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: "consensus based optimization for 3d human pose estimation in camera coordinates"
  Abstract: 3D human pose estimation is frequently seen as the task of estimating 3D poses relative to the root body joint. Alternatively, in this paper, we propose a 3D human pose estimation method in camera coordinates, which allows effective combination of 2D annotated data and 3D poses, as well as a straightforward multi-view generalization. To that end, we cast the problem into a different perspective, where 3D poses are predicted in the image plane, in pixels, and the absolute depth is estimated in millimeters. Based on this, we propose a consensus-based optimization algorithm for multi-view predictions from uncalibrated images, which requires a single monocular training procedure. Our method improves the state-of-the-art on well known 3D human pose datasets, reducing the prediction error by 32% in the most common benchmark. In addition, we also reported our results in absolute pose position error, achieving 80mm for monocular estimations and 51mm for multi-view, on average.

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)