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Cristian Sminchisescu

Cristian Sminchisescu

D-Index & Metrics

Computer Science

D-Index
68
Citations
19379
World Ranking
2076
National Ranking
1049

Overview

Cristian Sminchisescu is a researcher affiliated with Google in the United States. Their academic focus spans primarily within the domain of computer science and engineering, with extensive work in computer vision and related fields. The research contributions emphasize areas such as human pose and action recognition, advanced vision and imaging, and 3D shape modeling and analysis.

The scientist has published extensively, with a concentration in major venues including arXiv (Cornell University), where they have contributed to 39 publications. Additional frequent publication venues include the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Proceedings of the AAAI Conference on Artificial Intelligence, Lecture Notes in Computer Science, and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Key topics of Cristian Sminchisescu's research include:

  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Human Motion and Animation
  • Video Surveillance and Tracking Methods
  • Generative Adversarial Networks and Image Synthesis
  • Robotics and Sensor-Based Localization

Among notable recent publications are:

  • BEHAVE: Dataset and Method for Tracking Human Object Interactions, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion, 2021, arXiv (Cornell University)
  • Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection, 2020, arXiv (Cornell University)
  • Differentiable Dynamics for Articulated 3d Human Motion Reconstruction, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The frequent collaborators in Cristian's body of work include Thiemo Alldieck, Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Băzăvan, and Erik Gärtner. Collaboration patterns indicate a strong network within advanced computer vision and artificial intelligence research.

Their work engages subfields including computer vision and pattern recognition, control and systems engineering, computational mechanics, artificial intelligence, and aerospace engineering. This interdisciplinary approach reflects in the diversity of their publication topics and research interests.

Best Publications

  • Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments

    Catalin Ionescu;Dragos Papava;Vlad Olaru;Cristian Sminchisescu

  • CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts

    J. Carreira;C. Sminchisescu

  • Semantic segmentation with second-order pooling

    João Carreira;Rui Caseiro;Jorge Batista;Cristian Sminchisescu

  • Conditional models for contextual human motion recognition

    Cristian Sminchisescu;Atul Kanaujia;Dimitris Metaxas

  • Constrained parametric min-cuts for automatic object segmentation

    Joao Carreira;Cristian Sminchisescu

  • The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection

    Mihai Zanfir;Marius Leordeanu;Cristian Sminchisescu

  • Covariance scaled sampling for monocular 3D body tracking

    C. Sminchisescu;B. Triggs

  • Kinematic jump processes for monocular 3D human tracking

    C. Sminchisescu;B. Triggs

  • Conditional models for contextual human motion recognition

    C. Sminchisescu;A. Kanaujia;Zhiguo Li;D. Metaxas

  • Estimating Articulated Human Motion with Covariance Scaled Sampling

    Cristian Sminchisescu;Bill Triggs

  • Twin Gaussian Processes for Structured Prediction

    Liefeng Bo;Cristian Sminchisescu

  • Discriminative density propagation for 3D human motion estimation

    C. Sminchisescu;A. Kanaujia;Zhiguo Li;D. Metaxas

  • Efficient Match Kernel between Sets of Features for Visual Recognition

    Liefeng Bo;Cristian Sminchisescu

  • Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints

    Andrei Zanfir;Elisabeta Marinoiu;Cristian Sminchisescu

  • GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models

    Hongyi Xu;Eduard Gabriel Bazavan;Andrei Zanfir;William T. Freeman

  • Latent structured models for human pose estimation

    Catalin Ionescu;Fuxin Li;Cristian Sminchisescu

  • Matrix Backpropagation for Deep Networks with Structured Layers

    Catalin Ionescu;Orestis Vantzos;Cristian Sminchisescu

  • Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera

    Yuhua Chen;Cordelia Schmid;Cristian Sminchisescu

  • Deep Learning of Graph Matching

    Andrei Zanfir;Cristian Sminchisescu

  • Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition

    Stefan Mathe;Cristian Sminchisescu

  • Semantic Video Segmentation by Gated Recurrent Flow Propagation

    David Nilsson;Cristian Sminchisescu

Frequent Co-Authors

Sven Dickinson
Sven Dickinson University of Toronto
Joao Carreira
Joao Carreira Google (United States)
Dimitris N. Metaxas
Dimitris N. Metaxas Rutgers, The State University of New Jersey
Liefeng Bo
Liefeng Bo Alibaba Group (United States)
Alexandru Telea
Alexandru Telea Utrecht University
Bill Triggs
Bill Triggs Laboratoire Jean Kuntzmann
Marius Leordeanu
Marius Leordeanu Romanian Academy
Rahul Sukthankar
Rahul Sukthankar Google (United States)
Allan D. Jepson
Allan D. Jepson University of Toronto
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA

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