Cristian Sminchisescu
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Computer Science
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Computer Science
Cristian Sminchisescu's Degrees
- PhD Computer Science University of Bonn
- Masters Computer Science University of Bonn
- Bachelors Computer Science University of Bucharest
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(Suggest an Edit or Addition)Cristian Sminchisescu's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments (2014) (1989)
- CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts (2012) (649)
- Semantic Segmentation with Second-Order Pooling (2012) (490)
- Constrained parametric min-cuts for automatic object segmentation (2010) (485)
- The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection (2013) (436)
- Conditional models for contextual human motion recognition (2006) (380)
- Covariance scaled sampling for monocular 3D body tracking (2001) (363)
- Kinematic jump processes for monocular 3D human tracking (2003) (344)
- Estimating Articulated Human Motion with Covariance Scaled Sampling (2003) (304)
- Discriminative density propagation for 3D human motion estimation (2005) (282)
- Twin Gaussian Processes for Structured Prediction (2010) (269)
- Efficient Match Kernel between Sets of Features for Visual Recognition (2009) (261)
- Matrix Backpropagation for Deep Networks with Structured Layers (2015) (242)
- Latent structured models for human pose estimation (2011) (214)
- Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints (2018) (212)
- Generative modeling for continuous non-linearly embedded visual inference (2004) (172)
- Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition (2012) (168)
- Semantic Video Segmentation by Gated Recurrent Flow Propagation (2016) (168)
- Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera (2019) (168)
- Deep Learning of Graph Matching (2018) (167)
- Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition (2013) (164)
- GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models (2020) (158)
- Selection and context for action recognition (2009) (147)
- Conditional Random Fields for Contextual Human Motion Recognition (2005) (146)
- Deep Multitask Architecture for Integrated 2D and 3D Human Sensing (2017) (146)
- Object recognition as ranking holistic figure-ground hypotheses (2010) (146)
- Reinforcement Learning for Visual Object Detection (2016) (143)
- Object Recognition by Sequential Figure-Ground Ranking (2012) (127)
- Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction (2020) (125)
- Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference (2006) (119)
- Training Deformable Models for Localization (2006) (112)
- Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images (2018) (110)
- Multiscale Symmetric Part Detection and Grouping (2009) (109)
- Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction (2007) (106)
- Human Pose Estimation from Silhouettes - A Consistent Approach Using Distance Level Sets (2002) (105)
- Fast algorithms for large scale conditional 3D prediction (2008) (96)
- Optimal Contour Closure by Superpixel Grouping (2010) (95)
- Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation (2014) (92)
- Efficient Closed-Form Solution to Generalized Boundary Detection (2012) (88)
- BM³E : Discriminative Density Propagation for Visual Tracking (2007) (85)
- Support Kernel Machines for Object Recognition (2007) (84)
- Human Appearance Transfer (2018) (83)
- Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows (2020) (80)
- H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion (2021) (77)
- Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation (2013) (74)
- LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration (2020) (73)
- Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection (2020) (72)
- Training Deep Networks with Structured Layers by Matrix Backpropagation (2015) (71)
- Random Fourier Approximations for Skewed Multiplicative Histogram Kernels (2010) (71)
- RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection (2021) (71)
- Semi-supervised learning and optimization for hypergraph matching (2011) (71)
- People Tracking with the Laplacian Eigenmaps Latent Variable Model (2007) (66)
- Structured output-associative regression (2009) (62)
- Free-Form Region Description with Second-Order Pooling (2015) (59)
- 3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children with Autism (2018) (58)
- Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths (2013) (58)
- Hyperdynamics Importance Sampling (2002) (57)
- 3D Human Motion Analysis in Monocular Video Techniques and Challenges (2006) (55)
- Calibration of Neural Networks using Splines (2020) (54)
- ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary (2013) (53)
- Deep Reinforcement Learning of Region Proposal Networks for Object Detection (2018) (53)
