Zobrazeno 1 - 10
of 4 957
pro vyhledávání: '"LI, Zhijun"'
The task of point cloud upsampling (PCU) is to generate dense and uniform point clouds from sparse input captured by 3D sensors like LiDAR, holding potential applications in real yet is still a challenging task. Existing deep learning-based methods h
Externí odkaz:
http://arxiv.org/abs/2410.15941
Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations without reliance on manual annotations. However, current approaches face challenges such as limited data diversity and inadequate augmentat
Externí odkaz:
http://arxiv.org/abs/2409.04963
Outdoor sports pose a challenge for people with impaired vision. The demand for higher-speed mobility inspired us to develop a vision-based wearable steering assistance. To ensure broad applicability, we focused on a representative sports environment
Externí odkaz:
http://arxiv.org/abs/2408.00332
Autor:
Zou, Tianpei, Qu, Sanqing, Li, Zhijun, Knoll, Alois, He, Lianghua, Chen, Guang, Jiang, Changjun
Publikováno v:
ECCV 2024
3D point cloud segmentation has received significant interest for its growing applications. However, the generalization ability of models suffers in dynamic scenarios due to the distribution shift between test and training data. To promote robustness
Externí odkaz:
http://arxiv.org/abs/2407.12387
We consider the problem of user-adaptive 3D gaze estimation. The performance of person-independent gaze estimation is limited due to interpersonal anatomical differences. Our goal is to provide a personalized gaze estimation model specifically adapte
Externí odkaz:
http://arxiv.org/abs/2406.09481
Autor:
Li, Zhijun, You, Zhengyun
Exotic physics typically encompasses two categories of exotic particles: ``dark" particles beyond the standard model and exotic hadrons within the extended standard model. We present a summary of the recent results on exotic particles at BESIII, whic
Externí odkaz:
http://arxiv.org/abs/2405.07170
Autor:
Li, Zhijun, You, Zhengyun
The rare and forbidden processes within the Standard Model offer an opportunity to explore potential new physics beyond the SM. We summarize the research method and the recent results of rare charm decays at BESIII based on the extensive data samples
Externí odkaz:
http://arxiv.org/abs/2403.11597
Image research has shown substantial attention in deblurring networks in recent years. Yet, their practical usage in real-world deblurring, especially motion blur, remains limited due to the lack of pixel-aligned training triplets (background, blurre
Externí odkaz:
http://arxiv.org/abs/2402.06854
Autor:
Li, Yuanchun, Wen, Hao, Wang, Weijun, Li, Xiangyu, Yuan, Yizhen, Liu, Guohong, Liu, Jiacheng, Xu, Wenxing, Wang, Xiang, Sun, Yi, Kong, Rui, Wang, Yile, Geng, Hanfei, Luan, Jian, Jin, Xuefeng, Ye, Zilong, Xiong, Guanjing, Zhang, Fan, Li, Xiang, Xu, Mengwei, Li, Zhijun, Li, Peng, Liu, Yang, Zhang, Ya-Qin, Liu, Yunxin
Since the advent of personal computing devices, intelligent personal assistants (IPAs) have been one of the key technologies that researchers and engineers have focused on, aiming to help users efficiently obtain information and execute tasks, and pr
Externí odkaz:
http://arxiv.org/abs/2401.05459
The Vision Transformer (ViT) excels in accuracy when handling high-resolution images, yet it confronts the challenge of significant spatial redundancy, leading to increased computational and memory requirements. To address this, we present the Locali
Externí odkaz:
http://arxiv.org/abs/2402.00033