1 code implementation • 1 Mar 2024 • Xianqi Wang, Gangwei Xu, Hao Jia, Xin Yang
Stereo matching methods based on iterative optimization, like RAFT-Stereo and IGEV-Stereo, have evolved into a cornerstone in the field of stereo matching.
no code implementations • 28 Dec 2023 • Miaojie Feng, Longliang Liu, Hao Jia, Gangwei Xu, Xin Yang
This paper introduces FlowDA, an unsupervised domain adaptive (UDA) framework for optical flow estimation.
no code implementations • 6 Dec 2023 • Gangwei Xu, Shujun Chen, Hao Jia, Miaojie Feng, Xin Yang
The full 4D cost volume in Recurrent All-Pairs Field Transforms (RAFT) or global matching by Transformer achieves impressive performance for optical flow estimation.
no code implementations • 5 Dec 2023 • Sehmimul Hoque, Hao Jia, Abhishek Abhishek, Mojde Fadaie, J. Quetzalcoatl Toledo-Marín, Tiago Vale, Roger G. Melko, Maximilian Swiatlowski, Wojciech T. Fedorko
The Large Hadron Collider's high luminosity era presents major computational challenges in the analysis of collision events.
1 code implementation • 4 Nov 2023 • Miaojie Feng, Junda Cheng, Hao Jia, Longliang Liu, Gangwei Xu, Qingyong Hu, Xin Yang
This architecture mitigates the multi-peak distribution problem in matching through the multi-peak lookup strategy, and integrates the coarse-to-fine concept into the iterative framework via the cascade search range.
no code implementations • 10 May 2022 • Chang Jin, Shigui Qiu, Nini Xiao, Hao Jia
In Neural Machine Translation (NMT), data augmentation methods such as back-translation have proven their effectiveness in improving translation performance.
no code implementations • 15 Mar 2022 • Hao Jia, Junzhong Ji, Minglong Lei
In this paper, we propose a novel graph neural network based on supervised contrastive learning with structure inference for graph classification.
1 code implementation • 17 May 2021 • Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Andrew Lek, Mustafa Ayazoglu, Jie Liu, Zongcai Du, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan, Zexin Zhang, Yixin Chen, Yunbo Peng, Yue Lin, Xindong Zhang, Hui Zeng, Kun Zeng, Peirong Li, Zhihuang Liu, Shiqi Xue, Shengpeng Wang
Image super-resolution is one of the most popular computer vision problems with many important applications to mobile devices.
no code implementations • 17 May 2021 • Andrey Ignatov, Andres Romero, Heewon Kim, Radu Timofte, Chiu Man Ho, Zibo Meng, Kyoung Mu Lee, Yuxiang Chen, Yutong Wang, Zeyu Long, Chenhao Wang, Yifei Chen, Boshen Xu, Shuhang Gu, Lixin Duan, Wen Li, Wang Bofei, Zhang Diankai, Zheng Chengjian, Liu Shaoli, Gao Si, Zhang Xiaofeng, Lu Kaidi, Xu Tianyu, Zheng Hui, Xinbo Gao, Xiumei Wang, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan
Video super-resolution has recently become one of the most important mobile-related problems due to the rise of video communication and streaming services.
no code implementations • 15 Apr 2021 • Hao Jia, Shuqin Gu, Yuqi Zhang, Xiangyu Duan
Bilingual terminologies are important machine translation resources in the field of e-commerce, which are usually either manually translated or automatically extracted from parallel data.
1 code implementation • ACL 2020 • Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo, Yue Zhang
In this paper, we propose a new task of machine translation (MT), which is based on no parallel sentences but can refer to a ground-truth bilingual dictionary.