- Fourier Kernel Learning (2012) (53)
- Image segmentation by figure-ground composition into maximal cliques (2011) (53)
- Second-order constrained parametric proposals and sequential search-based structured prediction for semantic segmentation in RGB-D images (2015) (52)
- Canonical Skeletons for Shape Matching (2006) (52)
- Spatio-Temporal Attention Models for Grounded Video Captioning (2016) (49)
- imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose (2021) (49)
- Convex Multiple-Instance Learning by Estimating Likelihood Ratio (2010) (48)
- Generalized Darting Monte Carlo (2007) (47)
- Generalized Boundaries from Multiple Image Interpretations (2012) (46)
- Efficient Hypergraph Clustering (2012) (45)
- Probabilistic Joint Image Segmentation and Labeling (2011) (45)
- Variational mixture smoothing for non-linear dynamical systems (2004) (44)
- Building Roadmaps of Local Minima of Visual Models (2002) (44)
- Video Object Segmentation by Salient Segment Chain Composition (2013) (43)
- Consistency and coupling in human model likelihoods (2002) (40)
- Building Roadmaps of Minima and Transitions in Visual Models (2004) (40)
- Computer Vision – ECCV 2018 (2018) (38)
- Structural SVM for visual localization and continuous state estimation (2009) (37)
- Three-Dimensional Reconstruction of Human Interactions (2020) (36)
- Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing (2022) (35)
- BEHAVE: Dataset and Method for Tracking Human Object Interactions (2022) (34)
- Composite Statistical Inference for Semantic Segmentation (2013) (32)
- Chebyshev approximations to the histogram χ2 kernel (2012) (32)
- Neural Descent for Visual 3D Human Pose and Shape (2020) (32)
- Spatiotemporal Closure (2010) (30)
- Semantic Segmentation with (2012) (29)
- Conditional Visual Tracking in Kernel Space (2005) (28)
- A Mode-Hopping MCMC sampler (2003) (28)
- THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers (2021) (28)
- Optimal Image and Video Closure by Superpixel Grouping (2012) (28)
- Spectral Latent Variable Models for Perceptual Inference (2007) (27)
- Optimal inference for hierarchical skeleton abstraction (2004) (26)
- Pictorial Human Spaces: How Well Do Humans Perceive a 3D Articulated Pose? (2013) (25)
- A Robust Multiple Hypothesis Approach to Monocular Human Motion Tracking (2000) (25)
- Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression (2008) (24)
- Relative Flatness and Generalization (2020) (24)
- Learning Hierarchical Shape Models from Examples (2005) (24)
- CPMC-3D-O2P: Semantic segmentation of RGB-D images using CPMC and Second Order Pooling (2013) (23)
- Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition (2014) (22)
- Kernel Learning by Unconstrained Optimization (2009) (21)
- Large Displacement 3D Scene Flow with Occlusion Reasoning (2015) (19)
- Learning to Reconstruct 3 D Human Motion from Bayesian Mixtures of Experts . A Probabilistic Discriminative Approach (2004) (19)
- Computer Vision – ECCV 2018 (2018) (18)
- Human Synthesis and Scene Compositing (2019) (17)
- Incremental model-based estimation using geometric constraints (2005) (16)
- Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction (2019) (16)
- Deep Reinforcement Learning for Active Human Pose Estimation (2020) (15)
- Learning Complex 3D Human Self-Contact (2020) (13)
- Embodied Visual Active Learning for Semantic Segmentation (2020) (13)
- Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images (2014) (13)
- AIFit: Automatic 3D Human-Interpretable Feedback Models for Fitness Training (2021) (12)
- Supervised Spectral Latent Variable Models (2009) (12)
- Local Metrics for Multi-Object Tracking (2021) (11)
- The Feature Selection Path in Kernel Methods (2010) (10)
- HSPACE: Synthetic Parametric Humans Animated in Complex Environments (2021) (10)
- A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes (2021) (9)
- Pictorial Human Spaces: A Computational Study on the Human Perception of 3D Articulated Poses (2016) (9)
- Large-Scale Data-Dependent Kernel Approximation (2017) (9)
- Combining object orientation and dataflow modelling in the VISSION simulation system (1999) (9)
- Fast mixing hyperdynamic sampling (2006) (8)
- BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation (2022) (8)
- Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques (2010) (8)
- Computer Vision – ECCV 2018 (2018) (7)
- Computer Vision – ECCV 2018 (2018) (7)
- Chebyshev Approximations to the Histogram $\chi^2$ Kernel (2012) (6)
- TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks (2021) (6)
- Density Propagation for Continuous Temporal Chains Generative and Discriminative Models (2004) (6)
- Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video (2022) (6)
- Notes on the Symmetries of 2-Layer ReLU-Networks (2020) (6)
