Michael J. Black
191 publications
13 venues
h-Index 79
Google's h-Index 111
Affiliation
Max Planck Institute for Intelligent Systems Tuebingen, GermanyDepartment of Computer Science, Brown University
Links
Additional Information
Achievements
2023 - Research.com Computer Science in Germany Leader Award2022 - Research.com Computer Science in Germany Leader Award
Google Citations
56957| Name | Venue | Year | citations |
|---|---|---|---|
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation.
|
CVPR | 2023 | 0 |
| Detecting Human-Object Contact in Images.
|
CVPR | 2023 | 0 |
| 3D Human Pose Estimation via Intuitive Physics.
|
CVPR | 2023 | 0 |
| TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments.
|
CVPR | 2023 | 0 |
| BITE: Beyond Priors for Improved Three-D Dog Pose Estimation.
|
CVPR | 2023 | 0 |
| BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion.
|
CVPR | 2023 | 0 |
| ECON: Explicit Clothed humans Optimized via Normal integration.
|
CVPR | 2023 | 0 |
| Instant Multi-View Head Capture through Learnable Registration.
|
CVPR | 2023 | 0 |
| MIME: Human-Aware 3D Scene Generation.
|
CVPR | 2023 | 0 |
| Reconstructing Signing Avatars from Video Using Linguistic Priors.
|
CVPR | 2023 | 0 |
| Generating Holistic 3D Human Motion from Speech.
|
CVPR | 2023 | 0 |
| HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics.
|
CVPR | 2023 | 0 |
| PointAvatar: Deformable Point-Based Head Avatars from Videos.
|
CVPR | 2023 | 0 |
| MeshDiffusion: Score-based Generative 3D Mesh Modeling.
|
ICLR | 2023 | 0 |
| AG3D: Learning to Generate 3D Avatars from 2D Image Collections.
|
ICCV | 2023 | 0 |
| SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation.
|
ICCV | 2023 | 0 |
| Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance.
|
ICCV | 2023 | 0 |
| TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis.
|
ICCV | 2023 | 0 |
| DECO: Dense Estimation of 3D Human-Scene Contact In The Wild.
|
ICCV | 2023 | 0 |
| Pairwise Similarity Learning is SimPLE.
|
ICCV | 2023 | 0 |
| Viewpoint-Driven Formation Control of Airships for Cooperative Target Tracking.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| SmartMocap: Joint Estimation of Human and Camera Motion Using Uncalibrated RGB Cameras.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| Fast-SNARF: A Fast Deformer for Articulated Neural Fields.
|
TPAMI | 2023 | 0 |
| EMOCA: Emotion Driven Monocular Face Capture and Animation.
|
CVPR | 2022 | 13 |
| AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation.
|
IEEE Robotics and Automation Letters | 2022 | 7 |
| gDNA: Towards Generative Detailed Neural Avatars.
|
CVPR | 2022 | 16 |
| BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information.
|
CVPR | 2022 | 7 |
| OSSO: Obtaining Skeletal Shape from Outside.
|
CVPR | 2022 | 3 |
| Human-Aware Object Placement for Visual Environment Reconstruction.
|
CVPR | 2022 | 19 |
| SUPR: A Sparse Unified Part-Based Human Representation.
|
ECCV | 2022 | 0 |
| TEMOS: Generating Diverse Human Motions from Textual Descriptions.
|
ECCV | 2022 | 30 |
| Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation.
|
ECCV | 2022 | 1 |
| Deep Residual Reinforcement Learning based Autonomous Blimp Control.
|
IROS | 2022 | 2 |
| Accurate 3D Body Shape Regression using Metric and Semantic Attributes.
|
CVPR | 2022 | 6 |
| Capturing and Inferring Dense Full-Body Human-Scene Contact.
|
CVPR | 2022 | 13 |
| ICON: Implicit Clothed humans Obtained from Normals.
|
CVPR | 2022 | 0 |
| Putting People in their Place: Monocular Regression of 3D People in Depth.
