human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "temporal saliency adaptation in egocentric videos"
  Abstract: This  work  adapts  a  deep  neural  model  for  image  saliency#R##N#prediction to the temporal domain of egocentric video. We compute the#R##N#saliency  map  for  each  video  frame,  firstly  with  an  off-the-shelf  model#R##N#trained  from  static  images,  secondly  by  adding  a  a  convolutional  or#R##N#conv-LSTM layers trained with a dataset for video saliency prediction.#R##N#We study each configuration on EgoMon, a new dataset made of seven#R##N#egocentric  videos  recorded  by  three  subjects  in  both  free-viewing  and#R##N#task-driven set ups. Our results indicate that the temporal adaptation is#R##N#beneficial when the viewer is not moving and observing the scene from#R##N#a narrow field of view. Encouraged by this observation, we compute and#R##N#publish the saliency maps for the EPIC Kitchens dataset, in which view-#R##N#ers are cooking.

Question: Please tell me which class the center node 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)