8 papers indexed
Xiang Chen, Hao Li, Jiangxin Dong, Jinshan Pan, Xin Li, Hongbo Ding, et al.
This paper presents a review of the second LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aims to advance unified image restoration under diverse real-world degradation conditions, including blur, low-light, haze, rain, and snow. It provides a common be…
Shenman Zhang, Qingshan Peng, Mengmeng Duan, Sheng He, Wei He, Yongsheng Yu, et al.
Abstract. With the rapid advancement of Urban Air Mobility (UAM), vision-only UAV object detectors like YOLO often suffer from "context blindness" in complex urban canyons, leading to logical fallacies or missed occluded targets. To address these limitations, this paper proposes…
Yi Wu, Junjie An, Xiao Liu, Yiqun Zhou, Yuechen Wu, Xiaoqing Guan, et al.
In goal-directed embodied navigation, where an agent must locate a specified target in an unseen environment, 3D scene understanding and navigation reasoning must work in concert. Current approaches transmit 3D scene information to vision-language models (VLMs) through text, sugg…
Junjie An, Yi Wu, Xiao Liu, Yiqun Zhou, Yuechen Wu, Xiaoqing Guan, et al.
End-to-end diffusion-based policies have demonstrated strong performance in mapless visual navigation, but their iterative denoising process introduces substantial inference latency, while behavior cloning limits performance to the quality of expert demonstrations. We present Nav…
Zhongwei Ren, Yunchao Wei, Yao Zhao, Weibo Gong, Xiao Liu, Anran Wang, et al.
Learning broad world knowledge directly from raw visual data is a fundamental capability of intelligence. We introduce UniVR, the first investigation into simultaneously learning complex reasoning, fine-grained physical dynamics, and long-term planning from pure visual demonstrat…
Marton Laszlo Ambrus, Xiao Liu, Stuart Hillmansen, Zhongbei Tian
Power-constrained 25kV AC railway sections, particularly under degraded feeding, are protected today by blunt, section-wide power limits that penalise every train irrespective of whether it contributes to the binding condition. This paper presents a real-time, location-aware cont…
Xianliang Huang, Chen Xiao, Yuanxiang Ni, Guanming Liu, Mingkai Liu, Dikai Fan, et al.
Removing unwanted objects from reconstructed 3D scenes is an important task in computer vision, supporting applications in AR/VR, robotics, and digital content creation. Existing methods typically complete the entire masked region in a single step and without effectively utilizin…
Marton Laszlo Ambrus, Xiao Liu, Stuart Hillmansen, Zhongbei Tian
Decarbonisation is raising the electrical load on mainline alternating-current railway feeders that were not designed for sustained, simultaneous high-power demand. When several trains accelerate together on a shared feeder, the contact-line voltage can fall far enough to trigger…