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Ravi Garg
Ravi Garg
University of Adelaide, Amazon
Verified email at adelaide.edu.au - Homepage
Title
Cited by
Cited by
Year
Unsupervised CNN for single view depth estimation: Geometry to the rescue
R Garg, VK BG, G Carneiro, I Reid
European Conference on Computer Vision, 740-756, 2016
12582016
Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction
H Zhan, R Garg, CS Weerasekera, K Li, H Agarwal, I Reid
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4972018
Dense Variational Reconstruction of Non-Rigid Surfaces from Monocular Video
R Garg, A Roussos, A Lourdes
Computer Vision and Pattern Recognition (CVPR) 2013, 2013
2412013
A variational approach to video registration with subspace constraints
R Garg, A Roussos, L Agapito
International journal of computer vision 104 (3), 286-314, 2013
1512013
Dense Multibody Motion Estimation and Reconstruction from a Handheld Camera
A Roussos, C Russell, R Garg, L Agapito
ISMAR, 2012
562012
Data-driven approximations to NP-hard problems
A Milan, SH Rezatofighi, R Garg, A Dick, I Reid
Thirty-first AAAI conference on artificial intelligence, 2017
512017
Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks
Y Latif, R Garg, M Milford, I Reid
ICRA 2018, 2017
352017
Robust trajectory-space tv-l1 optical flow for non-rigid sequences
R Garg, A Roussos, L Agapito
International Workshop on Energy Minimization Methods in Computer Vision and …, 2011
352011
Scaling cnns for high resolution volumetric reconstruction from a single image
A Johnston, R Garg, G Carneiro, I Reid, A van den Hengel
Proceedings of the IEEE International Conference on Computer Vision …, 2017
322017
Dense multi-frame optic flow for non-rigid objects using subspace constraints
R Garg, L Pizarro, D Rueckert, L Agapito
Asian Conference on Computer Vision, 460-473, 2010
312010
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors
CS Weerasekera, T Dharmasiri, R Garg, T Drummond, I Reid
ICRA 2018, 2018
272018
Self-supervised learning for single view depth and surface normal estimation
H Zhan, CS Weerasekera, R Garg, I Reid
2019 International Conference on Robotics and Automation (ICRA), 4811-4817, 2019
222019
Dense monocular reconstruction using surface normals
CS Weerasekera, Y Latif, R Garg, I Reid
2017 IEEE international conference on robotics and automation (ICRA), 2524-2531, 2017
212017
Adaptive low-rank kernel subspace clustering
P Ji, I Reid, R Garg, H Li, M Salzmann
arXiv preprint arXiv:1707.04974, 2017
202017
Low-rank kernel subspace clustering
P Ji, I Reid, R Garg, H Li, M Salzmann
arXiv preprint arXiv:1707.04974 1, 2017
192017
Single-view object shape reconstruction using deep shape prior and silhouette
K Li, R Garg, M Cai, I Reid
arXiv preprint arXiv:1811.11921, 2018
12*2018
Non-linear dimensionality regularizer for solving inverse problems
R Garg, A Eriksson, I Reid
arXiv preprint arXiv:1603.05015, 2016
112016
Learning deeply supervised good features to match for dense monocular reconstruction
CS Weerasekera, R Garg, Y Latif, I Reid
Asian Conference on Computer Vision, 609-624, 2018
10*2018
DF-VO: What Should Be Learnt for Visual Odometry?
H Zhan, CS Weerasekera, JW Bian, R Garg, I Reid
arXiv preprint arXiv:2103.00933, 2021
52021
Retrieval augmented classification for long-tail visual recognition
A Long, W Yin, T Ajanthan, V Nguyen, P Purkait, R Garg, A Blair, C Shen, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
32022
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