|
CVPR | 2022 | 0 |
| GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping.
|
CVPR | 2022 | 0 |
| I M Avatar: Implicit Morphable Head Avatars from Videos.
|
CVPR | 2022 | 0 |
| Occlusion Boundary: A Formal Definition & Its Detection via Deep Exploration of Context.
|
TPAMI | 2022 | 0 |
| iRotate: Active Visual SLAM for Omnidirectional Robots.
|
Robotics and Autonomous Systems | 2022 | 0 |
| The Power of Points for Modeling Humans in Clothing.
|
ICCV | 2021 | 36 |
| Stochastic Scene-Aware Motion Prediction.
|
ICCV | 2021 | 31 |
| Learning to Regress Bodies from Images using Differentiable Semantic Rendering.
|
ICCV | 2021 | 19 |
| AGORA: Avatars in Geography Optimized for Regression Analysis.
|
CVPR | 2021 | 58 |
| SPEC: Seeing People in the Wild with an Estimated Camera.
|
ICCV | 2021 | 38 |
| SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes.
|
ICCV | 2021 | 69 |
| Action-Conditioned 3D Human Motion Synthesis with Transformer VAE.
|
ICCV | 2021 | 108 |
| On Self-Contact and Human Pose.
|
CVPR | 2021 | 35 |
| SOMA: Solving Optical Marker-Based MoCap Automatically.
|
ICCV | 2021 | 3 |
| PARE: Part Attention Regressor for 3D Human Body Estimation.
|
ICCV | 2021 | 87 |
| Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency.
|
ICCV | 2021 | 9 |
| BABEL: Bodies, Action and Behavior With English Labels.
|
CVPR | 2021 | 36 |
| LEAP: Learning Articulated Occupancy of People.
|
CVPR | 2021 | 64 |
| SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks.
|
CVPR | 2021 | 98 |
| SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements.
|
CVPR | 2021 | 50 |
| Populating 3D Scenes by Learning Human-Scene Interaction.
|
CVPR | 2021 | 0 |
| We Are More Than Our Joints: Predicting How 3D Bodies Move.
|
CVPR | 2021 | 0 |
| Monocular, One-stage, Regression of Multiple 3D People.
|
ICCV | 2021 | 0 |
| Monocular Expressive Body Regression Through Body-Driven Attention.
|
ECCV | 2020 | 103 |
| AirCapRL: Autonomous Aerial Human Motion Capture Using Deep Reinforcement Learning.
|
IEEE Robotics and Automation Letters | 2020 | 11 |
| STAR: Sparse Trained Articulated Human Body Regressor.
|
ECCV | 2020 | 125 |
| GRAB: A Dataset of Whole-Body Human Grasping of Objects.
|
ECCV | 2020 | 112 |
| Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations.
|
AAAI | 2020 | 15 |
| Learning to Dress 3D People in Generative Clothing.
|
CVPR | 2020 | 0 |
| Generating 3D People in Scenes Without People.
|
CVPR | 2020 | 0 |
| VIBE: Video Inference for Human Body Pose and Shape Estimation.
|
CVPR | 2020 | 0 |
| From Variational to Deterministic Autoencoders.
|
ICLR | 2020 | 0 |
| Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences.
|
TPAMI | 2020 | 0 |
| Learning Joint Reconstruction of Hands and Manipulated Objects.
|
CVPR | 2019 | 242 |
| Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop.
|
ICCV | 2019 | 507 |
| AMASS: Archive of Motion Capture As Surface Shapes.
|
ICCV | 2019 | 389 |
| Expressive Body Capture: 3D Hands, Face, and Body From a Single Image.
|
CVPR | 2019 | 603 |
| Attacking Optical Flow.
|
ICCV | 2019 | 69 |
| Capture, Learning, and Synthesis of 3D Speaking Styles.
|
CVPR | 2019 | 112 |
| Resolving 3D Human Pose Ambiguities With 3D Scene Constraints.
