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 "video interpolation using optical flow and laplacian smoothness"):
  Abstract: Non-rigid video interpolation is a common computer vision task. In this paper we present an optical flow approach which adopts a Laplacian Cotangent Mesh constraint to enhance the local smoothness. Similar to Li et al., our approach adopts a mesh to the image with a resolution up to one vertex per pixel and uses angle constraints to ensure sensible local deformations between image pairs. The Laplacian Mesh constraints are expressed wholly inside the optical flow optimization, and can be applied in a straightforward manner to a wide range of image tracking and registration problems. We evaluate our approach by testing on several benchmark datasets, including the Middlebury and Garg et al. datasets. In addition, we show application of our method for constructing 3D Morphable Facial Models from dynamic 3D data.

Includes members:
  Member "nonrigid optical flow ground truth for real world scenes with time varying shading effects":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "blur robust optical flow using motion channel")
  Member "blur robust optical flow using motion channel":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "automatic structural scene digitalization")
  Member "drift robust non rigid optical flow enhancement for long sequences":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ismo gan adversarial learning for monocular non rigid 3d reconstruction")
  Member "dense motion estimation for smoke":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "coupled fluid density and motion from single views")
  Member "towards the design of effective freehand gestural interaction for interactive tv":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "automatic structural scene digitalization")
  Member "touch less interactive augmented reality game on vision based wearable device":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a visually plausible grasping system for object manipulation and interaction in virtual reality environments")

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)