Cristian Sminchisescu

Orcid: 0000-0001-5256-886X

According to our database1, Cristian Sminchisescu authored at least 160 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis.
CoRR, 2024

Score Distillation Sampling with Learned Manifold Corrective.
CoRR, 2024

2023
Personalized Pose Forecasting.
CoRR, 2023

SPHEAR: Spherical Head Registration for Complete Statistical 3D Modeling.
CoRR, 2023

Blendshapes GHUM: Real-time Monocular Facial Blendshape Prediction.
CoRR, 2023

Reconstructing Three-Dimensional Models of Interacting Humans.
CoRR, 2023

Varied Realistic Autonomous Vehicle Collision Scenario Generation.
Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

DreamHuman: Animatable 3D Avatars from Text.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transformer-Based Learned Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Structured 3D Features for Reconstructing Controllable Avatars.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes.
IEEE Robotics Autom. Lett., 2022

HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving.
CoRR, 2022

PhoMoH: Implicit Photorealistic 3D Models of Human Heads.
CoRR, 2022

Structured 3D Features for Reconstructing Relightable and Animatable Avatars.
CoRR, 2022

BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation.
CoRR, 2022

Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks.
CoRR, 2022

ERA: Enhanced Rational Activations.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Online Multi-sensor Depth Fusion.
Proceedings of the Computer Vision - ECCV 2022, 2022

Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Differentiable Dynamics for Articulated 3d Human Motion Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

BEHAVE: Dataset and Method for Tracking Human Object Interactions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving.
Proceedings of the Conference on Robot Learning, 2022

2021
Predictable Robots for Autistic Children - Variance in Robot Behaviour, Idiosyncrasies in Autistic Children's Characteristics, and Child-Robot Engagement.
ACM Trans. Comput. Hum. Interact., 2021

Non-attracting Regions of Local Minima in Deep and Wide Neural Networks.
J. Mach. Learn. Res., 2021

Embodied Learning for Lifelong Visual Perception.
CoRR, 2021

HSPACE: Synthetic Parametric Humans Animated in Complex Environments.
CoRR, 2021

Local Metrics for Multi-Object Tracking.
CoRR, 2021

H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Relative Flatness and Generalization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Calibration of Neural Networks using Splines.
Proceedings of the 9th International Conference on Learning Representations, 2021

THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Neural Descent for Visual 3D Human Pose and Shape.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AIFit: Automatic 3D Human-Interpretable Feedback Models for Fitness Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle Testing.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Embodied Visual Active Learning for Semantic Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Complex 3D Human Self-Contact.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Special Issue: Advances in Architectures and Theories for Computer Vision.
Int. J. Comput. Vis., 2020

Post-hoc Calibration of Neural Networks.
CoRR, 2020

Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks.
CoRR, 2020

Notes on the Symmetries of 2-Layer ReLU-Networks.
Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020

LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows.
Proceedings of the Computer Vision - ECCV 2020, 2020

Consistency Guided Scene Flow Estimation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction.
Proceedings of the Computer Vision - ECCV 2020, 2020

GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Three-Dimensional Reconstruction of Human Interactions.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection.
Proceedings of the 4th Conference on Robot Learning, 2020

Semantic Synthesis of Pedestrian Locomotion.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Human Synthesis and Scene Compositing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Deep Reinforcement Learning for Active Human Pose Estimation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks.
CoRR, 2019

Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Learning of Graph Matching.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Human Appearance Transfer.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes - The Importance of Multiple Scene Constraints.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Reinforcement Learning of Region Proposal Networks for Object Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Semantic Video Segmentation by Gated Recurrent Flow Propagation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children With Autism.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Large-Scale Data-Dependent Kernel Approximation.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Pictorial Human Spaces: A Computational Study on the Human Perception of 3D Articulated Poses.
Int. J. Comput. Vis., 2016

Reinforcement Learning for Visual Object Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Spatio-Temporal Attention Models for Grounded Video Captioning.
Proceedings of the Computer Vision - ACCV 2016, 2016

Parametric Image Segmentation of Humans with Structural Shape Priors.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
A Framework for Symmetric Part Detection in Cluttered Scenes.
Symmetry, 2015

Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Free-Form Region Description with Second-Order Pooling.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

A Parallel Framework for Parametric Maximum Flow Problems in Image Segmentation.
CoRR, 2015

Training Deep Networks with Structured Layers by Matrix Backpropagation.
CoRR, 2015

Large Displacement 3D Scene Flow with Occlusion Reasoning.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Matrix Backpropagation for Deep Networks with Structured Layers.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Second-order constrained parametric proposals and sequential search-based structured prediction for semantic segmentation in RGB-D images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Generalized Boundaries from Multiple Image Interpretations.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition.
Int. J. Comput. Vis., 2014

Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images.
CoRR, 2014

Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Multiscale Symmetric Part Detection and Grouping.
Int. J. Comput. Vis., 2013

CPMC-3D-O2P: Semantic segmentation of RGB-D images using CPMC and Second Order Pooling.
CoRR, 2013

Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary.
Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

Video Object Segmentation by Salient Segment Chain Composition.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Pictorial Human Spaces: How Well Do Humans Perceive a 3D Articulated Pose?
Proceedings of the IEEE International Conference on Computer Vision, 2013

Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Composite Statistical Inference for Semantic Segmentation.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