|
ICCV | 2019 | 122 |
| Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles.
|
ICCV | 2019 | 25 |
| Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision.
|
CVPR | 2019 | 163 |
| Active Perception Based Formation Control for Multiple Aerial Vehicles.
|
IEEE Robotics and Automation Letters | 2019 | 30 |
| Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders.
|
AAAI | 2019 | 0 |
| Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation.
|
CVPR | 2019 | 0 |
| End-to-End Learning for Graph Decomposition.
|
ICCV | 2019 | 0 |
| Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images "In the Wild".
|
ICCV | 2019 | 0 |
| Customized Multi-person Tracker.
|
ACCV | 2018 | 44 |
| Unsupervised Learning of Multi-Frame Optical Flow with Occlusions.
|
ECCV | 2018 | 150 |
| Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape From Images.
|
CVPR | 2018 | 85 |
| Deep Neural Network-Based Cooperative Visual Tracking Through Multiple Micro Aerial Vehicles.
|
IEEE Robotics and Automation Letters | 2018 | 41 |
| Generating 3D Faces Using Convolutional Mesh Autoencoders.
|
ECCV | 2018 | 375 |
| Recovering Accurate 3D Human Pose in the Wild Using IMUs and a Moving Camera.
|
ECCV | 2018 | 450 |
| End-to-End Recovery of Human Shape and Pose.
|
CVPR | 2018 | 0 |
| Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences.
|
CVPR | 2017 | 185 |
| Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels.
|
CVPR | 2017 | 30 |
| Unite the People: Closing the Loop Between 3D and 2D Human Representations.
|
CVPR | 2017 | 400 |
| Deep Representation Learning for Human Motion Prediction and Classification.
|
CVPR | 2017 | 305 |
| Dynamic FAUST: Registering Human Bodies in Motion.
|
CVPR | 2017 | 244 |
| Learning from Synthetic Humans.
|
CVPR | 2017 | 708 |
| Optical Flow in Mostly Rigid Scenes.
|
CVPR | 2017 | 100 |
| Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data.
|
CVPR | 2017 | 65 |
| On Human Motion Prediction Using Recurrent Neural Networks.
|
CVPR | 2017 | 612 |
| Optical Flow Estimation Using a Spatial Pyramid Network.
|
CVPR | 2017 | 0 |
| 3D Menagerie: Modeling the 3D Shape and Pose of Animals.
|
CVPR | 2017 | 0 |
| Occlusion Boundary Detection via Deep Exploration of Context.
|
CVPR | 2016 | 28 |
| Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image.
|
ECCV | 2016 | 1104 |
| Scalable Robust Principal Component Analysis Using Grassmann Averages.
|
TPAMI | 2016 | 30 |
| Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction.
|
CVPR | 2016 | 26 |
| Video Segmentation via Object Flow.
|
CVPR | 2016 | 298 |
| Optical Flow with Semantic Segmentation and Localized Layers.
|
CVPR | 2016 | 167 |
| Intrinsic Depth: Improving Depth Transfer with Intrinsic Images.
|
ICCV | 2015 | 39 |
| Detailed Full-Body Reconstructions of Moving People from Monocular RGB-D Sequences.
|
ICCV | 2015 | 196 |
| Pose-conditioned joint angle limits for 3D human pose reconstruction.
|
CVPR | 2015 | 360 |
| The stitched puppet: A graphical model of 3D human shape and pose.
|
CVPR | 2015 | 130 |
| Efficient sparse-to-dense optical flow estimation using a learned basis and layers.
|
CVPR | 2015 | 164 |
| Optical Flow Estimation with Channel Constancy.
|
ECCV | 2014 | 39 |
| Modeling Blurred Video with Layers.
|
ECCV | 2014 | 84 |
| FAUST: Dataset and Evaluation for 3D Mesh Registration.
|
CVPR | 2014 | 552 |
| Preserving Modes and Messages via Diverse Particle Selection.
