| 2008 |
|---|
| 75 | EE | Alexandru O. Balan,
Michael J. Black:
The Naked Truth: Estimating Body Shape Under Clothing.
ECCV (2) 2008: 15-29 |
| 74 | EE | Deqing Sun,
Stefan Roth,
J. P. Lewis,
Michael J. Black:
Learning Optical Flow.
ECCV (3) 2008: 83-97 |
| 2007 |
|---|
| 73 | EE | Alexandru O. Balan,
Leonid Sigal,
Michael J. Black,
James E. Davis,
Horst W. Haussecker:
Detailed Human Shape and Pose from Images.
CVPR 2007 |
| 72 | EE | Simon Baker,
Daniel Scharstein,
J. P. Lewis,
Stefan Roth,
Michael J. Black,
Richard Szeliski:
A Database and Evaluation Methodology for Optical Flow.
ICCV 2007: 1-8 |
| 71 | EE | Alexandru O. Balan,
Michael J. Black,
Horst W. Haussecker,
Leonid Sigal:
Shining a Light on Human Pose: On Shadows, Shading and the Estimation of Pose and Shape.
ICCV 2007: 1-8 |
| 70 | EE | Stefan Roth,
Michael J. Black:
Steerable Random Fields.
ICCV 2007: 1-8 |
| 69 | EE | Leonid Sigal,
Alexandru O. Balan,
Michael J. Black:
Combined discriminative and generative articulated pose and non-rigid shape estimation.
NIPS 2007 |
| 68 | EE | Stefan Roth,
Michael J. Black:
On the Spatial Statistics of Optical Flow.
International Journal of Computer Vision 74(1): 33-50 (2007) |
| 2006 |
|---|
| 67 | EE | Leonid Sigal,
Michael J. Black:
Predicting 3D People from 2D Pictures.
AMDO 2006: 185-195 |
| 66 | EE | Alexandru O. Balan,
Michael J. Black:
An Adaptive Appearance Model Approach for Model-based Articulated Object Tracking.
CVPR (1) 2006: 758-765 |
| 65 | EE | Stefan Roth,
Michael J. Black:
Specular Flow and the Recovery of Surface Structure.
CVPR (2) 2006: 1869-1876 |
| 64 | EE | Leonid Sigal,
Michael J. Black:
Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation.
CVPR (2) 2006: 2041-2048 |
| 63 | EE | Xiangyang Lan,
Stefan Roth,
Daniel P. Huttenlocher,
Michael J. Black:
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields.
ECCV (2) 2006: 269-282 |
| 62 | EE | Teodor Mihai Moldovan,
Stefan Roth,
Michael J. Black:
Denoising Archival Films using a Learned Bayesian Model.
ICIP 2006: 2641-2644 |
| 61 | EE | Gregory Shakhnarovich,
Sung-Phil Kim,
Michael J. Black:
Nonlinear physically-based models for decoding motor-cortical population activity.
NIPS 2006: 1257-1264 |
| 60 | EE | Wei Wu,
Yun Gao,
Elie Bienenstock,
John P. Donoghue,
Michael J. Black:
Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter.
Neural Computation 18(1): 80-118 (2006) |
| 2005 |
|---|
| 59 | EE | Hulya Yalcin,
Martial Hebert,
Robert T. Collins,
Michael J. Black:
A Flow-Based Approach to Vehicle Detection and Background Mosaicking in Airborne Video.
CVPR (2) 2005: 1202 |
| 58 | EE | Stefan Roth,
Michael J. Black:
Fields of Experts: A Framework for Learning Image Priors.
CVPR (2) 2005: 860-867 |
| 57 | EE | Stefan Roth,
Michael J. Black:
On the Spatial Statistics of Optical Flow.
ICCV 2005: 42-49 |
| 56 | EE | Frank Wood,
Stefan Roth,
Michael J. Black:
Modeling Neural Population Spiking Activity with Gibbs Distributions.
NIPS 2005 |
| 55 | EE | Dirk Ormoneit,
Michael J. Black,
Trevor Hastie,
Hedvig Kjellström:
Representing cyclic human motion using functional analysis.
Image Vision Comput. 23(14): 1264-1276 (2005) |
| 2004 |
|---|
| 54 | EE | Leonid Sigal,
Sidharth Bhatia,
Stefan Roth,
Michael J. Black,
Michael Isard:
Tracking Loose-Limbed People.
CVPR (1) 2004: 421-428 |
| 53 | EE | Stefan Roth,
Leonid Sigal,
Michael J. Black:
Gibbs Likelihoods for Bayesian Tracking.
CVPR (1) 2004: 886-893 |
| 52 | EE | Leonid Sigal,
Ying Zhu,
Dorin Comaniciu,
Michael J. Black:
Tracking Complex Objects Using Graphical Object Models.
IWCM 2004: 223-234 |
| 2003 |
|---|
| 51 | EE | Hanno Scharr,
Michael J. Black,
Horst W. Haussecker:
Image Statistics and Anisotropic Diffusion.
ICCV 2003: 840-847 |
| 50 | EE | Leonid Sigal,
Michael Isard,
Benjamin H. Sigelman,
Michael J. Black:
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation.
