019: 193-198 - [i1]Haichao Yu, Haoxiang Li, Honghui Shi, Thomas S. Huang, Gang Hua:
Any-Precision Deep Neural Networks. CoRR abs/1911.07346 (2019) - 2018
- [c4]Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong:
X-Rank: Explainable Ranking in Complex Multi-Layered Networks. CIKM 2018: 1959-1962 - 2017
- [c3]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:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c2]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: 1157-1164 - [c1]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: 3944-3948
Coauthor Index
aka: Honghui Shi
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