CVPR 2017 Workshop On Visual Understanding of Humans in Crowd Scene & the 1st Look Into Person (LIP) Challenge
Developing solutions to comprehensive human visual understanding in the wild scenarios, regarded as one of the most fundamental problems in compute vision, could have a crucial impact in many industrial application domains, such as autonomous driving, virtual reality, video surveillance, human-computer interaction and human behavior analysis. For example, human parsing and pose estimation are often regarded as the very first step for higher-level activity/event recognition and detection. Nonetheless, a large gap seems to exist between what is needed by the real-life applications and what is achievable based on modern computer vision techniques. The goal of this workshop is to allow researchers from the fields of human visual understanding and other disciplines to present their progress, communication and co-develop novel ideas that potentially shape the future of this area and further advance the performance and applicability of correspondingly built systems in real-world conditions.
To stimulate the progress on this research topic and attract more talents to work on this topic, we will also provide a first standard human parsing and pose benchmark on a new large-scale Look Into Person (LIP) dataset. This dataset is both larger and more challenging than similar previous ones in the sense that the new dataset contains 50,000 images with elaborated pixel-wise annotations with comprehensive 19 semantic human part labels and 2D human poses with 16 dense key points. The images collected from the real-world scenarios contain humans appearing with challenging poses and views, heavily occlusions, various appearances and low-resolutions. Details on the annotated classes and examples of our annotations are available at this link http://hcp.sysu.edu.cn/lip/. The challenge is conjunction with CVPR 2017 , Honolulu, Hawaii. Challenge participants with the most successful and innovative entries will be invited to present on this workshop.
Regarding the viability of this workshop, the topic of this workshop is attractive and active. It is very possible that many active researchers would like to attend this workshop (actually the expected number of attendees is 100 from a conservative estimation based on the past publication record on related topics). It is related to yet still clearly different from past workshops as explained below. In addition, we have got confirmation from many renowned professors and researchers in this area and they are either glad to give a keynote speech (as listed in the program) or kindly offer help. We believe this workshop will be a very successful one and it will indeed benefit the progress of this research area significantly.
Topics of interest
The submission are expected to deal with human-centric visual perception and processing tasks which include but are not limited to:
Multi-person parsing and pose estimation
2D/3D human pose estimations from the single RGB/Depth images or videos
Pedestrian detection in the wild scenarios
Human action recognition and trajectory recognition/prediction
Human re-identification in crowd videos and cross-view cameras
3D human body shape estimation and simulation
Human clothing and attribute Recognition
Person re-identification, face recognition/verification in surveillance videos
Novel datasets for performance evaluation and/or empirical analyses of existing methods
Advanced applications of human understanding, including autonomous cars, event recognition and prediction, robotic manipulation, indoor navigation, image/video retrieval and virtual reality.
08:40-09:00 The Look Into Person (LIP) challenge introduction and results
09:00-09:15 Oral talk 1: Winner of LIP challenge
09:15-10:00 Invited talk 1: Alan Yuille, Johns Hopkins University
10:00-10:30 Poster session and coffee break
10:30-11:15 Invited talk 2: Trevor Darrell, University of California, Berkeley
11:15-12:00 Invited talk 3: Xiaogang Wang, Chinese University of Hong Kong
13:00-13:45 Invited talk 4: Yaser Sheikh, Carnegie Mellon University
14:45-14:30 Invited talk 5: Shuicheng Yan, National University of Singapore, Qihoo/360
14:30-15:15 Invited talk 6: Abhinav Gupta, Carnegie Mellon University
15:15-15:45 Poster session and coffee break
15:45-16:30 Invited talk 7: Shaogang Sean Gong, Queen Mary University of London
16:30-16:45 Oral talk 2
16:45-17:00 Oral talk 3
17:00-17:15 Awards & Future Plans
1. Double blind review: Paper reviewing is double-blind. So please avoid providing information that may identify the authors in the acknowledgments (e.g., co-workers and grant IDs) and in the supplemental material (e.g., titles in the movies, or attached papers). Avoid providing links to websites that identify the authors. Please read the example paper egpaper_for_review.pdf for detailed instructions on how to preserve anonymity. 2. Requirements: ① Your paper should not be more than 8 pages (excluding references). ② The maximum size of the abstract is 4000 characters. ③ The paper must be PDF only (maximum 30MB). ④ The supplementary material can be either PDF or ZIP only (maximum 100MB). ⑤ If your submission has co-authors, please make sure that you enter their email addresses that correspond exactly to their account names (assuming they have created accounts). This will ensure that your co-authors can see your submission when they log in. Co-authors must also have their conflict domains entered. 3. All the papers must be submitted in IEEE format using the templates provided. Submitted papers should not have been published, accepted or under review elsewhere. 4. For more detailed instructions for paper submission, please consult CVPR 2017 web page. 5. All the papers should be submitted at our CMT site. 3. Deadline: ① Paper Submission Deadline: May 5th, 2017. ② Paper Acceptance Notification: May 10th, 2017. ③ Camera-ready Paper Submission Deadline: May 18th, 2017.
· The details of each task and submission format as well as the whole LIP dataset are provided on our evaluation server. The deadline of submission is June 4th, 2017. To guarantee fairness of the LIP challenge of our CVPR'17 workshop, the submitted results can only be seen by the submitters, all of which will be presented on this leaderboard after the submission deadline. Welcome to contact us at email@example.com if you have any questions for the submission.
· Please visit our LIP website to submit your work.