NIPS 2003 |
| 49 | EE | Fernando De la Torre,
Michael J. Black:
Robust parameterized component analysis: theory and applications to 2D facial appearance models.
Computer Vision and Image Understanding 91(1-2): 53-71 (2003) |
| 48 | EE | Fernando De la Torre,
Michael J. Black:
A Framework for Robust Subspace Learning.
International Journal of Computer Vision 54(1-3): 117-142 (2003) |
| 47 | EE | Hedvig Sidenbladh,
Michael J. Black:
Learning the Statistics of People in Images and Video.
International Journal of Computer Vision 54(1-3): 183-209 (2003) |
| 46 | EE | Michael J. Black,
Benjamin B. Kimia:
Guest Editorial: Computational Vision at Brown.
International Journal of Computer Vision 54(1-3): 5-11 (2003) |
| 2002 |
|---|
| 45 | EE | Ronan Fablet,
Michael J. Black:
Automatic Detection and Tracking of Human Motion with a View-Based Representation.
ECCV (1) 2002: 476-491 |
| 44 | EE | Allan D. Jepson,
David J. Fleet,
Michael J. Black:
A Layered Motion Representation with Occlusion and Compact Spatial Support.
ECCV (1) 2002: 692-706 |
| 43 | EE | Hedvig Sidenbladh,
Michael J. Black,
Leonid Sigal:
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking.
ECCV (1) 2002: 784-800 |
| 42 | EE | Fernando De la Torre,
Michael J. Black:
Robust Parameterized Component Analysis.
ECCV (4) 2002: 653-669 |
| 41 | EE | Wei Wu,
Michael J. Black,
Yun Gao,
Elie Bienenstock,
M. Serruya,
A. Shaikhouni,
John P. Donoghue:
Neural Decoding of Cursor Motion Using a Kalman Filter.
NIPS 2002: 117-124 |
| 2001 |
|---|
| 40 | EE | Fernando De la Torre,
Michael J. Black:
Dynamic Coupled Component Analysis.
CVPR (2) 2001: 643-650 |
| 39 | | Fernando De la Torre,
Michael J. Black:
Robust Principal Component Analysis for Computer Vision.
ICCV 2001: 362-369 |
| 38 | | Hedvig Sidenbladh,
Michael J. Black:
Learning Image Statistics for Bayesian Tracking.
ICCV 2001: 709-716 |
| 37 | EE | Yun Gao,
Michael J. Black,
Elie Bienenstock,
Shy Shoham,
John P. Donoghue:
Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex.
NIPS 2001: 213-220 |
| 2000 |
|---|
| 36 | EE | Hedvig Sidenbladh,
Michael J. Black,
David J. Fleet:
Stochastic Tracking of 3D Human Figures Using 2D Image Motion.
ECCV (2) 2000: 702-718 |
| 35 | EE | Hedvig Sidenbladh,
Fernando De la Torre,
Michael J. Black:
A Framework for Modeling the Appearance of 3D Articulated Figures.
FG 2000: 368-377 |
| 34 | | Dirk Ormoneit,
Hedvig Sidenbladh,
Michael J. Black,
Trevor Hastie:
Learning and Tracking Cyclic Human Motion.
NIPS 2000: 894-900 |
| 33 | EE | Michael J. Black,
David J. Fleet,
Yaser Yacoob:
Robustly Estimating Changes in Image Appearance.
Computer Vision and Image Understanding 78(1): 8-31 (2000) |
| 32 | | David J. Fleet,
Michael J. Black,
Yaser Yacoob,
Allan D. Jepson:
Design and Use of Linear Models for Image Motion Analysis.
International Journal of Computer Vision 36(3): 171-193 (2000) |
| 31 | | Michael J. Black,
David J. Fleet:
Probabilistic Detection and Tracking of Motion Boundaries.
International Journal of Computer Vision 38(3): 231-245 (2000) |
| 1999 |
|---|
| 30 | EE | Michael J. Black:
Explaining Optical Flow Events with Parameterized Spatio-Temporal Models.
CVPR 1999: 1326-1332 |
| 29 | EE | Michael J. Black,
David J. Fleet:
Probabilistic Detection and Tracking of Motion Discontinuities.
ICCV 1999: 551-558 |
| 28 | EE | Michael J. Black,
Guillermo Sapiro:
Edges as Outliers: Anisotropic Smoothing Using Local Image Statistics.
Scale-Space 1999: 259-270 |
| 27 | EE | Yaser Yacoob,
Michael J. Black:
Parameterized Modeling and Recognition of Activities.
Computer Vision and Image Understanding 73(2): 232-247 (1999) |
| 1998 |
|---|
| 26 | | Larry S. Davis,
Sándor Fejes,
David Harwood,
Yaser Yacoob,
Ismail Haritaoglu,
Michael J. Black:
Visual Surveillance of Human Activity.
ACCV (2) 1998: 267-274 |
| 25 | EE | David J. Fleet,
Michael J. Black,
Allan D. Jepson:
Motion Feature Detection Using Steerable Flow Fields.
