1 code implementation • 4 Oct 2023 • Hao Shi, Chengshan Pang, Jiaming Zhang, Kailun Yang, Yuhao Wu, Huajian Ni, Yining Lin, Rainer Stiefelhagen, Kaiwei Wang
Roadside camera-driven 3D object detection is a crucial task in intelligent transportation systems, which extends the perception range beyond the limitations of vision-centric vehicles and enhances road safety.
Ranked #2 on 3D Object Detection on Rope3D
1 code implementation • 11 Jul 2023 • Yaozu Ye, Hao Shi, Kailun Yang, Ze Wang, Xiaoting Yin, Yining Lin, Mao Liu, Yaonan Wang, Kaiwei Wang
We then propose EVA-Flow, an EVent-based Anytime Flow estimation network to produce high-frame-rate event optical flow with only low-frame-rate optical flow ground truth for supervision.
no code implementations • CVPR 2023 • Huanzhang Dou, Pengyi Zhang, Wei Su, Yunlong Yu, Yining Lin, Xi Li
Gait is one of the most promising biometrics that aims to identify pedestrians from their walking patterns.
1 code implementation • 24 Mar 2023 • Ze Shi, Hao Shi, Kailun Yang, Zhe Yin, Yining Lin, Kaiwei Wang
To address this, we propose \textit{PanoVPR}, a perspective-to-equirectangular (P2E) visual place recognition framework that employs sliding windows to eliminate feature truncation caused by hard cropping.
no code implementations • 19 May 2020 • Xixi Xu, Chao Lu, Liang Zhu, xiangyang xue, Guanxian Chen, Qi Guo, Yining Lin, Zhijian Zhao
Most modern Multi-Object Tracking (MOT) systems typically apply REID-based paradigm to hold a balance between computational efficiency and performance.
2 code implementations • 4 Feb 2019 • Liang Zhu, Zhijian Zhao, Chao Lu, Yining Lin, Yao Peng, Tangren Yao
The task of crowd counting in varying density scenes is an extremely difficult challenge due to large scale variations.
no code implementations • 12 Jun 2018 • Xiaoteng Zhang, Yixin Bao, Feiyun Zhang, Kai Hu, Yicheng Wang, Liang Zhu, Qinzhu He, Yining Lin, Jie Shao, Yao Peng
We also propose new non-local-based models for further improvement on the recognition accuracy.