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 "humbi a large multiview dataset of human body expressions"):
  Abstract: This paper presents a new large multiview dataset called HUMBI for human body expressions with natural clothing. The goal of the HUMBI is to facilitate modeling view specific appearance and geometry of gaze, face, hand, body, and garment from assorted people. 107 synchronized high-definition cameras (70 cameras facing at the front body) are used to capture 772 distinctive subjects across gender, ethnicity, age, and physical condition. With the multiview image streams, we reconstruct high fidelity body expressions using 3D mesh models, which allows representing view specific appearance using their canonical atlas. We demonstrate that the HUMBI is highly effective in learning and reconstructing a complete human model and is complementary to the existing datasets of human expressions with sparse views or limited subjects such as MPII Gaze, Multi-PIE, Human 3.6M, and Panoptic Studio datasets.

Includes members:
  Member "freihand a dataset for markerless capture of hand pose and shape from single rgb images":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "attention a lightweight 2d hand pose estimation approach")
  Member "self supervised adaptation of high fidelity face models for monocular performance tracking":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a baseline for 3d multi object tracking")
  Member "learning joint reconstruction of hands and manipulated objects":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "robust occlusion aware pose estimation for objects grasped by adaptive hands")
  Member "towards social artificial intelligence nonverbal social signal prediction in a triadic interaction":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "improving social awareness through dante a deep affinity network for clustering conversational interactants")
  Member "total capture a 3d deformation model for tracking faces hands and bodies":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deepcap monocular human performance capture using weak supervision")
  Member "deep appearance models for face rendering":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "neural human video rendering joint learning of dynamic textures and rendering to video translation")
  Member "joint 3d face reconstruction and dense alignment with position map regression network":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "searching central difference convolutional networks for face anti spoofing")
  Member "learning to estimate 3d hand pose from single rgb images":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "rotation invariant mixed graphical model network for 2d hand pose estimation")

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)