CVPR 1998: 274-281 |
| 24 | EE | Michael J. Black,
Allan D. Jepson:
A Probabilistic Framework for Matching Temporal Trajectories: CONDENSATION-Based Recognition of Gestures and Expressions.
ECCV (1) 1998: 909-924 |
| 23 | | Michael J. Black,
Allan D. Jepson:
Recognizing Temporal Trajectories Using the Condensation Algorithm.
FG 1998: 16-21 |
| 22 | | Yaser Yacoob,
Michael J. Black:
Parameterized Modeling and Recognition of Activities.
ICCV 1998: 120-127 |
| 21 | | Michael J. Black,
David J. Fleet,
Yaser Yacoob:
A Framework for Modeling Appearance Change in Image Sequences.
ICCV 1998: 660-667 |
| 20 | EE | Michael J. Black,
Guillermo Sapiro,
David H. Marimont,
David Heeger:
Robust anisotropic diffusion.
IEEE Transactions on Image Processing 7(3): 421-432 (1998) |
| 19 | EE | John K. Tsotsos,
G. Verghese,
Sven J. Dickinson,
Michael R. M. Jenkin,
Allan D. Jepson,
Evangelos E. Milios,
Fernando Nuflo,
Suzanne Stevenson,
Michael J. Black,
Dimitris N. Metaxas:
PLAYBOT A visually-guided robot for physically disabled children.
Image Vision Comput. 16(4): 275-292 (1998) |
| 18 | EE | Michael J. Black,
Allan D. Jepson:
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation.
International Journal of Computer Vision 26(1): 63-84 (1998) |
| 1997 |
|---|
| 17 | EE | Michael J. Black,
Yaser Yacoob,
Allan D. Jepson,
David J. Fleet:
Learning Parameterized Models of Image Motion.
CVPR 1997: 561-567 |
| 16 | EE | Shanon X. Ju,
Michael J. Black,
Scott L. Minneman,
Don Kimber:
Analysis of Gesture and Action in Technical Talks for Video Indexing.
CVPR 1997: 595- |
| 15 | EE | Michael J. Black,
Guillermo Sapiro,
David H. Marimont,
David Heeger:
Robust Anisotropic Diffusion and Sharpening of Scalar and Vector Images.
ICIP (1) 1997: 263-266 |
| 14 | | Michael J. Black,
Guillermo Sapiro,
David H. Marimont,
David Heeger:
Robust Anisotropic Diffusion: Connections Between Robust Statistics, Line Processing, and Anisotropic Diffusion.
Scale-Space 1997: 323-326 |
| 13 | EE | Michael J. Black,
Yaser Yacoob:
Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion.
International Journal of Computer Vision 25(1): 23-48 (1997) |
| 1996 |
|---|
| 12 | EE | Shanon X. Ju,
Michael J. Black,
Allan D. Jepson:
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency.
CVPR 1996: 307- |
| 11 | | Michael J. Black,
Allan D. Jepson:
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation.
ECCV (1) 1996: 329-342 |
| 10 | EE | Shanon X. Ju,
Michael J. Black,
Yaser Yacoob:
Cardboard People: A Parameterized Model of Articulated Image Motion.
FG 1996: 38-44 |
| 9 | EE | Michael J. Black,
P. Anandan:
The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields.
Computer Vision and Image Understanding 63(1): 75-104 (1996) |
| 8 | EE | Michael J. Black,
Allan D. Jepson:
Estimating Optical Flow in Segmented Images Using Variable-Order Parametric Models With Local Deformations.
IEEE Trans. Pattern Anal. Mach. Intell. 18(10): 972-986 (1996) |
| 7 | EE | Michael J. Black,
Anand Rangarajan:
On the unification of line processes, outlier rejection, and robust statistics with applications in early vision.
International Journal of Computer Vision 19(1): 57-91 (1996) |
| 1995 |
|---|
| 6 | EE | Michael J. Black,
Yaser Yacoob:
Tracking and Recognizing Rigid and Non-Rigid Facial Motions Using Local Parametric Models of Image Motion.
ICCV 1995: 374-381 |
| 1994 |
|---|
| 5 | | Michael J. Black:
Recursive Non-Linear Estimation of Discontinuous Flow Fields.
ECCV (1) 1994: 138-145 |
| 1993 |
|---|
| 4 | | Michael J. Black,
Yiannis Aloimonos,
Christopher M. Brown,
Ian Horswill,
Jitendra Malik,
Giulio Sandini,
Michael J. Tarr:
Action Representation and Purpose: Re-evaluating the Foundations of Computational Vision.
IJCAI 1993: 1661-1666 |
| 1992 |
|---|
| 3 | | Michael J. Black:
Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences.
ECCV 1992: 485-493 |
| 1990 |
|---|
| 2 | | Michael J. Black,
P. Anandan:
Constraints for the Early Detection of Discontinuity from Motion.
AAAI 1990: 1060-1066 |
| 1986 |
|---|
| 1 | | Michael J. Black:
The Connection Machine - Book Review.
AI Magazine 7(3): 169 (1986) |