- Feature-Based Pose Estimation (2011) (6)
- Improving the scope of deformable model shape and motion estimation (2001) (6)
- Computer Vision – ECCV 2018 (2018) (5)
- Computer Vision – ECCV 2018 (2018) (5)
- Incremental Model-Based Estimation Using Geometric Consistency Constraints (2001) (5)
- Non-attracting Regions of Local Minima in Deep and Wide Neural Networks (2018) (5)
- A Framework for Generic State Estimation in Computer Vision Applications (2001) (5)
- A Linear Approximation to the chi^2 Kernel with Geometric Convergence (2012) (5)
- Computer Vision – ECCV 2018 (2018) (4)
- Parametric Image Segmentation of Humans with Structural Shape Priors (2015) (4)
- Computer Vision – ECCV 2018 (2018) (4)
- Post-hoc Calibration of Neural Networks (2020) (4)
- A Reparameterization-Invariant Flatness Measure for Deep Neural Networks (2019) (4)
- Predictable Robots for Autistic Children—Variance in Robot Behaviour, Idiosyncrasies in Autistic Children’s Characteristics, and Child–Robot Engagement (2021) (4)
- Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle Testing (2021) (4)
- Computer Vision – ECCV 2018 (2018) (3)
- The Role of Mid-Level Shape Priors in Perceptual Grouping and Image Abstraction (2013) (3)
- Differentiable Dynamics for Articulated 3d Human Motion Reconstruction (2022) (3)
- Transformer-Based Learned Optimization (2022) (3)
- A Framework for Symmetric Part Detection in Cluttered Scenes (2015) (3)
- Computer Vision – ECCV 2018 (2018) (3)
- Computer Vision – ECCV 2018 (2018) (3)
- Perceptual Grouping Using Superpixels (2012) (3)
- Computer Vision – ECCV 2018 (2018) (3)
- Consistency Guided Scene Flow Estimation (2020) (3)
- Computer Vision – ECCV 2018 (2018) (2)
- Hierarchical Skeleton Abstraction (2004) (2)
- Learning Random Kernel Approximations for Object Recognition (2012) (2)
- Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks (2019) (2)
- Special Issue: Advances in Architectures and Theories for Computer Vision (2020) (2)
- Computer Vision – ECCV 2018 (2018) (2)
- A Linear Approximation to the χ 2 Kernel with Geometric Convergence 1 I NTRODUCTION (2013) (2)
- Learning Online Multi-Sensor Depth Fusion (2022) (2)
- Non-Linearly Embedded Visual Tracking (2003) (1)
- Computer Vision – ECCV 2018 (2018) (1)
- An Object-Oriented Approach to C++ Compiler Technology (1999) (1)
- Relative Flatness and Generalization in the Interpolation Regime. (2020) (1)
- PhoMoH: Implicit Photorealistic 3D Models of Human Heads (2022) (1)
- ERA: Enhanced Rational Activations (2022) (1)
- Structured 3D Features for Reconstructing Relightable and Animatable Avatars (2022) (1)
- Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition (2013) (0)
- Hyperdynamic Sampling Hyperdynamic Sampling (2011) (0)
- Special Issue: Advances in Architectures and Theories for Computer Vision (2020) (0)
- New Results - Recognition (2004) (0)
- An OO Approach to C++ Compiler Technology (1999) (0)
- Qualitative 3D Surface Reconstruction from Images (2008) (0)
- Post-hoc Calibration of Neural Networks by g-Layers (2020) (0)
- Optimal Image and Video Closure by Superpixel Grouping (2012) (0)
- Learning Online Multi-Sensor Depth Fusion Supplementary Material (2022) (0)
- HandMap : Robust Hand Pose Estimation via Intermediate Dense Guidance Map Supervision (2018) (0)
- Multiple Hypothesis Smoothing for Non-Linear Models (2003) (0)
- Object Recognition by Sequential Figure-Ground Ranking (2011) (0)
- C ALIBRATION OF N EURAL N ETWORKS USING S PLINES (2021) (0)
- Embodied Learning for Lifelong Visual Perception (2021) (0)
- Deep Reinforcement Learning for Active Human Pose Estimation Supplementary Material (2020) (0)
- Structured 3D Features for Reconstructing Controllable Avatars (2022) (0)
- CSI : Composite Statistical Inference Techniques for Semantic Segmentation (2013) (0)
- Computer Vision – ECCV 2018 (2018) (0)
- New Results - Human detection and activity analysis (2005) (0)
- Learning in Medical Image Databases (2007) (0)
- Bidirectional Model Learning for Visual Inference (0)
- Hyperdynamic Sampling 1 (0)
- Organizing Committee and Area Chairs (2018) (0)
- Hierarchical Models for 3 D Visual Inference (2007) (0)
- Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks (2022) (0)
- UvA-DARE ( Digital Academic Repository ) Grounding Visual Explanations (2018) (0)
- Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images (2013) (0)
- A Parallel Framework for Parametric Maximum Flow Problems in Image Segmentation (2015) (0)
- Incremental Model-Based Estimation Using Geometric Constraints 1 (0)
- Varied Realistic Autonomous Vehicle Collision Scenario Generation (2023) (0)
- Pictorial Human Spaces: A Computational Study on the Human Perception of 3D Articulated Poses (2016) (0)
- HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving (2022) (0)
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