1 code implementation • 15 Jan 2025 • Zihao Xu, Yuzhi Tang, Bowen Xu, Qingquan Li
To address this, we propose a diffusion model guided by neural operators for continuous remote sensing image super-resolution (NeurOp-Diff).
no code implementations • 10 Jul 2024 • Jin Liu, Qingquan Li, Wenlong Du
In current benchmarks for evaluating large language models (LLMs), there are issues such as evaluation content restriction, untimely updates, and lack of optimization guidance.
no code implementations • 7 Apr 2024 • ChenGuang Liu, Chisheng Wang, Feifei Dong, Xiayang Xiao, Xin Su, Chuanhua Zhu, Dejin Zhang, Qingquan Li
The efficiency of our model is further demonstrated by the experiments for edge detection in SAR images, which serves as an important evidence showing the meaningfulness of this work as no useful pre-trained weight is available for edge detection in SAR images.
1 code implementation • 24 Oct 2023 • Qingquan Li, Yiran Hu, Feng Yao, Chaojun Xiao, Zhiyuan Liu, Maosong Sun, Weixing Shen
Furthermore, the case similarities are typically measured solely by the textual semantics of the fact descriptions, which may fail to capture the full complexity of legal cases from the perspective of legal knowledge.
no code implementations • 10 Jul 2023 • San Jiang, Yichen Ma, Qingquan Li, Wanshou Jiang, Bingxuan Guo, Lelin Li, Lizhe Wang
Finally, the performance of the proposed solution has been verified using three large-scale UAV datasets.
1 code implementation • 12 Nov 2022 • Luxi Li, Qin Zou, Fan Zhang, Hongkai Yu, Long Chen, Chengfang Song, Xianfeng Huang, Xiaoguang Wang, Qingquan Li
The proposed approach is evaluated against the current state-of-the-art image inpainting methods.
no code implementations • 24 Jun 2022 • Qingquan Li, Wenshuai Yu, San Jiang
Besides, the case study in Qingdao city verifies that optimized views photogrammetry can be a reliable and powerful solution for the large-scale 3D modeling in complex urban scenes.
no code implementations • 23 Jun 2022 • San Jiang, Qingquan Li, Wanshou Jiang, Wu Chen
This paper proposes an algorithm to extract the global model for cluster merging and designs a parallel SfM solution to achieve efficient and accurate UAV image orientation.
no code implementations • 9 Feb 2022 • Xinyu Li, Yang Xu, Xiaohu Zhang, Wenzhong Shi, Yang Yue, Qingquan Li
As an important task for the management of bike sharing systems, accurate forecast of travel demand could facilitate dispatch and relocation of bicycles to improve user satisfaction.
no code implementations • 10 Jun 2021 • Mengyuan Fang, Luliang Tang, Zihan Kan, Xue Yang, Tao Pei, Qingquan Li, Chaokui Li
As an important spatial analysis approach, the clustering methods of point events have been extended to OD flows to identify the dominant trends and spatial structures of urban mobility.
no code implementations • 9 Nov 2020 • Qing Li, Jiasong Zhu, Jun Liu, Rui Cao, Qingquan Li, Sen Jia, Guoping Qiu
Despite the rapid progress in this topic, there are lacking of a comprehensive review, which is needed to summarize the current progress and provide the future directions.
no code implementations • 15 Feb 2019 • Rui Cao, Qian Zhang, Jiasong Zhu, Qing Li, Qingquan Li, Bozhi Liu, Guoping Qiu
With the rapid growing of remotely sensed imagery data, there is a high demand for effective and efficient image retrieval tools to manage and exploit such data.
no code implementations • 4 Jan 2019 • Qing Li, Jiasong Zhu, Rui Cao, Ke Sun, Jonathan M. Garibaldi, Qingquan Li, Bozhi Liu, Guoping Qiu
6DOF camera relocalization is an important component of autonomous driving and navigation.
1 code implementation • 1 Nov 2018 • Qin Zou, Yanling Wang, Qian Wang, Yi Zhao, Qingquan Li
Specifically, a hybrid deep neural network is proposed for robust gait feature representation, where features in the space and time domains are successively abstracted by a convolutional neural network and a recurrent neural network.
no code implementations • 22 Oct 2018 • Qingquan Li, Qin Zou, De Ma, Qian Wang, Song Wang
Cultural heritage is the asset of all the peoples of the world.
no code implementations • 31 Oct 2016 • Qin Zou, Lihao Ni, Qian Wang, Qingquan Li, Song Wang
We propose two new algorithms, namely EigenGait and TrajGait, to extract gait features from the inertial data and the RGBD (color and depth) data, respectively.
no code implementations • 26 Aug 2016 • Qin Zou, Zheng Zhang, Qian Wang, Qingquan Li, Long Chen, Song Wang
Specifically, a classification-based model is proposed to quantify the influence of different visual stimuli, in which each visual stimulus's influence is quantified by its corresponding accuracy in fashion classification.
no code implementations • 22 Apr 2015 • Xianbiao Qi, Guoying Zhao, Linlin Shen, Qingquan Li, Matti Pietikainen
It is worth to mention that we achieve a 65. 4\% classification accuracy-- which is, to the best of our knowledge, the highest record by far --on Flickr Material Database by using a single feature.