Following the success of the First WIDER Challenge Workshop , we organize a new round of challenge in conjunction with ICCV 2019. The challenge centers around the problem of precise localization of human faces and bodies, and accurate association of identities. It comprises of four tracks:
Datasets are available at the Codalab site of each challenge track. Submissions to all phases will be done through the CodaLab site. Please register to the site and refer to the instructions on how to download the datasets and submit your results. Also the evaluation metrics of each track would be introduced there.
Link to Codalab: WIDER Face Detection -- WIDER Pedestrian Detection -- WIDER Cast Search by Portrait -- WIDER Person Search by Language
The winner team of each track will receive cash prize and AWS credits. Challenge participants with the most successful and innovative methods will be invited to present at the workshop and to submit a paper to the workshop.
Link to Terms and Conditions.
In the event of any inconsistency between the terms and details of this website and Codalab competition sites, the details on the Codalab sites shall prevail.
For more information, please contact us at wider-challenge@ie.cuhk.edu.hk.
| Time | Programme | Speaker |
|---|---|---|
| 8:50-9:00 | Opening Remarks | |
| 9:00-9:40 | Invited Talk | Person Imagery Search by Text Query Shaogang Gong |
| 9:40-9:50 | Track Introduction | Person Search by Language Hongsheng Li |
| 9:50-10:10 | Spotlight on Winning Solution and Workshop Papers | [First Place] Fusing Two Directions in Cross-domain Adaption for Real Life Person Search by Language. Kai Niu, Yan Huang, Liang Wang |
| [Third Place] Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-directional Text-Image Matching. Xiaojing Yu, Tianlong Chen, Yang Yang, Michael Mugo, Zhangyang Wang | ||
| [Workshop Paper] A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification. T M Feroz Ali, Subhasis Chaudhuri | ||
| 10:10-10:20 | Invited Paper | CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval Zihao Wang, Xihui Liu, Hongsheng Li, Lu Sheng, Junjie Yan, Xiaogang Wang, Jing Shao |
| 10:20-11:00 | Coffee + Posters | |
| 11:00-11:40 | Invited Talk | Person Re-Identification and Tracking in Multiple Non-Overlapping Cameras. Mubarak Shah |
| 11:40-11:50 | Track Introduction | Cast Search by Portrait Qingqiu Huang |
| 11:50-12:15 | Spotlight on Winning Solution and Workshop Papers | [First Place] First Place Winner Solution Xingze Li |
| [Second Place] Second Place Winner Solution Ruiping Wang | ||
| [Third Place] Cast Search via Two-Stream Label Propagation Bing-Jhang Lin | ||
| 12:15-12:25 | Invited Paper | Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification. Yuqian Zhou |
| 12:25-12:35 | Invited Paper | Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification. Zimo Liu |
| 12:35-14:00 | Lunch | |
| 14:00-14:40 | Invited Talk | A history of thinking small Larry Davis |
| 14:40-14:50 | Track Introduction | Face Detection Yuanjun Xiong |
| 14:50-15:25 | Spotlight on Winning Solution and Workshop Papers | [First Place] First Place Winner Solution Yang Liu |
| [Second Place] Single-stage Joint Face Detection and Alignment Jia Guo | ||
| [Third Place] Third Place Winner Solution Pengfei Luo | ||
| [Teasor Track Winner] TBD Xiaojun Zhang | ||
| [Workshop Paper] A Densenet based Robust Face Detection Framework Abhilash Nandy | ||
| 15:25-15:35 | AWS China Introduction | |
| 15:35-16:00 | Coffee + Posters | |
| 16:00-16:40 | Invited Talk | Compositional Models for Activity Detection in Challenging Datasets Alan Yuille |
| 16:40-16:50 | Track Introduction | Pedestrian Detection Wanli Ouyang |
| 16:50-17:20 | Spotlight on Winning Solution and Workshop Papers | [First Place] First Place Winner Solution Ze Chen |
| [Second Place] Second Place Winner Solution Hongsong Wang | ||
| [Third Place] Third Place Winner Solution Haien Zeng | ||
| [Workshop Paper] What Face and Body Shapes Can Tell Us About Height Semih Günel, Helge Rhodin, Pascal Fua | ||
| [Workshop Paper] Bayesian Gait-based Gender Identification (BGGI) Network on Individuals Wearing Loosely Fitted Clothing Amarjot Singh, Aman Kumar, Anisha Jain | ||
| 17:20-17:30 | Invited Paper | Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection Lu Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei, Zhiyong Liu |
| ID | Title | Authors |
|---|---|---|
| 2 | Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-directional Text-Image Matching |
Xiaojing Yu, |
| 3 | What Face and Body Shapes Can Tell Us About Height |
Semih Günel, |
| 5 | Part Matching with Multi-level Attention for Person Re-Identification |
