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Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry


Dec 15, 2021
Gwangbin Bae, Ignas Budvytis, Roberto Cipolla


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Discrete neural representations for explainable anomaly detection


Dec 10, 2021
Stanislaw Szymanowicz, James Charles, Roberto Cipolla

* Winter Conference on Applications of Computer Vision 2022 

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Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model


Nov 30, 2021
Akash Sengupta, Ignas Budvytis, Roberto Cipolla

* BMVC 2021 

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Leveraging Geometry for Shape Estimation from a Single RGB Image


Nov 10, 2021
Florian Langer, Ignas Budvytis, Roberto Cipolla


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Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild


Oct 03, 2021
Akash Sengupta, Ignas Budvytis, Roberto Cipolla

* ICCV 2021 

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Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation


Sep 20, 2021
Gwangbin Bae, Ignas Budvytis, Roberto Cipolla

* ICCV 2021 (oral) 

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X-MAN: Explaining multiple sources of anomalies in video


Jun 16, 2021
Stanislaw Szymanowicz, James Charles, Roberto Cipolla

* In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 2021 

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LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo


Apr 27, 2021
Roberto Mecca, Fotios Logothetis, Ignas Budvytis, Roberto Cipolla


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FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras


Apr 21, 2021
Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeff Hawke, Vijay Badrinarayanan, Roberto Cipolla, Alex Kendall


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Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild


Mar 30, 2021
Akash Sengupta, Ignas Budvytis, Roberto Cipolla

* Accepted at CVPR 2021, 16 pages, 8 figures 

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Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild


Sep 22, 2020
Akash Sengupta, Ignas Budvytis, Roberto Cipolla

* 14 pages, 7 figures, BMVC 2020, Fixed abstract typos 

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A CNN Based Approach for the Near-Field Photometric Stereo Problem


Sep 12, 2020
Fotios Logothetis, Ignas Budvytis, Roberto Mecca, Roberto Cipolla


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Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments


Sep 11, 2020
Steven D. Morad, Roberto Mecca, Rudra P. K. Poudel, Stephan Liwicki, Roberto Cipolla


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PX-NET: Simple, Efficient Pixel-Wise Training of Photometric Stereo Networks


Aug 11, 2020
Fotios Logothetis, Ignas Budvytis, Roberto Mecca, Roberto Cipolla


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Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop


Jul 21, 2020
Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon, Roberto Cipolla

* Accepted at ECCV 2020 

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Predicting Semantic Map Representations from Images using Pyramid Occupancy Networks


Mar 30, 2020
Thomas Roddick, Roberto Cipolla


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Learning a Spatio-Temporal Embedding for Video Instance Segmentation


Dec 19, 2019
Anthony Hu, Alex Kendall, Roberto Cipolla


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Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression


Sep 23, 2019
Ignas Budvytis, Marvin Teichmann, Tomas Vojir, Roberto Cipolla

* BMVC 2019 

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Orientation-aware Semantic Segmentation on Icosahedron Spheres


Jul 30, 2019
Chao Zhang, Stephan Liwicki, William Smith, Roberto Cipolla

* 9 pages, accepted to iccv 2019 

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Fast-SCNN: Fast Semantic Segmentation Network


Feb 12, 2019
Rudra P K Poudel, Stephan Liwicki, Roberto Cipolla


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Orthographic Feature Transform for Monocular 3D Object Detection


Nov 20, 2018
Thomas Roddick, Alex Kendall, Roberto Cipolla


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Creatures great and SMAL: Recovering the shape and motion of animals from video


Nov 14, 2018
Benjamin Biggs, Thomas Roddick, Andrew Fitzgibbon, Roberto Cipolla

* 17 pages, ACCV 2018 oral paper 

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A Differential Volumetric Approach to Multi-View Photometric Stereo


Nov 05, 2018
Fotios Logothetis, Roberto Mecca, Roberto Cipolla


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Convolutional CRFs for Semantic Segmentation


May 15, 2018
Marvin T. T. Teichmann, Roberto Cipolla

* 8 Pages + Appendix, references. Code can be found under: https://github.com/MarvinTeichmann/ConvCRF 

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MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving


May 08, 2018
Marvin Teichmann, Michael Weber, Marius Zoellner, Roberto Cipolla, Raquel Urtasun

* 9 pages, 7 tables and 9 figures; first place on Kitti Road Segmentation; Code on GitHub (https://github.com/MarvinTeichmann/MultiNet

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Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics


Apr 24, 2018
Alex Kendall, Yarin Gal, Roberto Cipolla

* CVPR 2018 

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Geometric Loss Functions for Camera Pose Regression with Deep Learning


May 23, 2017
Alex Kendall, Roberto Cipolla

* CVPR 2017 

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Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups


Nov 30, 2016
Yani Ioannou, Duncan Robertson, Roberto Cipolla, Antonio Criminisi

* Updated full version of paper, in full letter paper two-column paper. Includes many textual changes, updated CIFAR10 results, and new analysis of inter/intra-layer correlation 

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Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding


Oct 10, 2016
Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla


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