Publications

Estimating human shape and pose from a single image

Guan, P., Weiss, A., Balan, A. and Black, M.J.

Int. Conf. on Computer Vision, ICCV, pages 1381-1388, September 2009.

[pdf]

[video - mov 25MB]

[video - mp4 10MB]

[YouTube]

Nonrigid Structure from Motion in Trajectory Space

Akhter, I., Sheikh, Y., Khan, S. and Kanade, T.

In Neural Information Processing Systems, Vol. 1, pages 41-48, 2008.

Abstract: ▸

[pdf]

Neural activity in the motor cortex of humans with tetraplegia

Donoghue, J., Simeral, J., Black, M., Kim, S-P., Truccolo, W. and Hochberg, L.

AREADNE Research in Encoding And Decoding of Neural Ensembles, volume June Santorini, Greece. 2008.

More than two years of intracortically-based cursor control via a neural interface system

Hochberg, L.R., Simeral, J.D., Kim, S.-P., Stein, J., Friehs, G.M., Black, M.J. and Donoghue, J.P.

2008 Abstract Viewer and Itinerary Planner, Society for Neuroscience, Washington, DC. 2008. Online.

Tuning analysis of motor cortical neurons in a person with paralysis during performance of visually instructed cursor control tasks

Kim, S.-P., Simeral, J.D., Hochberg, L.R., Truccolo, W., Donoghue, J.P., Friehs, G.M. and Black, M.J.

2008 Abstract Viewer and Itinerary Planner, Society for Neuroscience, Washington, DC. 2008. Online.

Visual Recognition of Grasps for Human-to-Robot Mapping

Kjellström, H., Romero, J. and Kragic, D.

In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, pages 3192-3199, 2008.

[Pdf]

Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects

Kjellström, H., Romero, J., Martinez, D. and Kragic, D.

In European Conference on Computer Vision, ECCV, pages 336-349, 2008.

[Pdf]

Dynamic time warping for binocular hand tracking and reconstruction

Romero, J., Kragic, D., Kyrki, V. and Argyros, A.

In IEEE International Conference on Robotics and Automation,ICRA, pages 2289 -2294, May 2008.

[Pdf]

GNU Octave Manual Version 3

Eaton, J.W., Bateman, D. and Hauberg, S.

Network Theory Ltd., 2008.

[Publishers site]

[GNU Octave]

An Efficient Algorithm for Modelling Duration in Hidden Markov Models, with a Dramatic Application

Hauberg, S. and Sloth, J.

Journal of Mathematical Imaging and Vision, 2008.

[Publishers site]

[Paper site]

[PDF]

Brownian Warps for Non-Rigid Registration

Nielsen, M., Johansen, P., Jackson, A., Lautrup, B. and Hauberg, S.

Journal of Mathematical Imaging and Vision, 2008.

[Publishers site]

[PDF]

Infinite Kernel Learning

Gehler, P. and Nowozin, S.

In Proceedings of NIPS 2008 Workshop on "Kernel Learning: Automatic Selection of Optimal Kernels", 2008.

[pdf]

Infinite Kernel Learning

Gehler, P. and Nowozin, S.

Technical Report 178, Max Planck Institute, 2008.

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Bayesian Color Constancy Revisited

Gehler, P., Rother, C., Blake, A., Minka, T. and Sharp, T.

In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2008. http://dx.doi.org/10.1109/CVPR.2008.4587765.

[website+code+data]

[pdf]

Incremental nonparametric Bayesian regression

Wood, F., Grollman, D.H., Heller, K.A., Jenkins, O.C. and Black, M.J.

Technical Report CS-08-07, Brown University, Department of Computer Science, 2008.

[pdf]

Combined discriminative and generative articulated pose and non-rigid shape estimation

Sigal, L., Balan, A. and Black, M.J.

In Advances in Neural Information Processing Systems 20, NIPS-2007, MIT Press, pages 1337–1344, 2008.

[pdf]

Learning Optical Flow

Sun, D., Roth, S., Lewis, J.P. and Black, M.J.

In European Conf. on Computer Vision, ECCV, Springer-Verlag, Vol. 5304, LNCS, pages 83–97, October 2008.

Abstract: ▸

[pdf]

[Springerlink version]

A non-parametric Bayesian alternative to spike sorting

Wood, F. and Black, M.J.

J. Neuroscience Methods, 173(1):1–12, August 2008.

Abstract: ▸

[PubMed]

Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia

(J. Neural Engineering Highlights of 2008 Collection)

Kim, S.-P., Simeral, J., Hochberg, J.P. and Black, M.J.

J. Neural Engineering, 2008.

Abstract: ▸

[pdf with higher quality images]

The naked truth: Estimating body shape under clothing,

Balan, A. and Black, M.J.

