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Vijay Badrinarayanan
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2020 – today
- 2023
- [i23]Kaylene C. Stocking, Zak Murez, Vijay Badrinarayanan, Jamie Shotton, Alex Kendall, Claire J. Tomlin, Christopher P. Burgess:
Linking vision and motion for self-supervised object-centric perception. CoRR abs/2307.07147 (2023) - [i22]Ana-Maria Marcu, Long Chen, Jan Hünermann, Alice Karnsund, Benoît Hanotte, Prajwal Chidananda, Saurabh Nair, Vijay Badrinarayanan, Alex Kendall, Jamie Shotton, Oleg Sinavski:
LingoQA: Video Question Answering for Autonomous Driving. CoRR abs/2312.14115 (2023) - 2021
- [c18]Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeffrey Hawke, Vijay Badrinarayanan, Roberto Cipolla, Alex Kendall:
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras. ICCV 2021: 15253-15262 - [i21]Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeff Hawke, Vijay Badrinarayanan, Roberto Cipolla, Alex Kendall:
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras. CoRR abs/2104.10490 (2021) - [i20]Jeffrey Hawke, Haibo E, Vijay Badrinarayanan, Alex Kendall:
Reimagining an autonomous vehicle. CoRR abs/2108.05805 (2021) - 2020
- [c17]Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich:
DELTAS: Depth Estimation by Learning Triangulation and Densification of Sparse Points. ECCV (21) 2020: 104-121 - [c16]Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich:
Atlas: End-to-End 3D Scene Reconstruction from Posed Images. ECCV (7) 2020: 414-431 - [i19]Ameya Phalak, Vijay Badrinarayanan, Andrew Rabinovich:
Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes. CoRR abs/2003.07356 (2020) - [i18]Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich:
MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality. CoRR abs/2003.08806 (2020) - [i17]Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich:
Depth Estimation by Learning Triangulation and Densification of Sparse Points for Multi-view Stereo. CoRR abs/2003.08933 (2020) - [i16]Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich:
Atlas: End-to-End 3D Scene Reconstruction from Posed Images. CoRR abs/2003.10432 (2020)
2010 – 2019
- 2019
- [c15]Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Vijay Badrinarayanan, Andrew Rabinovich:
EyeNet: A Multi-Task Deep Network for Off-Axis Eye Gaze Estimation. ICCV Workshops 2019: 3683-3687 - [i15]Ameya Phalak, Zhao Chen, Darvin Yi, Khushi Gupta, Vijay Badrinarayanan, Andrew Rabinovich:
DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences. CoRR abs/1904.11595 (2019) - [i14]Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich:
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding. CoRR abs/1908.09060 (2019) - 2018
- [c14]Zhao Chen
, Vijay Badrinarayanan
, Gilad Drozdov
, Andrew Rabinovich
:
Estimating Depth from RGB and Sparse Sensing. ECCV (4) 2018: 176-192 - [c13]Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich:
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. ICML 2018: 793-802 - [i13]Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich:
Estimating Depth from RGB and Sparse Sensing. CoRR abs/1804.02771 (2018) - [i12]Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich:
Gradient Adversarial Training of Neural Networks. CoRR abs/1806.08028 (2018) - 2017
- [j4]Vijay Badrinarayanan
, Alex Kendall, Roberto Cipolla
:
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2481-2495 (2017) - [c12]Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla:
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding. BMVC 2017 - [c11]Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich:
RoomNet: End-to-End Room Layout Estimation. ICCV 2017: 4875-4884 - [i11]Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich:
RoomNet: End-to-End Room Layout Estimation. CoRR abs/1703.06241 (2017) - [i10]Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich:
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. CoRR abs/1711.02257 (2017) - 2016
- [j3]Gianfranco Nencioni
, Nishanth Sastry
, Gareth Tyson, Vijay Badrinarayanan, Dmytro Karamshuk, Jigna Chandaria, Jon Crowcroft
:
SCORE: Exploiting Global Broadcasts to Create Offline Personal Channels for On-Demand Access. IEEE/ACM Trans. Netw. 24(4): 2429-2442 (2016) - [c10]Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla
:
Understanding RealWorld Indoor Scenes with Synthetic Data. CVPR 2016: 4077-4085 - [i9]Debidatta Dwibedi, Tomasz Malisiewicz, Vijay Badrinarayanan, Andrew Rabinovich:
Deep Cuboid Detection: Beyond 2D Bounding Boxes. CoRR abs/1611.10010 (2016) - 2015
- [i8]Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla:
SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes. CoRR abs/1505.00171 (2015) - [i7]Vijay Badrinarayanan, Ankur Handa, Roberto Cipolla:
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling. CoRR abs/1505.07293 (2015) - [i6]Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla:
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. CoRR abs/1511.00561 (2015) - [i5]Vijay Badrinarayanan, Bamdev Mishra, Roberto Cipolla:
Understanding symmetries in deep networks. CoRR abs/1511.01029 (2015) - [i4]Vijay Badrinarayanan, Bamdev Mishra, Roberto Cipolla:
Symmetry-invariant optimization in deep networks. CoRR abs/1511.01754 (2015) - [i3]Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla:
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding. CoRR abs/1511.02680 (2015) - [i2]Ujwal Bonde, Vijay Badrinarayanan, Roberto Cipolla, Minh-Tri Pham:
TemplateNet for Depth-Based Object Instance Recognition. CoRR abs/1511.03244 (2015) - [i1]Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla:
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data. CoRR abs/1511.07041 (2015) - 2014
- [j2]Vijay Badrinarayanan, Ignas Budvytis, Roberto Cipolla
:
Mixture of Trees Probabilistic Graphical Model for Video Segmentation. Int. J. Comput. Vis. 110(1): 14-29 (2014) - [c9]Ujwal Bonde, Vijay Badrinarayanan, Roberto Cipolla
:
Robust Instance Recognition in Presence of Occlusion and Clutter. ECCV (2) 2014: 520-535 - [c8]Sukrit Shankar, Vijay Badrinarayanan, Roberto Cipolla
:
Part Bricolage: Flow-Assisted Part-Based Graphs for Detecting Activities in Videos. ECCV (6) 2014: 586-601 - 2013
- [j1]Vijay Badrinarayanan, Ignas Budvytis, Roberto Cipolla
:
Semi-Supervised Video Segmentation Using Tree Structured Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2751-2764 (2013) - [c7]Ujwal Bonde, Vijay Badrinarayanan, Roberto Cipolla
:
Multi Scale Shape Index for 3D Object Recognition. SSVM 2013: 306-318 - 2012
- [c6]Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipolla
:
MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation. BMVC 2012: 1-11 - 2011
- [c5]Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipolla
:
Semi-supervised video segmentation using tree structured graphical models. CVPR 2011: 2257-2264 - 2010
- [c4]Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipolla
:
Label propagation in complex video sequences using semi-supervised learning. BMVC 2010: 1-12 - [c3]Vijay Badrinarayanan, Fabio Galasso
, Roberto Cipolla
:
Label propagation in video sequences. CVPR 2010: 3265-3272
2000 – 2009
- 2007
- [c2]Vijay Badrinarayanan, Patrick Pérez, François Le Clerc
, Lionel Oisel:
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues. ICCV 2007: 1-8 - [c1]Vijay Badrinarayanan, Patrick Pérez, François Le Clerc
, Lionel Oisel:
On Uncertainties, Random Features and Object Tracking. ICIP (5) 2007: 61-64
Coauthor Index
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