no code implementations • 12 Jul 2020 • Seyed Majid Azimi, Corentin Henry, Lars Sommer, Arne Schumann, Eleonora Vig
We have defined two main tasks on this dataset: dense semantic segmentation and multi-class lane-marking prediction.
1 code implementation • International Conference on Computer Vision Workshops 2019 • Dawei Du, Pengfei Zhu, Longyin Wen, Xiao Bian, Haibin Lin, QinGhua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang
Results of 33 object detection algorithms are presented.
1 code implementation • 16 Jul 2019 • Thomas Golda, Tobias Kalb, Arne Schumann, Jürgen Beyerer
In order to overcome the transfer gap of JTA originating from a low pose variety and less dense crowds, an extension dataset is created to ease the use for real-world applications.
Ranked #14 on Multi-Person Pose Estimation on CrowdPose
1 code implementation • 8 Jun 2018 • Krassimir Valev, Arne Schumann, Lars Sommer, Jürgen Beyerer
Fine-grained vehicle classification is the task of classifying make, model, and year of a vehicle.
2 code implementations • CVPR 2018 • M. Saquib Sarfraz, Arne Schumann, Andreas Eberle, Rainer Stiefelhagen
In contrast to the recent direction of explicitly modeling body parts or correcting for misalignment based on these, we show that a rather straightforward inclusion of acquired camera view and/or the detected joint locations into a convolutional neural network helps to learn a very effective representation.
Ranked #17 on Person Re-Identification on MARS
no code implementations • 19 Jul 2017 • M. Saquib Sarfraz, Arne Schumann, Yan Wang, Rainer Stiefelhagen
The visual cues hinting at attributes can be strongly localized and inference of person attributes such as hair, backpack, shorts, etc., are highly dependent on the acquired view of the pedestrian.
no code implementations • 17 Oct 2016 • Arne Schumann, Shaogang Gong, Tobias Schuchert
Person re-identification (re-id) is the task of matching multiple occurrences of the same person from different cameras, poses, lighting conditions, and a multitude of other factors which alter the visual appearance.
Ranked #5 on Person Re-Identification on CUHK-SYSU