1 code implementation • 28 Mar 2024 • Tianhao Zhou, Haipeng Li, Ziyi Wang, Ao Luo, Chen-Lin Zhang, Jiajun Li, Bing Zeng, Shuaicheng Liu
Image stitching from different captures often results in non-rectangular boundaries, which is often considered unappealing.
1 code implementation • 27 Mar 2024 • Hao Xu, Haipeng Li, Yinqiao Wang, Shuaicheng Liu, Chi-Wing Fu
Reconstructing 3D hand mesh robustly from a single image is very challenging, due to the lack of diversity in existing real-world datasets.
1 code implementation • ICCV 2023 • Hai Jiang, Haipeng Li, Songchen Han, Haoqiang Fan, Bing Zeng, Shuaicheng Liu
In this paper, we propose an iterative framework, which consists of two phases: a generation phase and a training phase, to generate realistic training data and yield a supervised homography network.
no code implementations • 9 Jun 2023 • Haipeng Li, Dingrui Liu, Yu Zeng, Shuaicheng Liu, Tao Gan, Nini Rao, Jinlin Yang, Bing Zeng
On one hand, this "one-image-one-network" learning ensures complete patient privacy as it does not use any images from other patients as the training data.
no code implementations • 23 Jan 2023 • Haipeng Li, Kunming Luo, Bing Zeng, Shuaicheng Liu
Second, we design a self-guided fusion module (SGF) to fuse the background motion extracted from the gyro field with the optical flow and guide the network to focus on motion details.
no code implementations • 23 Dec 2022 • Yuqiao Liu, Haipeng Li, Yanan sun, Shuaicheng Liu
NAS without training (WOT) score is such a metric, which estimates the final trained accuracy of the architecture through the ability to distinguish different inputs in the activation layer.
1 code implementation • 6 Dec 2022 • Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu
Homography estimation is erroneous in the case of large-baseline due to the low image overlay and limited receptive field.
1 code implementation • 20 Sep 2022 • Haipeng Li, Jonathan Dunn, Andrea Nini
In this paper, the universality and robustness of register variation is tested by comparing variation within vs. between register-specific corpora in 60 languages using corpora produced in comparable communicative situations: tweets and Wikipedia articles.
1 code implementation • LREC 2022 • Jonathan Dunn, Haipeng Li, Damian Sastre
The goal is to use corpus similarity measures before training to predict properties of embeddings after training.
1 code implementation • 9 Jun 2022 • Haipeng Li, Jonathan Dunn
This paper experiments with frequency-based corpus similarity measures across 39 languages using a register prediction task.
2 code implementations • ICCV 2021 • Haipeng Li, Kunming Luo, Shuaicheng Liu
Experiments show that our method outperforms the state-of-art methods in both regular and challenging scenes.
1 code implementation • 27 Jan 2021 • Haipeng Li, Shuaicheng Liu, Jue Wang
In this work, we propose a deep network that compensates the motions caused by the OIS, such that the gyroscopes can be used for image alignment on the OIS cameras.