| 2009 | ||
|---|---|---|
| 76 | Stefan Roth, Michael J. Black: Fields of Experts. International Journal of Computer Vision 82(2): 205-229 (2009) | |
| 2008 | ||
| 75 | Alexandru O. Balan, Michael J. Black: The Naked Truth: Estimating Body Shape Under Clothing. ECCV (2) 2008: 15-29 | |
| 74 | Deqing Sun, Stefan Roth, J. P. Lewis, Michael J. Black: Learning Optical Flow. ECCV (3) 2008: 83-97 | |
| 2007 | ||
| 73 | Alexandru O. Balan, Leonid Sigal, Michael J. Black, James E. Davis, Horst W. Haussecker: Detailed Human Shape and Pose from Images. CVPR 2007 | |
| 72 | 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 | 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 | Stefan Roth, Michael J. Black: Steerable Random Fields. ICCV 2007: 1-8 | |
| 69 | Leonid Sigal, Alexandru O. Balan, Michael J. Black: Combined discriminative and generative articulated pose and non-rigid shape estimation. NIPS 2007 | |
| 68 | Stefan Roth, Michael J. Black: On the Spatial Statistics of Optical Flow. International Journal of Computer Vision 74(1): 33-50 (2007) | |
| 2006 | ||
| 67 | Leonid Sigal, Michael J. Black: Predicting 3D People from 2D Pictures. AMDO 2006: 185-195 | |
| 66 | Alexandru O. Balan, Michael J. Black: An Adaptive Appearance Model Approach for Model-based Articulated Object Tracking. CVPR (1) 2006: 758-765 | |
| 65 | Stefan Roth, Michael J. Black: Specular Flow and the Recovery of Surface Structure. CVPR (2) 2006: 1869-1876 | |
| 64 | Leonid Sigal, Michael J. Black: Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation. CVPR (2) 2006: 2041-2048 | |
| 63 | 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 | Teodor Mihai Moldovan, Stefan Roth, Michael J. Black: Denoising Archival Films using a Learned Bayesian Model. ICIP 2006: 2641-2644 | |
| 61 | Gregory Shakhnarovich, Sung-Phil Kim, Michael J. Black: Nonlinear physically-based models for decoding motor-cortical population activity. NIPS 2006: 1257-1264 | |
| 60 | 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 | 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 | Stefan Roth, Michael J. Black: Fields of Experts: A Framework for Learning Image Priors. CVPR (2) 2005: 860-867 | |
| 57 | Stefan Roth, Michael J. Black: On the Spatial Statistics of Optical Flow. ICCV 2005: 42-49 | |
| 56 | Frank Wood, Stefan Roth, Michael J. Black: Modeling Neural Population Spiking Activity with Gibbs Distributions. NIPS 2005 | |
| 55 | 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 | Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michael J. Black, Michael Isard: Tracking Loose-Limbed People. CVPR (1) 2004: 421-428 | |
| 53 | Stefan Roth, Leonid Sigal, Michael J. Black: Gibbs Likelihoods for Bayesian Tracking. CVPR (1) 2004: 886-893 | |
| 52 | Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J. Black: Tracking Complex Objects Using Graphical Object Models. IWCM 2004: 223-234 | |
| 2003 | ||
| 51 | Hanno Scharr, Michael J. Black, Horst W. Haussecker: Image Statistics and Anisotropic Diffusion. ICCV 2003: 840-847 | |
| 50 | Leonid Sigal, Michael Isard, Benjamin H. Sigelman, Michael J. Black: Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation. NIPS 2003 | |
| 49 | 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 | 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 | 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 | 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 | Ronan Fablet, Michael J. Black: Automatic Detection and Tracking of Human Motion with a View-Based Representation. ECCV (1) 2002: 476-491 | |
| 44 | 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 | Hedvig Sidenbladh, Michael J. Black, Leonid Sigal: Implicit Probabilistic Models of Human Motion for Synthesis and Tracking. ECCV (1) 2002: 784-800 | |
| 42 | Fernando De la Torre, Michael J. Black: Robust Parameterized Component Analysis. ECCV (4) 2002: 653-669 | |
| 41 | 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 | 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 | 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 | Hedvig Sidenbladh, Michael J. Black, David J. Fleet: Stochastic Tracking of 3D Human Figures Using 2D Image Motion. ECCV (2) 2000: 702-718 | |
| 35 | 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 | 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 | Michael J. Black: Explaining Optical Flow Events with Parameterized Spatio-Temporal Models. CVPR 1999: 1326-1332 | |
| 29 | Michael J. Black, David J. Fleet: Probabilistic Detection and Tracking of Motion Discontinuities. ICCV 1999: 551-558 | |
| 28 | Michael J. Black, Guillermo Sapiro: Edges as Outliers: Anisotropic Smoothing Using Local Image Statistics. Scale-Space 1999: 259-270 | |
| 27 | 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 | David J. Fleet, Michael J. Black, Allan D. Jepson: Motion Feature Detection Using Steerable Flow Fields. CVPR 1998: 274-281 | |
| 24 | 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 | Michael J. Black, Guillermo Sapiro, David H. Marimont, David Heeger: Robust anisotropic diffusion. IEEE Transactions on Image Processing 7(3): 421-432 (1998) | |
| 19 | 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 | 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 | Michael J. Black, Yaser Yacoob, Allan D. Jepson, David J. Fleet: Learning Parameterized Models of Image Motion. CVPR 1997: 561-567 | |
| 16 | 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 | 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 | 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 | 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 | Shanon X. Ju, Michael J. Black, Yaser Yacoob: Cardboard People: A Parameterized Model of Articulated Image Motion. FG 1996: 38-44 | |
| 9 | 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 | 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 | 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 | 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) | |