Vijay Badrinarayanan

Andrew Rabinovich

CoRR, 2020

DELTAS: Depth Estimation by Learning Triangulation and Densification of Sparse Points.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Atlas: End-to-End 3D Scene Reconstruction from Posed Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding.

[BibT_eX]

[DOI]

CoRR, 2019

DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences.

[BibT_eX]

[DOI]

CoRR, 2019

EyeNet: A Multi-Task Deep Network for Off-Axis Eye Gaze Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Gradient Adversarial Training of Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Estimating Depth from RGB and Sparse Sensing.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.

[BibT_eX]

[DOI]

Alex Kendall

IEEE Trans. Pattern Anal. Mach. Intell., 2017

RoomNet: End-to-End Room Layout Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

[BibT_eX]

[DOI]

Alex Kendall

Proceedings of the British Machine Vision Conference 2017, 2017

2016

SCORE: Exploiting Global Broadcasts to Create Offline Personal Channels for On-Demand Access.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2016

Deep Cuboid Detection: Beyond 2D Bounding Boxes.

[BibT_eX]

[DOI]

CoRR, 2016

Understanding RealWorld Indoor Scenes with Synthetic Data.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

SceneNet: Understanding Real World Indoor Scenes With Synthetic Data.

[BibT_eX]

[DOI]

CoRR, 2015

SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes.

[BibT_eX]

[DOI]

CoRR, 2015

TemplateNet for Depth-Based Object Instance Recognition.

[BibT_eX]

[DOI]

CoRR, 2015

Symmetry-invariant optimization in deep networks.

[BibT_eX]

[DOI]

Bamdev Mishra

CoRR, 2015

Understanding symmetries in deep networks.

[BibT_eX]

[DOI]

Bamdev Mishra

CoRR, 2015

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling.

[BibT_eX]

[DOI]

Ankur Handa

CoRR, 2015

2014

Mixture of Trees Probabilistic Graphical Model for Video Segmentation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2014

Part Bricolage: Flow-Assisted Part-Based Graphs for Detecting Activities in Videos.

[BibT_eX]

[DOI]

Sukrit Shankar

Proceedings of the Computer Vision - ECCV 2014, 2014

Robust Instance Recognition in Presence of Occlusion and Clutter.

[BibT_eX]

[DOI]

Ujwal Bonde

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Semi-Supervised Video Segmentation Using Tree Structured Graphical Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Multi Scale Shape Index for 3D Object Recognition.

[BibT_eX]

[DOI]

Ujwal Bonde

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

2012

MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2012

2010

Label propagation in video sequences.

[BibT_eX]

[DOI]

Fabio Galasso

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Label propagation in complex video sequences using semi-supervised learning.

[BibT_eX]

[DOI]