In European Conf. on Computer Vision, ECCV, Springer-Verlag, Vol. 5304, LNCS, pages 15-29, Marseilles, France. October 2008.

Abstract: ▸

[pdf]

[Springerlink version]

[YouTube ]

[video on applications]

[data]

[slides]

Learning static Gestalt laws through dynamic experience

Ostrovsky, Y., Wulff, J. and Sinha, P.

Journal of Vision, 7(9):315-315, June 2007.

Abstract: ▸

The Gestalt laws (Wertheimer 1923) are widely regarded as the rules that help us parse the world into objects. However, it is unclear as to how these laws are acquired by an infant's visual system. Classically, these “laws” have been presumed to be innate (Kellman and Spelke 1983). But, more recent work in infant development, showing the protracted time-course over which these grouping principles emerge (e.g., Johnson and Aslin 1995; Craton 1996), suggests that visual experience might play a role in their genesis. Specifically, our studies of patients with late-onset vision (Project Prakash; VSS 2006) and evidence from infant development both point to an early role of common motion cues for object grouping. Here we explore the possibility that the privileged status of motion in the developmental timeline is not happenstance, but rather serves to bootstrap the learning of static Gestalt cues. Our approach involves computational analyses of real-world motion sequences to investigate whether primitive optic flow information is correlated with static figural cues that could eventually come to serve as proxies for grouping in the form of Gestalt principles. We calculated local optic flow maps and then examined how similarity of motion across image patches co-varied with similarity of certain figural properties in static frames. Results indicate that patches with similar motion are much more likely to have similar luminance, color, and orientation as compared to patches with dissimilar motion vectors. This regularity suggests that, in principle, common motion extracted from dynamic visual experience can provide enough information to bootstrap region grouping based on luminance and color and contour continuation mechanisms in static scenes. These observations, coupled with the cited experimental studies, lend credence to the hypothesis that static Gestalt laws might be learned through a bootstrapping process based on early dynamic experience.

Ensemble spiking activity as a source of cortical control signals in individuals with tetraplegia

Simeral, J.D., Kim, S.P., Black, M.J., Donoghue, J.P. and Hochberg, L.R.

Biomedical Engineering Society, BMES, 2007.

Directional tuning in motor cortex of a person with ALS

Simeral, J.D., Donoghue, J.P., Black, M.J., Friehs, G.M., Brown, R.H., Krivickas, L.S. and Hochberg, L.R.

Program No. 517.4. 2007 Abstract Viewer and Itinerary Planner, Society for Neuroscience, San Diego, CA. 2007. Online.

Toward standardized assessment of pointing devices for brain-computer interfaces

Donoghue, J.P., Simeral, J.D., Kim, S., G.M. Friehs, L.R.H. and Black, M.J.

Program No. 517.16. 2007 Abstract Viewer and Itinerary Planner, Society for Neuroscience, San Diego, CA. 2007. Online.

Point-and-click cursor control by a person with tetraplegia using an intracortical neural interface system

Kim, S.-P., Simeral, J.D., Hochberg, L.R., Friehs, G., Donoghue, J.P. and Black, M.J.

Program No. 517.2. 2007 Abstract Viewer and Itinerary Planner, Society for Neuroscience, San Diego, CA. 2007. Online.

AREADNE Research in Encoding And Decoding of Neural Ensembles

Shakhnarovich, G., Hochberg, L.R., Donoghue, J.P., Stein, J., Brown, R.H., Krivickas, L.S., Friehs, G.M. and Black, M.J.

Program No. 517.8. 2007 Abstract Viewer and Itinerary Planner, Society for Neuroscience, San Diego, CA. 2007. Online.

Learning Appearances with Low-Rank SVM

Wolf, L., Jhuang, H. and Hazan, T.

In Conference on Computer Vision and Pattern Recognition (CVPR), 2007.

[pdf]

A Biologically Inspired System for Action Recognition

Jhuang, H., Serre, T., Wolf, L. and Poggio, T.

In International Conference on Computer Vision (ICCV), 2007.

[code]

[pdf]

Deterministic Annealing for Multiple-Instance Learning

Gehler, P. and Chapelle, O.

In Artificial Intelligence and Statistics (AIStats), 2007.

[pdf]

A Database and Evaluation Methodology for Optical Flow

Baker, S., Scharstein, D., Lewis, J.P., Roth, S., Black, M.J. and Szeliski, R.

In Int. Conf. on Computer Vision, ICCV, pages 1-8, Rio de Janeiro, Brazil. October 2007.

[pdf]

Steerable random fields

(Best Paper Award, INI-Graphics Net, 2008)

Roth, S. and Black, M.J.

