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 "recent advances in transient imaging a computer graphics and vision perspective"):
  Abstract: Transient imaging has recently made a huge impact in the computer graphics and computer vision fields. By capturing, reconstructing, or simulating light transport at extreme temporal resolutions, researchers have proposed novel techniques to show movies of light in motion, see around corners, detect objects in highly-scattering media, or infer material properties from a distance, to name a few. The key idea is to leverage the wealth of information in the temporal domain at the pico or nanosecond resolution, information usually lost during the capture-time temporal integration. This paper presents recent advances in this field of transient imaging from a graphics and vision perspective, including capture techniques, analysis, applications and simulation.

Includes members:
  Member "optically lightweight tracking of objects around a corner":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deep non line of sight reconstruction")
  Member "frequency domain tof encoding object depth in modulation frequency":
    also connected through other hyperedges:
      (none)
  Member "spatial phase sweep increasing temporal resolution of transient imaging using a light source array":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "virtual wave optics for non line of sight imaging")
  Member "bayesian time of flight for realtime shape illumination and albedo":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "uncertainty depth estimation with gated images for 3d reconstruction")
  Member "resolving multipath interference in time of flight imaging via modulation frequency diversity and sparse regularization":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "deeplidar deep surface normal guided depth prediction for outdoor scene from sparse lidar data and single color image")
  Member "sra fast removal of general multipath for tof sensors":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "very power efficient neural time of flight")
  Member "improvements of the 3d images captured with time of flight cameras":
    also connected through other hyperedges:
      (none)

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)