human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "First International Workshop on Video Segmentation - Panel Discussion"
  Abstract: Interest in video segmentation has grown significantly in recent years, resulting in a large body of works along with advances in both methods and datasets. Progress in video segmentation would enable new approaches to building 3D object models from video, understanding dynamic scenes, robot-object interaction and several other high-level vision tasks. The workshop brought together a broad and representative group of video segmentation researchers working on a wide range of topics. This paper summarizes the panel discussion at the workshop, which focused on three questions: (1) Why does video segmentation currently not meet the performance of image segmentation and what difficulties prevent it from leveraging motion? (2) Is video segmentation a stand-alone problem or should it rather be addressed in combination with recognition and reconstruction? (3) Which are the right video segmentation subtasks the field should focus on, and how can we measure progress?

Connected through hyperedge HE-1 (induced by source paper "Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions"):
  with members:
    - "Category independent object proposals"
    - "Unsupervised pixel-level video foreground object segmentation via shortest path algorithm"
    - "SegFlow: Joint Learning for Video Object Segmentation and Optical Flow"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science