no code implementations • 22 Nov 2024 • Zhonghua Yi, Hao Shi, Qi Jiang, Yao Gao, Ze Wang, Yufan Zhang, Kailun Yang, Kaiwei Wang
Optical flow estimation is extensively used in autonomous driving and video editing.
1 code implementation • 15 Sep 2024 • Xiaolong Qian, Qi Jiang, Yao Gao, Shaohua Gao, Zhonghua Yi, Lei Sun, Kai Wei, Haifeng Li, Kailun Yang, Kaiwei Wang, Jian Bai
A Depth-aware Controllable DoF Imaging (DCDI) framework is proposed equipped with All-in-Focus (AiF) aberration correction and monocular depth estimation, where the recovered image and corresponding depth map are utilized to produce imaging results under diverse DoFs of any high-end lens via patch-wise convolution.
no code implementations • 9 Sep 2024 • Qi Jiang, Yao Gao, Shaohua Gao, Zhonghua Yi, Lei Sun, Hao Shi, Kailun Yang, Kaiwei Wang, Jian Bai
OmniLens extends the idea of universal CAC to a broader concept, where a base model is trained for three cases, including zero-shot CAC with the pre-trained model, few-shot CAC with a little lens-specific data for fine-tuning, and domain adaptive CAC using domain adaptation for lens-descriptions-unknown lens.
no code implementations • 25 Jul 2024 • Weijie Zheng, Yao Gao, Benjamin Doerr
These results suggest that our truthful version of the NSGA-II has the same good performance as the classic NSGA-II in two objectives, but can resolve the drastic problems in more than two objectives.
no code implementations • 30 Apr 2024 • Yao Gao, Qi Jiang, Shaohua Gao, Lei Sun, Kailun Yang, Kaiwei Wang
In this work, we present Global Search Optics (GSO) to automatically design compact computational imaging systems through two parts: (i) Fused Optimization Method for Automatic Optical Design (OptiFusion), which searches for diverse initial optical systems under certain design specifications; and (ii) Efficient Physic-aware Joint Optimization (EPJO), which conducts parallel joint optimization of initial optical systems and image reconstruction networks with the consideration of physical constraints, culminating in the selection of the optimal solution.
1 code implementation • 15 Mar 2024 • Qi Jiang, Zhonghua Yi, Shaohua Gao, Yao Gao, Xiaolong Qian, Hao Shi, Lei Sun, JinXing Niu, Kaiwei Wang, Kailun Yang, Jian Bai
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 achieve 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.