no code implementations • 19 Mar 2024 • Jingyu Lin, Jiaqi Gu, Bojian Wu, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye
We introduce a novel neural volumetric pose feature, termed PoseMap, designed to enhance camera localization by encapsulating the information between images and the associated camera poses.
no code implementations • 2 Sep 2022 • Zheng Liu, Yaowu Zhao, Sijing Zhan, Yuanyuan Liu, Renjie Chen, Ying He
Motivated by the essential interplay between point cloud denoising and normal filtering, we revisit point cloud denoising from a multitask perspective, and propose an end-to-end network, named PCDNF, to denoise point clouds via joint normal filtering.
no code implementations • 23 Aug 2022 • Hongcheng Guo, Yuhui Guo, Renjie Chen, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Weichao Hou, Liangfan Zheng, Bo Zhang
Experiments on five benchmarks validate the effectiveness of LogLG for detecting anomalies on unlabeled log data and demonstrate that LogLG, as the state-of-the-art weakly supervised method, achieves significant performance improvements compared to existing methods.
no code implementations • 29 Sep 2021 • Lu Chen, Renjie Chen, Hang Guo, Yuan Luo, Quanshi Zhang, Yisen Wang
Adversarial examples have attracted significant attention over the years, yet a sufficient understanding is in lack, especially when analyzing their performances in combination with adversarial training.
no code implementations • 29 Sep 2021 • Renjie Chen, Yuan Luo, Yisen Wang
After adversarial training was proposed, a series of works focus on improving the compunational efficiency of adversarial training for deep neural networks (DNNs).
no code implementations • 17 Jul 2019 • Renjie Chen, Jingyue Zhang, Nalini Ravishanker, Karthik Konduri
Over the last few years, traffic data has been exploding and the transportation discipline has entered the era of big data.
no code implementations • 18 Dec 2018 • Renjie Chen, Craig Gotsman
Fastest-path queries between two points in a very large road map is an increasingly important primitive in modern transportation and navigation systems, thus very efficient computation of these paths is critical for system performance and throughput.
no code implementations • 2 Oct 2018 • Renjie Chen, Craig Gotsman
We introduce a simple, but very effective, heuristic function based on a small number of values assigned to each graph vertex.
no code implementations • ICCV 2017 • Xiaojun Chen, Joshua Zhexue Haung, Feiping Nie, Renjie Chen, Qingyao Wu
In the new method, a self-balanced min-cut model is proposed in which the Exclusive Lasso is implicitly introduced as a balance regularizer in order to produce balanced partition.