|
ICML | 2014 | 24 |
| OpenDR: An Approximate Differentiable Renderer.
|
ECCV | 2014 | 417 |
| Grassmann Averages for Scalable Robust PCA.
|
CVPR | 2014 | 61 |
| Intrinsic Video.
|
ECCV | 2014 | 42 |
| Model Transport: Towards Scalable Transfer Learning on Manifolds.
|
CVPR | 2014 | 27 |
| A Fully-Connected Layered Model of Foreground and Background Flow.
|
CVPR | 2013 | 102 |
| Estimating Human Pose with Flowing Puppets.
|
ICCV | 2013 | 66 |
| Towards Understanding Action Recognition.
|
ICCV | 2013 | 687 |
| A Naturalistic Open Source Movie for Optical Flow Evaluation.
|
ECCV | 2012 | 1538 |
| Layered segmentation and optical flow estimation over time.
|
CVPR | 2012 | 140 |
| Coregistration: Simultaneous Alignment and Modeling of Articulated 3D Shape.
|
ECCV | 2012 | 179 |
| From Pictorial Structures to deformable structures.
|
CVPR | 2012 | 68 |
| From Deformations to Parts: Motion-based Segmentation of 3D Objects.
|
NIPS/NeurIPS | 2012 | 27 |
| Lie Bodies: A Manifold Representation of 3D Human Shape.
|
ECCV | 2012 | 96 |
| A Geometric take on Metric Learning.
|
NIPS/NeurIPS | 2012 | 62 |
| Home 3D body scans from noisy image and range data.
|
ICCV | 2011 | 323 |
| A 2D Human Body Model Dressed in Eigen Clothing.
|
ECCV | 2010 | 55 |
| Tracking people interacting with objects.
|
CVPR | 2010 | 48 |
| Layered image motion with explicit occlusions, temporal consistency, and depth ordering.
|
NIPS/NeurIPS | 2010 | 142 |
| Contour people: A parameterized model of 2D articulated human shape.
|
CVPR | 2010 | 55 |
| Secrets of optical flow estimation and their principles.
|
CVPR | 2010 | 1502 |
| An Additive Latent Feature Model for Transparent Object Recognition.
|
NIPS/NeurIPS | 2009 | 72 |
| Estimating human shape and pose from a single image.
|
ICCV | 2009 | 390 |
| Learning Optical Flow.
|
ECCV | 2008 | 269 |
| The Naked Truth: Estimating Body Shape Under Clothing.
|
ECCV | 2008 | 206 |
| Combined discriminative and generative articulated pose and non-rigid shape estimation.
|
NIPS/NeurIPS | 2007 | 221 |
| A Database and Evaluation Methodology for Optical Flow.
|
ICCV | 2007 | 2586 |
| Detailed Human Shape and Pose from Images.
|
CVPR | 2007 | 344 |
| Steerable Random Fields.
|
ICCV | 2007 | 72 |
| Shining a Light on Human Pose: On Shadows, Shading and the Estimation of Pose and Shape.
|
ICCV | 2007 | 64 |
| Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation.
|
CVPR | 2006 | 267 |
| Efficient Belief Propagation with Learned Higher-Order Markov Random Fields.
|
ECCV | 2006 | 218 |
| An Adaptive Appearance Model Approach for Model-based Articulated Object Tracking.
|
CVPR | 2006 | 90 |
| Nonlinear physically-based models for decoding motor-cortical population activity.
|
NIPS/NeurIPS | 2006 | 5 |
| Specular Flow and the Recovery of Surface Structure.
|
CVPR | 2006 | 92 |
| Fields of Experts: A Framework for Learning Image Priors.
|
CVPR | 2005 | 1103 |
| On the Spatial Statistics of Optical Flow.
|
ICCV | 2005 | 306 |
| Modeling Neural Population Spiking Activity with Gibbs Distributions.
