Zobrazeno 1 - 10
of 17 304
pro vyhledávání: '"ZHAO, BIN"'
Numerical stability is of great significance for discrete-time dynamic vehicle model. Among the unstable factors, low-speed singularity stands out as one of the most challenging issues, which arises from that the denominator of tire side angle term o
Externí odkaz:
http://arxiv.org/abs/2411.17334
Open-vocabulary 3D scene understanding is indispensable for embodied agents. Recent works leverage pretrained vision-language models (VLMs) for object segmentation and project them to point clouds to build 3D maps. Despite progress, a point cloud is
Externí odkaz:
http://arxiv.org/abs/2411.16253
Night-to-Day translation (Night2Day) aims to achieve day-like vision for nighttime scenes. However, processing night images with complex degradations remains a significant challenge under unpaired conditions. Previous methods that uniformly mitigate
Externí odkaz:
http://arxiv.org/abs/2411.14504
This paper introduces a vibrotactile belt for interpersonal synchronization of breath. It can synchronize the breathing tempo of two people by transferring breathing rhythm of one user to vibration signals of another belt, where the depth of breathin
Externí odkaz:
http://arxiv.org/abs/2411.05135
Autor:
Chen, Qizhi, Qu, Delin, Tang, Yiwen, Song, Haoming, Zhang, Yiting, Wang, Dong, Zhao, Bin, Li, Xuelong
Reconstructing controllable Gaussian splats from monocular video is a challenging task due to its inherently insufficient constraints. Widely adopted approaches supervise complex interactions with additional masks and control signal annotations, limi
Externí odkaz:
http://arxiv.org/abs/2410.22070
The computational burden of the iterative sampling process remains a major challenge in diffusion-based Low-Light Image Enhancement (LLIE). Current acceleration methods, whether training-based or training-free, often lead to significant performance d
Externí odkaz:
http://arxiv.org/abs/2410.12346
Aerial Vision-and-Language Navigation (VLN) is a novel task enabling Unmanned Aerial Vehicles (UAVs) to navigate in outdoor environments through natural language instructions and visual cues. It remains challenging due to the complex spatial relation
Externí odkaz:
http://arxiv.org/abs/2410.08500
Autor:
Wu, Ziniu, Wang, Tianyu, Zhaxizhuoma, Guan, Chuyue, Jia, Zhongjie, Liang, Shuai, Song, Haoming, Qu, Delin, Wang, Dong, Wang, Zhigang, Cao, Nieqing, Ding, Yan, Zhao, Bin, Li, Xuelong
Collecting real-world manipulation trajectory data involving robotic arms is essential for developing general-purpose action policies in robotic manipulation, yet such data remains scarce. Existing methods face limitations such as high costs, labor i
Externí odkaz:
http://arxiv.org/abs/2409.19499
Despite the impressive advancements made in recent low-light image enhancement techniques, the scarcity of paired data has emerged as a significant obstacle to further advancements. This work proposes a mean-teacher-based semi-supervised low-light en
Externí odkaz:
http://arxiv.org/abs/2409.16604
Leveraging the powerful reasoning capabilities of large language models (LLMs), recent LLM-based robot task planning methods yield promising results. However, they mainly focus on single or multiple homogeneous robots on simple tasks. Practically, co
Externí odkaz:
http://arxiv.org/abs/2409.15146