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LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration

Oct 23, 2020
Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll

* NeurIPS 2020 
* NeurIPS'20 (Oral) 

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Neural Descent for Visual 3D Human Pose and Shape

Aug 16, 2020
Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu

* Submitted to NeuriPS 2020 

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Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction

Jul 22, 2020
Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll

* Accepted at ECCV'20 (Oral) 

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Post-hoc Calibration of Neural Networks

Jun 23, 2020
Amir Rahimi, Kartik Gupta, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley


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Calibration of Neural Networks using Splines

Jun 23, 2020
Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley


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Consistency Guided Scene Flow Estimation

Jun 19, 2020
Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu


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Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection

May 20, 2020
Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu

* 20 pages 

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Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows

Mar 23, 2020
Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, Bill Freeman, Rahul Sukthankar, Cristian Sminchisescu


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Deep Reinforcement Learning for Active Human Pose Estimation

Jan 07, 2020
Erik GĂ€rtner, Aleksis Pirinen, Cristian Sminchisescu

* Accepted to The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 

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

Jan 07, 2020
Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu

* arXiv admin note: substantial text overlap with arXiv:1912.00058 

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A Reparameterization-Invariant Flatness Measure for Deep Neural Networks

Nov 29, 2019
Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu

* 14 pages; accepted at Workshop "Science meets Engineering of Deep Learning", 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 

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Human Synthesis and Scene Compositing

Oct 18, 2019
Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu


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Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera

Jul 12, 2019
Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu


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Non-attracting Regions of Local Minima in Deep and Wide Neural Networks

Dec 18, 2018
Henning Petzka, Cristian Sminchisescu

* Under review at IEEE TNNLS 

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Semantic Video Segmentation by Gated Recurrent Flow Propagation

Oct 02, 2017
David Nilsson, Cristian Sminchisescu

* The experiments section is extended compared to the previous version 

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Deep Multitask Architecture for Integrated 2D and 3D Human Sensing

Jan 31, 2017
Alin-Ionut Popa, Mihai Zanfir, Cristian Sminchisescu


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Spatio-Temporal Attention Models for Grounded Video Captioning

Oct 18, 2016
Mihai Zanfir, Elisabeta Marinoiu, Cristian Sminchisescu

* To appear in Asian Conference on Computer Vision (ACCV), Taipei, Taiwan, 2016 

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Training Deep Networks with Structured Layers by Matrix Backpropagation

Apr 14, 2016
Catalin Ionescu, Orestis Vantzos, Cristian Sminchisescu

* This is an extended version of our ICCV 2015 article 

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A Parallel Framework for Parametric Maximum Flow Problems in Image Segmentation

Dec 07, 2015
Vlad Olaru, Mihai Florea, Cristian Sminchisescu


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A Framework for Symmetric Part Detection in Cluttered Scenes

Feb 05, 2015
Tom Lee, Sanja Fidler, Alex Levinshtein, Cristian Sminchisescu, Sven Dickinson

* 10 pages, 8 figures 

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Parametric Image Segmentation of Humans with Structural Shape Priors

Jan 27, 2015
Alin-Ionut Popa, Cristian Sminchisescu


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Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images

Nov 29, 2014
Stefan Mathe, Cristian Sminchisescu


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Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images

Jul 31, 2014
Dan Banica, Cristian Sminchisescu


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

Dec 29, 2013
Stefan Mathe, Cristian Sminchisescu


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A Linear Approximation to the chi^2 Kernel with Geometric Convergence

Jun 12, 2013
Fuxin Li, Guy Lebanon, Cristian Sminchisescu


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Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression

Jun 13, 2012
Liefeng Bo, Cristian Sminchisescu

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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Learning Random Kernel Approximations for Object Recognition

Mar 07, 2012
Eduard Gabriel Băzăvan, Fuxin Li, Cristian Sminchisescu


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Generalized Boundaries from Multiple Image Interpretations

Feb 16, 2012
Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu


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Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques

Sep 24, 2010
Joao Carreira, Adrian Ion, Cristian Sminchisescu

* 11 pages, 5 figures 

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