|
NIPS/NeurIPS | 2005 | 12 |
| A Flow-Based Approach to Vehicle Detection and Background Mosaicking in Airborne Video.
|
CVPR | 2005 | 68 |
| Gibbs Likelihoods for Bayesian Tracking.
|
CVPR | 2004 | 39 |
| Tracking Loose-Limbed People.
|
CVPR | 2004 | 461 |
| Image Statistics and Anisotropic Diffusion.
|
ICCV | 2003 | 73 |
| Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation.
|
NIPS/NeurIPS | 2003 | 150 |
| Robust Parameterized Component Analysis.
|
ECCV | 2002 | 38 |
| Implicit Probabilistic Models of Human Motion for Synthesis and Tracking.
|
ECCV | 2002 | 386 |
| A Layered Motion Representation with Occlusion and Compact Spatial Support.
|
ECCV | 2002 | 70 |
| Neural Decoding of Cursor Motion Using a Kalman Filter.
|
NIPS/NeurIPS | 2002 | 163 |
| Automatic Detection and Tracking of Human Motion with a View-Based Representation.
|
ECCV | 2002 | 133 |
| Dynamic Coupled Component Analysis.
|
CVPR | 2001 | 41 |
| Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex.
|
NIPS/NeurIPS | 2001 | 86 |
| Robust Principal Component Analysis for Computer Vision.
|
ICCV | 2001 | 431 |
| Learning Image Statistics for Bayesian Tracking.
|
ICCV | 2001 | 141 |
| Stochastic Tracking of 3D Human Figures Using 2D Image Motion.
|
ECCV | 2000 | 857 |
| Learning and Tracking Cyclic Human Motion.
|
NIPS/NeurIPS | 2000 | 110 |
| Explaining Optical Flow Events with Parameterized Spatio-Temporal Models.
|
CVPR | 1999 | 66 |
| Probabilistic Detection and Tracking of Motion Discontinuities.
|
ICCV | 1999 | 83 |
| Motion Feature Detection Using Steerable Flow Fields.
|
CVPR | 1998 | 26 |
| Visual Surveillance of Human Activity.
|
ACCV | 1998 | 45 |
| Parameterized Modeling and Recognition of Activities.
|
ICCV | 1998 | 494 |
| A Probabilistic Framework for Matching Temporal Trajectories: CONDENSATION-Based Recognition of Gestures and Expressions.
|
ECCV | 1998 | 257 |
| A Framework for Modeling Appearance Change in Image Sequences.
|
ICCV | 1998 | 79 |
| Learning Parameterized Models of Image Motion.
|
CVPR | 1997 | 158 |
| Analysis of Gesture and Action in Technical Talks for Video Indexing.
|
CVPR | 1997 | 56 |
| Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency.
|
CVPR | 1996 | 179 |
| EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation.
|
ECCV | 1996 | 1379 |
| Estimating Optical Flow in Segmented Images Using Variable-Order Parametric Models With Local Deformations.
|
TPAMI | 1996 | 234 |
| Tracking and Recognizing Rigid and Non-Rigid Facial Motions Using Local Parametric Models of Image Motion.
|
ICCV | 1995 | 581 |
| Recursive Non-Linear Estimation of Discontinuous Flow Fields.
|
ECCV | 1994 | 82 |
| The outlier process: unifying line processes and robust statistics.
|
CVPR | 1994 | 67 |
| A framework for the robust estimation of optical flow.
|
ICCV | 1993 | 518 |
| Action Representation and Purpose: Re-evaluating the Foundations of Computational Vision.
|
IJCAI | 1993 | 6 |
| Mixture models for optical flow computation.
|
CVPR | 1993 | 308 |
| Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences.
|
ECCV | 1992 | 105 |
| Robust dynamic motion estimation over time.
|
CVPR | 1991 | 298 |
| A model for the detection of motion over time.
|
ICCV | 1990 | 61 |
| Constraints for the Early Detection of Discontinuity from Motion.
|
AAAI | 1990 | 29 |