Jiaze Wang |
| 6 | Fusing Two Directions in Cross-domain Adaption for Real Life Person Search by Language |
Kai Niu, |
| 7 | Single-stage Joint Face Detection and Alignment |
Jiankang Deng, |
| 8 | A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification |
T M Feroz Ali, |
| 9 | A Densenet based Robust Face Detection Framework |
Abhilash Nandy |
| 14 | Bayesian Gait-based Gender Identification (BGGI) Network on Individuals Wearing Loosely Fitted Clothing |
Amarjot Singh, |
| 16 | Cast Search via Two-Stream Label Propagation |
Jhih-Ciang Wu, |
| Rank | Score | Team Name | Affiliation | Team Members |
|---|---|---|---|---|
| 1 | 0.5713 | BAIDU VIS | Baidu Inc.; North China Electric Power University; Institute of Automation, CAS | Yang Liu, Xu Tang, Zhihang Li, Bin He, Bi Li, Kangkang Wang, Ran He, Xin Ai, Jingtuo Liu, Junyu Han |
| 2 | 0.5666 | InsightFace | InfiniVision; Imperial College | Jia Guo, Jiankang Deng, Yi Jiang |
| 3 | 0.5634 | cv3ifly | University of Science and Technology of China; iFLYTEK | Pengfei Luo, Yuxin Gu, Changfeng Xi, Ziyang Wu |
| Rank | Score | Team Name | Affiliation | Team Members |
|---|---|---|---|---|
| 1 | 0.6725 | R4D | Megvii Inc.; Peking University; Beijing University of Posts and Telecommunications | Ze Chen, Chu Li, Yan Chen, Zhiyuan Li, Hongkai Zhang, Boxun Li, Zhicheng Wang, Gang Yu |
| 2 | 0.6569 | IIAI_VOS | Inception Institute of Articial Intelligence | Hongsong Wang, Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao |
| 3 | 0.6362 | Z | Sun Yat-sen University | Haien Zeng, Yiran Ding, Wentao Zhang, Xun Liu, Pai Peng |
| Rank | Score | Team Name | Affiliation | Team Members |
|---|---|---|---|---|
| 1 | 0.8730 | MCC_USTC | University of Science and Technology of China; iFLYTEK | Xingze Li, Qiaokang Xie, Ziyang Wu, Lei Lu, Wengang Zhou |
| 2 | 0.8515 | VIPL_ICT | Institute of Computing Technology, CAS; University of Chinese Academy of Sciences | Ruiping Wang, Ruikui Wang, Xiaodong Wu, Ziyi Bai, Shiguang Shan,Xilin Chen |
| 3 | 0.8137 | IIS_CVL | Institute of Information Science, Academia Sinica; National Taiwan University | Bing-Jhang Lin, Bing-Yuan Zeng, Jhih-Ciang Wu, Tyng-Luh Liu, Li-Chen Fu, Chiou-Shann Fuh |
| Rank | Score | Team Name | Affiliation | Team Members |
|---|---|---|---|---|
| 1 | 0.2307 | Plan-Six | Institute of Automation, CAS | Kai Niu, Yan Huang, Da Li, Liang Wang |
| 2 | 0.1314 | ZJU-Challenger | Zhejiang University | Kuncai Zhang, Xuemei Yi |
| 3 | 0.1275 | SummerWalrus | Texas A&M University; Walmart Technology | Xiaojing Yu, Tianlong Chen, Yang Yang, Michael Mugo |
| Rank | Score | Team Name | Affiliation | Team Members |
|---|---|---|---|---|
| 1 | 0.2792 | WeFace | WeBank | Xiaojun Zhang, Yuchong Gu, Zhenwen Zhu |
| 2 | 0.1759 | Airia RuntimeFace | Nanjing Artificial Intelligence Chip Research, Institute of Automation, CAS | Qinghao Hu, Sujuan Wang, Tian Liang, Qiang Chen, Cong Leng, Jian Cheng |
| 3 | 0.1619 | Less | Institute of Automation, CAS | Anda Cheng, Mingchen Zhu, Lei Yin, Qiman Wu |
WIDER Challenge 2019 will be hosted in the beautiful city of Seoul, Korea and it inherits the tradition of previous workshop in providing a fertile ground for leading engineers and scientists from around the world to disseminate their research outcomes and push forward the frontiers of knowledge within these and related areas. The WIDER Challenge Workshop 2019 topics cover but are not limited to:
Papers accepted must be registered and presented to ensure their inclusion in the IEEE Xplore Library. All accepted papers will be presented at the poster session. Selected papers will be presented at the oral session. The format for submission is the same as the ICCV 2019 requirement .
Paper submission and review site: Submission Site .
Click the following tab to see the timetable of the challenge and the workshop.
| Event | Date (Always 11:59 PM Pacific Time) |
|---|---|
| Site Online | May 8, 2019 |
| Release of train data and validation data | May 15, 2019 |
| Validation server online | May 15, 2019 |
| Final test data release, test server online | June 25, 2019 |
| Test results submission deadline, test server closed (except Face Detection Track) | Aug. 1, 2019 |
| Test results submission deadline, test server closed for Face Detection Track | Aug. 8, 2019 |
| Fact sheets submission deadline - Template | Aug. 12, 2019 |
| Final test results release to the participants | Aug. 13, 2019 |
| Event | Date (Always 11:59 PM Pacific Time) |
|---|---|
| Site Online | May 8, 2019 |
| CMT online | July 1, 2019 |
| Paper submission deadline | |
| Notification to authors | |
| Camera ready deadline | |
| Workshop date | Oct. 28, 2019 |