The Role of Mid-Level Shape Priors in Perceptual Grouping and Image Abstraction.
Proceedings of the Shape Perception in Human and Computer Vision, 2013

2012
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Efficient Hypergraph Clustering.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Optimal Image and Video Closure by Superpixel Grouping.
Int. J. Comput. Vis., 2012

Object Recognition by Sequential Figure-Ground Ranking.
Int. J. Comput. Vis., 2012

Learning Random Kernel Approximations for Object Recognition
CoRR, 2012

Perceptual Grouping Using Superpixels.
Proceedings of the Pattern Recognition - 4th Mexican Conference, 2012

Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition.
Proceedings of the Computer Vision - ECCV 2012, 2012

Efficient Closed-Form Solution to Generalized Boundary Detection.
Proceedings of the Computer Vision - ECCV 2012, 2012

Semantic Segmentation with Second-Order Pooling.
Proceedings of the Computer Vision - ECCV 2012, 2012

Fourier Kernel Learning.
Proceedings of the Computer Vision - ECCV 2012, 2012

Chebyshev approximations to the histogram χ<sup>2</sup> kernel.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Probabilistic Joint Image Segmentation and Labeling.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Semi-supervised learning and optimization for hypergraph matching.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Latent structured models for human pose estimation.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Image segmentation by figure-ground composition into maximal cliques.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Feature-Based Pose Estimation.
Proceedings of the Visual Analysis of Humans - Looking at People., 2011

2010
The Feature Selection Path in Kernel Methods.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Twin Gaussian Processes for Structured Prediction.
Int. J. Comput. Vis., 2010

Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques
CoRR, 2010

Convex Multiple-Instance Learning by Estimating Likelihood Ratio.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Optimal Contour Closure by Superpixel Grouping.
Proceedings of the Computer Vision, 2010

Random Fourier Approximations for Skewed Multiplicative Histogram Kernels.
Proceedings of the Pattern Recognition, 2010

Object recognition as ranking holistic figure-ground hypotheses.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Constrained parametric min-cuts for automatic object segmentation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Spatiotemporal Closure.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Kernel Learning by Unconstrained Optimization.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Supervised Spectral Latent Variable Models.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Efficient Match Kernel between Sets of Features for Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Structural SVM for visual localization and continuous state estimation.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Selection and context for action recognition.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Structured output-associative regression.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression.
Proceedings of the UAI 2008, 2008

Fast algorithms for large scale conditional 3D prediction.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
BM<sup>3</sup>E : Discriminative Density Propagation for Visual Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Generalized Darting Monte Carlo.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

People Tracking with the Laplacian Eigenmaps Latent Variable Model.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Support Kernel Machines for Object Recognition.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Spectral Latent Variable Models for Perceptual Inference.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Fast mixing hyperdynamic sampling.
Image Vis. Comput., 2006

Conditional models for contextual human motion recognition.
Comput. Vis. Image Underst., 2006

Canonical Skeletons for Shape Matching.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

3D Human Motion Analysis in Monocular Video: Techniques and Challenges.
Proceedings of the Human Motion, Understanding, Modelling, Capture, and Animation [Dagstuhl Seminar, 11.06., 2006

Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Training Deformable Models for Localization.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Incremental Model-Based Estimation Using Geometric Constraints.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Building Roadmaps of Minima and Transitions in Visual Models.
Int. J. Comput. Vis., 2005

Conditional Visual Tracking in Kernel Space.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Conditional Random Fields for Contextual Human Motion Recognition.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Learning Hierarchical Shape Models from Examples.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

Discriminative Density Propagation for 3D Human Motion Estimation.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Optimal Inference for Hierarchical Skeleton Abstraction.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Generative modeling for continuous non-linearly embedded visual inference.
Proceedings of the Machine Learning, 2004

Variational Mixture Smoothing for Non-Linear Dynamical Systems.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Estimating Articulated Human Motion With Covariance Scaled Sampling.
Int. J. Robotics Res., 2003

Kinematic Jump Processes For Monocular 3D Human Tracking.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
Estimation algorithms for ambiguous visual models : Three Dimensional Human Modeling and Motion Reconstruction in Monocular Video Sequences. (Algorithmes d'estimation pour des modèles visuels ambigus : Modélisation Humaine Tridimensionnelle et Reconstruction du Mouvement dans des Séquences Vidéo Monoculaires).
PhD thesis, 2002

Human Pose Estimation from Silhouettes - A Consistent Approach Using Distance Level Sets.
Proceedings of the 10-th International Conference in Central Europe on Computer Graphics, 2002

Consistency and Coupling in Human Model Likelihoods.
Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2002), 2002

Hyperdynamics Importance Sampling.
Proceedings of the Computer Vision, 2002

Building Roadmaps of Local Minima of Visual Models.
Proceedings of the Computer Vision, 2002

2001
A Framework for Generic State Estimation in Computer Vision Applications.
Proceedings of the Computer Vision Systems, Second International Workshop, 2001

Covariance Scaled Sampling for Monocular 3D Body Tracking.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Improving the Scope of Deformable Model Shape and Motion Estimation.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

1999
Combining Object Orientation and Dataflow Modeling in the Vission Simulation System.
Proceedings of the ECOOP'99 Workshop for PhD Students in OO Systems (PhDOOS '99), 1999

An OO Approach to C++ Compiler Technology.
Proceedings of the ECOOP'99 Workshop for PhD Students in OO Systems (PhDOOS '99), 1999


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