no code implementations • 15 Mar 2024 • Qi Jiang, Zhonghua Yi, Shaohua Gao, Yao Gao, Xiaolong Qian, Hao Shi, Lei Sun, Zhijie Xu, Kailun Yang, Kaiwei Wang
Relying on paired synthetic data, existing learning-based Computational Aberration Correction (CAC) methods are confronted with the intricate and multifaceted synthetic-to-real domain gap, which leads to suboptimal performance in real-world applications.
1 code implementation • 22 Jun 2023 • Qi Jiang, Shaohua Gao, Yao Gao, Kailun Yang, Zhonghua Yi, Hao Shi, Lei Sun, Kaiwei Wang
In this paper, we propose a Panoramic Computational Imaging Engine (PCIE) to address minimalist and high-quality panoramic imaging.
no code implementations • 10 Mar 2023 • Xiuxiu Bai, Shuaishuai Zhao, Yao Gao, Zhe Liu
We verify this theory through simulation experiments and demonstrate the mode-locking pattern in real-world scene models.
no code implementations • 20 May 2022 • Xiuxiu Bai, Zhe Liu, Yao Gao, Bin Liu, Yongqiang Hao
Artificial neural networks have realized incredible successes at image recognition, but the underlying mechanism of visual space representation remains a huge mystery.
no code implementations • 23 Jul 2021 • Pinzhuo Tian, Yao Gao
However, most meta-learning literature focuses on dealing with tasks from a same domain, making it brittle to generalize to tasks from the other unseen domains.
no code implementations • 21 Apr 2021 • Zhong-Qiu Zhao, Yao Gao, Yuchen Ge, Weidong Tian
Experimental results on COCO and OCHuman keypoints datasets show that our proposed ODKD can improve the performance of different lightweight models by a large margin, and HRNet-W16 equipped with ODKD achieves state-of-the-art performance for lightweight human pose estimation.