Zobrazeno 1 - 10
of 6 057
pro vyhledávání: '"JIANG, Qi"'
Autor:
Yi, Zhonghua, Shi, Hao, Jiang, Qi, Gao, Yao, Wang, Ze, Zhang, Yufan, Yang, Kailun, Wang, Kaiwei
Optical flow estimation is extensively used in autonomous driving and video editing. While existing models demonstrate state-of-the-art performance across various benchmarks, the robustness of these methods has been infrequently investigated. Despite
Externí odkaz:
http://arxiv.org/abs/2411.14865
Autor:
Yi, Zhonghua, Shi, Hao, Jiang, Qi, Yang, Kailun, Wang, Ze, Gu, Diyang, Zhang, Yufan, Wang, Kaiwei
Event cameras, with high temporal resolution and high dynamic range, have limited research on the inter-modality local feature extraction and matching of event-image data. We propose EI-Nexus, an unmediated and flexible framework that integrates two
Externí odkaz:
http://arxiv.org/abs/2410.21743
Multisensor fusion is essential for autonomous vehicles to accurately perceive, analyze, and plan their trajectories within complex environments. This typically involves the integration of data from LiDAR sensors and cameras, which necessitates high-
Externí odkaz:
http://arxiv.org/abs/2409.19305
Autor:
Liu, Jiayu, Zhan, Jie, Li, Tongrui, Liu, Jishan, Cheng, Shufan, Shi, Yuming, Deng, Liwei, Zhang, Meng, Li, Chihao, Ding, Jianyang, Jiang, Qi, Ye, Mao, Liu, Zhengtai, Jiang, Zhicheng, Wang, Siyu, Li, Qian, Xie, Yanwu, Wang, Yilin, Qiao, Shan, Wen, Jinsheng, Sun, Yan, Shen, Dawei
Publikováno v:
Phys. Rev. Lett. 133, 176401 (2024)
Rutile RuO$_2$ has been posited as a potential $d$-wave altermagnetism candidate, with a predicted significant spin splitting up to 1.4 eV. Despite accumulating theoretical predictions and transport measurements, direct spectroscopic observation of s
Externí odkaz:
http://arxiv.org/abs/2409.13504
Autor:
Qian, Xiaolong, Jiang, Qi, Gao, Yao, Gao, Shaohua, Yi, Zhonghua, Sun, Lei, Wei, Kai, Li, Haifeng, Yang, Kailun, Wang, Kaiwei, Bai, Jian
Controllable Depth-of-Field (DoF) imaging commonly produces amazing visual effects based on heavy and expensive high-end lenses. However, confronted with the increasing demand for mobile scenarios, it is desirable to achieve a lightweight solution wi
Externí odkaz:
http://arxiv.org/abs/2409.09754
Autor:
Jiang, Qi, Gao, Yao, Gao, Shaohua, Yi, Zhonghua, Sun, Lei, Shi, Hao, Yang, Kailun, Wang, Kaiwei, Bai, Jian
Emerging universal Computational Aberration Correction (CAC) paradigms provide an inspiring solution to light-weight and high-quality imaging without repeated data preparation and model training to accommodate new lens designs. However, the training
Externí odkaz:
http://arxiv.org/abs/2409.05809
Autor:
Gao, Shaohua, Jiang, Qi, Liao, Yiqi, Qiu, Yi, Ying, Wanglei, Yang, Kailun, Wang, Kaiwei, Zhang, Benhao, Bai, Jian
We propose a high-performance glass-plastic hybrid minimalist aspheric panoramic annular lens (ASPAL) to solve several major limitations of the traditional panoramic annular lens (PAL), such as large size, high weight, and complex system. The field o
Externí odkaz:
http://arxiv.org/abs/2405.02942
The popularity of mobile vision creates a demand for advanced compact computational imaging systems, which call for the development of both a lightweight optical system and an effective image reconstruction model. Recently, joint design pipelines com
Externí odkaz:
http://arxiv.org/abs/2404.19201
Autor:
Jiang, Qi, Yi, Zhonghua, Gao, Shaohua, Gao, Yao, Qian, Xiaolong, Shi, Hao, Sun, Lei, Niu, JinXing, Wang, Kaiwei, Yang, Kailun, Bai, Jian
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 applicati
Externí odkaz:
http://arxiv.org/abs/2403.10012