human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "analysis of the hands in egocentric vision a survey"):
  Abstract: Egocentric vision (a.k.a. first-person vision - FPV) applications have thrived over the past few years, thanks to the availability of affordable wearable cameras and large annotated datasets. The position of the wearable camera (usually mounted on the head) allows recording exactly what the camera wearers have in front of them, in particular hands and manipulated objects. This intrinsic advantage enables the study of the hands from multiple perspectives: localizing hands and their parts within the images; understanding what actions and activities the hands are involved in; and developing human-computer interfaces that rely on hand gestures. In this survey, we review the literature that focuses on the hands using egocentric vision, categorizing the existing approaches into: localization (where are the hands or part of them?); interpretation (what are the hands doing?); and application (e.g., systems that used egocentric hand cues for solving a specific problem). Moreover, a list of the most prominent datasets with hand-based annotations is provided.

Includes members:
  Member "an effective and efficient method for detecting hands in egocentric videos for rehabilitation applications":
    also connected through other hyperedges:
      (none)
  Member "recurrent u net for resource constrained segmentation":
    also connected through other hyperedges:
      (none)
  Member "h o unified egocentric recognition of 3d hand object poses and interactions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "hand priming in object localization for assistive egocentric vision")
  Member "domain specific priors and meta learning for low shot first person action recognition":
    also connected through other hyperedges:
      (none)
  Member "egocentric hand track and object based human action recognition":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "multitask learning to improve egocentric action recognition")
  Member "egocentric video a new tool for capturing hand use of individuals with spinal cord injury at home":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "an effective and efficient method for detecting hands in egocentric videos for rehabilitation applications")
  Member "scaling egocentric vision the epic kitchens dataset":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "learning to learn words from visual scenes")
  Member "analysis of hand segmentation in the wild":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "pushing the envelope for rgb based dense 3d hand pose estimation via neural rendering")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CV(Computer Vision and Pattern Recognition)