no code implementations • 24 Aug 2023 • Ximeng Sun, Kihyuk Sohn, Kate Saenko, Clayton Mellina, Xiao Bian
How should the label budget (i. e. the amount of money spent on labeling) be allocated among different tasks to achieve optimal multi-task performance?
2 code implementations • ICLR 2021 • Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
We demonstrate the effectiveness of the proposed pseudo-labeling strategy in both low-data and high-data regimes.
no code implementations • ECCV 2020 • Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling
Real-world data often follow a long-tailed distribution as the frequency of each class is typically different.
Ranked #24 on Long-tail Learning on Places-LT
2 code implementations • 16 Jan 2020 • Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, QinGhua Hu, Haibin Ling
We provide a large-scale drone captured dataset, VisDrone, which includes four tracks, i. e., (1) image object detection, (2) video object detection, (3) single object tracking, and (4) multi-object tracking.
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.
no code implementations • 10 Dec 2018 • Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu
The majority of Multi-Object Tracking (MOT) algorithms based on the tracking-by-detection scheme do not use higher order dependencies among objects or tracklets, which makes them less effective in handling complex scenarios.
no code implementations • 6 Nov 2018 • Wenbo Li, Longyin Wen, Xiao Bian, Siwei Lyu
Video style transfer is a useful component for applications such as augmented reality, non-photorealistic rendering, and interactive games.
no code implementations • 16 Sep 2018 • Yuezun Li, Xiao Bian, Ming-Ching Chang, Siwei Lyu
In this paper, we focus on exploring the vulnerability of the Single Shot Module (SSM) commonly used in recent object detectors, by adding small perturbations to patches in the background outside the object.
no code implementations • 16 Sep 2018 • Yuezun Li, Daniel Tian, Ming-Ching Chang, Xiao Bian, Siwei Lyu
Adversarial noises are useful tools to probe the weakness of deep learning based computer vision algorithms.
no code implementations • ECCV 2018 • Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li
Pedestrian detection in crowded scenes is a challenging problem since the pedestrians often gather together and occlude each other.
Ranked #10 on Pedestrian Detection on Caltech (using extra training data)
no code implementations • 20 Apr 2018 • Pengfei Zhu, Longyin Wen, Xiao Bian, Haibin Ling, QinGhua Hu
In this paper we present a large-scale visual object detection and tracking benchmark, named VisDrone2018, aiming at advancing visual understanding tasks on the drone platform.
12 code implementations • CVPR 2018 • Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li
For object detection, the two-stage approach (e. g., Faster R-CNN) has been achieving the highest accuracy, whereas the one-stage approach (e. g., SSD) has the advantage of high efficiency.
Ranked #175 on Object Detection on COCO test-dev
no code implementations • 31 Mar 2014 • Xiao Bian, Hamid Krim
Successful applications of sparse models in computer vision and machine learning imply that in many real-world applications, high dimensional data is distributed in a union of low dimensional subspaces.