Zobrazeno 1 - 10
of 425
pro vyhledávání: '"Yang, Kailun"'
Autor:
Peng, Kunyu, Wen, Di, Yang, Kailun, Luo, Ao, Chen, Yufan, Fu, Jia, Sarfraz, M. Saquib, Roitberg, Alina, Stiefelhagen, Rainer
In Open-Set Domain Generalization (OSDG), the model is exposed to both new variations of data appearance (domains) and open-set conditions, where both known and novel categories are present at test time. The challenges of this task arise from the dua
Externí odkaz:
http://arxiv.org/abs/2409.17555
This paper presents P2U-SLAM, a visual Simultaneous Localization And Mapping (SLAM) system with a wide Field of View (FoV) camera, which utilizes pose uncertainty and point uncertainty. While the wide FoV enables considerable repetitive observations
Externí odkaz:
http://arxiv.org/abs/2409.10143
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
Online High-Definition (HD) maps have emerged as the preferred option for autonomous driving, overshadowing the counterpart offline HD maps due to flexible update capability and lower maintenance costs. However, contemporary online HD map models embe
Externí odkaz:
http://arxiv.org/abs/2409.08688
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:
Wang, Ze, Li, Yang, Xu, Long, Shi, Hao, Ma, Zunwang, Chu, Zhen, Li, Chao, Gao, Fei, Yang, Kailun, Wang, Kaiwei
Dynamic jumping on high platforms and over gaps differentiates legged robots from wheeled counterparts. Compared to walking on rough terrains, dynamic locomotion on abrupt surfaces requires fusing proprioceptive and exteroceptive perception for explo
Externí odkaz:
http://arxiv.org/abs/2408.00486
Autor:
Cao, Yihong, Zhang, Jiaming, Shi, Hao, Peng, Kunyu, Zhang, Yuhongxuan, Zhang, Hui, Stiefelhagen, Rainer, Yang, Kailun
Panoramic images can broaden the Field of View (FoV), occlusion-aware prediction can deepen the understanding of the scene, and domain adaptation can transfer across viewing domains. In this work, we introduce a novel task, Occlusion-Aware Seamless S
Externí odkaz:
http://arxiv.org/abs/2407.02182
Autor:
Zheng, Junwei, Liu, Ruiping, Chen, Yufan, Peng, Kunyu, Wu, Chengzhi, Yang, Kailun, Zhang, Jiaming, Stiefelhagen, Rainer
Panoramic images, capturing a 360{\deg} field of view (FoV), encompass omnidirectional spatial information crucial for scene understanding. However, it is not only costly to obtain training-sufficient dense-annotated panoramas but also application-re
Externí odkaz:
http://arxiv.org/abs/2407.02685
Autor:
Peng, Kunyu, Fu, Jia, Yang, Kailun, Wen, Di, Chen, Yufan, Liu, Ruiping, Zheng, Junwei, Zhang, Jiaming, Sarfraz, M. Saquib, Stiefelhagen, Rainer, Roitberg, Alina
We introduce a new task called Referring Atomic Video Action Recognition (RAVAR), aimed at identifying atomic actions of a particular person based on a textual description and the video data of this person. This task differs from traditional action r
Externí odkaz:
http://arxiv.org/abs/2407.01872
Autor:
Yang, Fan, Chen, Wenrui, Yang, Kailun, Lin, Haoran, Luo, DongSheng, Tang, Conghui, Li, Zhiyong, Wang, Yaonan
To enable robots to use tools, the initial step is teaching robots to employ dexterous gestures for touching specific areas precisely where tasks are performed. Affordance features of objects serve as a bridge in the functional interaction between ag
Externí odkaz:
http://arxiv.org/abs/2407.00614