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3D attention-driven depth acquisition for object identification., , , , , , , , and . ACM Trans. Graph., 35 (6): 238 (2016)Recurrent 3D Attentional Networks for End-to-End Active Object Recognition in Cluttered Scenes., , , and . CoRR, (2016)Autoscanning for coupled scene reconstruction and proactive object analysis., , , , , , , and . ACM Trans. Graph., 34 (6): 177:1-177:14 (2015)Data-driven contextual modeling for 3D scene understanding., , , , and . Computers & Graphics, (2016)Volumetric spatial transformer network for object recognition., , , , and . SIGGRAPH Asia Posters, page 38. ACM, (2016)PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction., , , , and . ECCV (8), volume 11212 of Lecture Notes in Computer Science, page 767-784. Springer, (2018)Key techniques of haptic related computation in virtual liver surgery., , , , and . BMEI, page 355-359. IEEE, (2015)Recurrent 3D attentional networks for end-to-end active object recognition., , , , , and . Computational Visual Media, 5 (1): 91-104 (2019)Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction., , , , and . CVPR, page 1771-1780. Computer Vision Foundation / IEEE, (2019)Simulation study of the drug release dynamics., , and . BIBM, page 56. IEEE Computer Society, (2013)