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pro vyhledávání: '"Yang, JiaQi"'
Autor:
Yang, Jiaqi, Liang, Enming, Su, Zicheng, Zou, Zhichao, Zhen, Peng, Guo, Jiecheng, Ma, Wanjing, An, Kun
Decision-focused learning (DFL) offers an end-to-end approach to the predict-then-optimize (PO) framework by training predictive models directly on decision loss (DL), enhancing decision-making performance within PO contexts. However, the implementat
Externí odkaz:
http://arxiv.org/abs/2501.01874
Quantum process tomography (QPT), used for reconstruction of an unknown quantum process from measurement data, is a fundamental tool for the diagnostic and full characterization of quantum systems. It relies on querying a set of quantum states as inp
Externí odkaz:
http://arxiv.org/abs/2412.20925
Diffusion-based audio-driven talking avatar methods have recently gained attention for their high-fidelity, vivid, and expressive results. However, their slow inference speed limits practical applications. Despite the development of various distillat
Externí odkaz:
http://arxiv.org/abs/2412.16915
Autor:
Yang, Jiaqi, Zhang, Chu'ai, Wang, Zhengbao, Cao, Xinyue, Ouyang, Xuan, Zhang, Xiyu, Zeng, Zhenxuan, Zeng, Zhao, Lu, Borui, Xia, Zhiyi, Zhang, Qian, Guo, Yulan, Zhang, Yanning
3D point cloud registration is a fundamental problem in computer vision, computer graphics, robotics, remote sensing, and etc. Over the last thirty years, we have witnessed the amazing advancement in this area with numerous kinds of solutions. Althou
Externí odkaz:
http://arxiv.org/abs/2412.13735
Accurate segmentation of Optical Coherence Tomography (OCT) images is crucial for diagnosing and monitoring retinal diseases. However, the labor-intensive nature of pixel-level annotation limits the scalability of supervised learning with large datas
Externí odkaz:
http://arxiv.org/abs/2411.12615
Autor:
da Veiga, Hugo Beirão, Yang, Jiaqi
Recently Qi S. Zhang provides examples of solutions to the Navier-Stokes equations which, under suitable hypothesis, blow up in finite time. He considers axially symmetric solutions in a cylinder $D\,$ under appropriate boundary conditions and under
Externí odkaz:
http://arxiv.org/abs/2411.10823
Point cloud data now are popular data representations in a number of three-dimensional (3D) vision research realms. However, due to the limited performance of sensors and sensing noise, the raw data usually suffer from sparsity, noise, and incomplete
Externí odkaz:
http://arxiv.org/abs/2411.00857
In the realm of computer vision, the perception and reconstruction of the 3D world through vision signals heavily rely on camera intrinsic parameters, which have long been a subject of intense research within the community. In practical applications,
Externí odkaz:
http://arxiv.org/abs/2409.19641
Autor:
Liu, Tao, Yuan, Runze, Ju, Yi'ang, Xu, Xun, Yang, Jiaqi, Meng, Xiangting, Lagorce, Xavier, Kneip, Laurent
Reliable self-localization is a foundational skill for many intelligent mobile platforms. This paper explores the use of event cameras for motion tracking thereby providing a solution with inherent robustness under difficult dynamics and illumination
Externí odkaz:
http://arxiv.org/abs/2409.19228
While large visual models (LVM) demonstrated significant potential in image understanding, due to the application of large-scale pre-training, the Segment Anything Model (SAM) has also achieved great success in the field of image segmentation, suppor
Externí odkaz:
http://arxiv.org/abs/2409.05393