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Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise.

J. Whitehill, P. Ruvolo, T. Wu, J. Bergsma, и J. Movellan. NIPS, стр. 2035-2043. Curran Associates, Inc., (2009)

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Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Zongmin Wu

Dagang Wu

Jinjin Wu

Yinghua Wu

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Using parallel stiffness to achieve improved locomotive efficiency with the Sandia STEPPR robot.A. Mazumdar, S. Spencer, J. Salton, C. Hobart, J. Love, K. Dullea, M. Kuehl, T. Blada, M. Quigley, J. Smith и 4 other автор(ы). ICRA, стр. 835-841. IEEE, (2015)Facial expression recognition using Gabor motion energy filters.T. Wu, M. Bartlett, и J. Movellan. CVPR Workshops, стр. 42-47. IEEE Computer Society, (2010)Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise.J. Whitehill, P. Ruvolo, T. Wu, J. Bergsma, и J. Movellan. NIPS, стр. 2035-2043. Curran Associates, Inc., (2009)What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments?S. Silwal, K. Yadav, T. Wu, J. Vakil, A. Majumdar, S. Arnaud, C. Chen, V. Berges, D. Batra, A. Rajeswaran и 3 other автор(ы). ICRA, стр. 17515-17521. IEEE, (2024)STAC: Simultaneous tracking and calibration.T. Wu, Y. Tassa, V. Kumar, J. Movellan, и E. Todorov. Humanoids, стр. 469-476. IEEE, (2013)Estimating dynamic properties of objects from appearance.W. Talbott, T. Wu, и J. Movellan. ICDL-EPIROB, стр. 1-6. IEEE, (2013)Control by Gradient Collocation: Applications to optimal obstacle avoidance and minimum torque control.P. Ruvolo, T. Wu, и J. Movellan. IROS, стр. 1173-1179. IEEE, (2012)Learning spatiotemporal features by using independent component analysis with application to facial expression recognition.F. Long, T. Wu, J. Movellan, M. Bartlett, и G. Littlewort. Neurocomputing, (2012)Team IHMC's Lessons Learned from the DARPA Robotics Challenge: Finding Data in the Rubble.M. Johnson, B. Shrewsbury, S. Bertrand, D. Calvert, T. Wu, D. Duran, D. Stephen, N. Mertins, J. Carff, W. Rifenburgh и 14 other автор(ы). J. Field Robotics, 34 (2): 241-261 (2017)What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?S. Silwal, K. Yadav, T. Wu, J. Vakil, A. Majumdar, S. Arnaud, C. Chen, V. Berges, D. Batra, A. Rajeswaran и 3 other автор(ы). CoRR, (2023)

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