ECCV 2018 Workshop and Challenge:
Person In Context(PIC)

The Chanllenge Website( ) is online now!


        The 1st Person in Context (PIC) Workshop and Challenge will be held in conjunction with ECCV on the afternoon of September 9th 2018, in Munich Germany. Recent years witness the great progress of the perception task such as image classification, object detection and pixel-wise semantic/instance segmentation. It is the right time to go one step further to infer the relations between the objects. Increasingly more efforts are devoted to relation prediction, such as the Visual Genome and Google Open Image challenge. There are mainly two differences between existing relation prediction works and PIC challenge. Firstly, instead of inferring all the relations between any two objects, PIC focuses on estimating human-centric relations, including human-object relation and human-human relations. Each relation is represented by a triple in the form of <Subject, Relation, Object>, such as <Human A, hold, Bottle A> and <Human A, hug, Human B>. In other words, under the definition of PIC, ‘Subject’ in the triple should be human. Secondly, PIC targets at the relation segmentation. More precisely, traditional relation prediction only estimates the bounding box of ‘Subject’ and ‘Object’ while PIC needs estimate their masks (shapes).

Topics of interest
  • 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
  • Relationship prediction
  • Image caption, dense caption
  • Scene parsing, instance segmentation, semantic segmentation
  • 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.


The human-centric dense relation segmentation Challenge

         The images are collected from real-world scenarios, with humans appearing with challenging poses and views, heavily occlusions, various appearances and low-resolutions. We provide TBA images with TBA kinds of labels and TBA kinds of relations. For each image, we have TBA instances and TBA relationships on average. In sum, we label TBA instances and TBA relations. We mainly define 2 kinds of relations, including position relation and action relations. Several example images of the dataset are shown in the following.


1st place

NVIDIA Titan V * 2

2nd place

NVIDIA Titan Xp * 2

3rd place

NVIDIA 1080Ti * 2


Paper Submission:
        8 pages (excluding references)
        LaTex template
        LaTex template(camera ready)
        Submission site:
Challenge Submission:
        Track: The human-centric relation segmentation Challenge

Important date
Dataset Pre-Release: June 1st
Challenge Opens: July 1st
Challenge Deadline: August 1st
Workshop paper submission deadline: August 4th 12th
Review Due: August 11th 14th
Notification to authors: August 13th 15th
Camera ready deadline: August 15th 17th
Workshop date: September 9th


Time Schedule
13:30-13:40 Opening remarks, The Person In Context(PIC) challenge introduction and results
13:40-13:50 Oral talk1: Winner of PIC challenge
13:50-14:00 Oral talk2: Runner-up/third place of PIC challenge
14:00-14:30 Invited talk 1: Bernt Schiele, Max-Planck-Institut für Informatik
14:30-15:00 Invited talk 2: Ming-Hsuan Yang, Professor, University of California at Merced
15:00-15:30 Invited talk 3: Alan Yuille, Professor, Johns Hopkins University
15:30-16:00 Invited talk 4: Jia Deng, Assistant Professor, Princeton University
16:00-16:30 Invited talk 5: Wenjun Zeng, Microsoft Research Asia,
16:30-17:00 Invited talk 6: Tao Mei, Technical Vice President of
17:00-17:10 Awards & Future Plans


Alan Yuille

Bernt Schiele

Jia Deng

Ming-Hsuan Yang

Tao Mei

Wenjun Zeng


Si Liu

Jiashi Feng

Jizhong Han

Shuicheng Yan

Yao Sun

Yue Liao

Lejian Ren

Guanghui Ren