In Int. Conf. on Computer Vision, ICCV, pages 1-8, Rio de Janeiro, Brazil. 2007.

[pdf]

Multi-state decoding of point-and-click control signals from motor cortical activity in a human with tetraplegia

Kim, S.-P., Simeral, J., Hochberg, L., Donoghue, J.P., Friehs, G. and Black, M.J.

In The 3rd International IEEE EMBS Conference on Neural Engineering, pages 486-489, May 2007.

Abstract: ▸

[pdf]

Denoising archival films using a learned Bayesian model

Moldovan, T.M., Roth, S. and Black, M.J.

Technical Report CS-07-03, Brown University, Department of Computer Science, 2007.

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Probabilistically modeling and decoding neural population activity in motor cortex

Black, M.J. and Donoghue, J.P.

In Toward Brain-Computer Interfacing, Dornhege, G., del R. Millan, J., Hinterberger, T., McFarland, D. and Muller, K.-R., Editors, pages 147-159, MIT Press, London, 2007.

[pdf]

Neuromotor prosthesis development

Donoghue, J.P., Hochberg, L.R., Nurmikko, A.V., Black, M.J., Simeral, J.D. and Friehs, G.

Medicine & Health Rhode Island, 90(1):12-15, January 2007.

Abstract: ▸

[pdf]

Assistive technology and robotic control using MI ensemble-based neural interface systems in humans with tetraplegia

Donoghue, J.P., Nurmikko, A., Black, J. and Hochberg, L.

Journal of Physiology, Special Issue on Brain Computer Interfaces, 2007.

Abstract: ▸

On the spatial statistics of optical flow

Roth, S. and Black, M.J.

International Journal of Computer Vision, 74(1):33-50, 2007.

Abstract: ▸

Detailed human shape and pose from images

Balan, A., Sigal, L., Black, M.J., Davis, J. and Haussecker, H.

In IEEE Conf. on Computer Vision and Pattern Recognition, CVPR, pages 1-8, Minneapolis. June 2007.

[pdf]

[YouTube]

Shining a light on human pose: On shadows, shading and the estimation of pose and shape,

Balan, A., Black, M.J., Haussecker, H. and Sigal, L.

In Int. Conf. on Computer Vision, ICCV, pages 1-8, Rio de Janeiro, Brazil. October 2007.

[pdf]

[YouTube]

Hierarchical Approach for Articulated 3D Pose-Estimation and Tracking (extended abstract)

Sigal, L. and Black, M.J.

In Learning, Representation and Context for Human Sensing in Video Workshop (in conjunction with CVPR), 2006.

[pdf]

[poster]

Finding directional movement representations in motor cortical neural populations using nonlinear manifold learning

WorKim, S-.P., Simeral, J.D., Jenkins, O.C., Donoghue, J.P. and Black, M.J.

World Congress on Medical Physics and Biomedical Engineering 2006, Seoul, Korea. August 2006.

Modeling neural control of physically realistic movement

Shaknarovich, G., Kim, S.-P., Donoghue, J.P., Hocherberg, L.R., Friehs, G., Mukand, J.A., Chen, D. and Black, M.J.

Program No. 256.12. 2006 Abstract Viewer and Itinerary Planner, Society for Neuroscience, Atlanta, GA. 2006. Online.

A comparison of decoding models for imagined motion from human motor cortex

Kim, S.-P., Simeral, J., Donoghue, J.P., Hocherberg, L.R., Friehs, G., Mukand, J.A., Chen, D. and Black, M.J.

Program No. 256.11. 2006 Abstract Viewer and Itinerary Planner, Society for Neuroscience, Atlanta, GA. 2006. Online.

Bayesian population decoding of motor cortical activity using a Kalman filter

Wu, W., Gao, Y., Bienenstock, E., Donoghue, J.P. and Black, M.J.

Neural Computation, 18(1):80-118, 2006.

Abstract: ▸

How to choose the covariance for Gaussian process regression independently of the basis

Franz, M. and Gehler, P.

In Proceedings of the Workshop Gaussian Processes in Practice, 2006.

[pdf]

Implicit Wiener Series, Part II: Regularised estimation

Gehler, P. and Franz, M.

Technical Report 148, Max Planck Institute, 2006.

[pdf]

The rate adapting poisson model for information retrieval and object recognition

Gehler, P.V., Holub, A.D. and Welling, M.

In Proceedings of the 23rd international conference on Machine learning, ACM, ICML ’06, pages 337-344, New York, NY, USA. 2006.

[pdf]

Products of “Edge-perts”

Gehler, P. and Welling, M.

In Advances in Neural Information Processing Systems 18, Weiss, Y., Schölkopf, B. and Platt, J., Editors, pages 419-426, MIT Press, Cambridge, MA, 2006.

[pdf]