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Ravi Garg
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2020 – today
- 2024
- [c35]Amila Silva, Olga Moskvyak, Alexander Long, Ravi Garg, Stephen Gould, Gil Avraham, Anton van den Hengel:
LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes. WACV 2024: 8031-8040 - 2023
- [c34]Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton van den Hengel:
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups. ICCV 2023: 1229-1238 - 2022
- [c33]Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. CVPR 2022: 6949-6959 - [c32]Yang He, Ravi Garg, Amber Roy Chowdhury:
TD-Road: Top-Down Road Network Extraction with Holistic Graph Construction. ECCV (9) 2022: 562-577 - [c31]Puyang Ma, Ravi Garg, Mohammed N. Moustafa:
BinoML: supervised ranking for automatic building labeling. GeoIndstry@SIGSPATIAL 2022: 1:1-1:8 - [c30]Emre Eftelioglu, Ravi Garg, Vaibhav Kango, Chintan Gohil, Amber Roy Chowdhury:
RING-Net: road inference from GPS trajectories using a deep segmentation network. BigSpatial@SIGSPATIAL 2022: 17-26 - [i13]Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. CoRR abs/2202.11233 (2022) - 2021
- [j8]Carlos Lassance, Yasir Latif, Ravi Garg, Vincent Gripon
, Ian Reid:
Improved Visual Localization via Graph Filtering. J. Imaging 7(2): 20 (2021) - [i12]Huangying Zhan, Chamara Saroj Weerasekera, Jia-Wang Bian, Ravi Garg, Ian D. Reid:
DF-VO: What Should Be Learnt for Visual Odometry? CoRR abs/2103.00933 (2021) - 2020
- [j7]Mainak Jas
, Titipat Achakulvisut
, Aid Idrizovic, Daniel E. Acuna
, Matthew Antalek, Vinícius Marques, Tommy Odland, Ravi Garg, Mayank Agrawal, Yu Umegaki, Peter Foley
, Hugo Fernandes
, Drew Harris, Beibin Li, Olivier Pieters
, Scott Otterson, Giovanni De Toni
, Chris C. Rodgers
, Eva L. Dyer, Matti S. Hämäläinen, Konrad P. Körding, Pavan Ramkumar
:
Pyglmnet: Python implementation of elastic-net regularized generalized linear models. J. Open Source Softw. 5(47): 1959 (2020)
2010 – 2019
- 2019
- [c29]Kejie Li, Ravi Garg, Ming Cai, Ian Reid:
Single-view Object Shape Reconstruction Using Deep Shape Prior and Silhouette. BMVC 2019: 163 - [c28]Rajhans Singh, Pavan K. Turaga
, Suren Jayasuriya, Ravi Garg, Martin W. Braun:
Non-Parametric Priors For Generative Adversarial Networks. ICML 2019: 5838-5847 - [c27]Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg, Ian D. Reid
:
Self-supervised Learning for Single View Depth and Surface Normal Estimation. ICRA 2019: 4811-4817 - [i11]Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg, Ian D. Reid:
Self-supervised Learning for Single View Depth and Surface Normal Estimation. CoRR abs/1903.00112 (2019) - [i10]Rajhans Singh, Pavan K. Turaga, Suren Jayasuriya, Ravi Garg, Martin W. Braun:
Non-Parametric Priors For Generative Adversarial Networks. CoRR abs/1905.07061 (2019) - [i9]Carlos Eduardo Rosar Kós Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian D. Reid:
Improved Visual Localization via Graph Smoothing. CoRR abs/1911.02961 (2019) - 2018
- [c26]Chamara Saroj Weerasekera, Ravi Garg, Yasir Latif, Ian D. Reid
:
Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction. ACCV (5) 2018: 609-624 - [c25]Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian D. Reid
:
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction. CVPR 2018: 340-349 - [c24]Chamara Saroj Weerasekera, Thanuja Dharmasiri, Ravi Garg, Tom Drummond
, Ian D. Reid
:
Just-in-Time Reconstruction: Inpainting Sparse Maps Using Single View Depth Predictors as Priors. ICRA 2018: 1-9 - [c23]Yasir Latif, Ravi Garg, Michael Milford
, Ian D. Reid
:
Addressing Challenging Place Recognition Tasks Using Generative Adversarial Networks. ICRA 2018: 2349-2355 - [i8]Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian D. Reid:
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction. CoRR abs/1803.03893 (2018) - [i7]Chamara Saroj Weerasekera, Thanuja Dharmasiri, Ravi Garg, Tom Drummond, Ian D. Reid:
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors. CoRR abs/1805.04239 (2018) - [i6]Kejie Li, Ravi Garg, Ming Cai, Ian D. Reid:
Optimizable Object Reconstruction from a Single View. CoRR abs/1811.11921 (2018) - 2017
- [c22]Anton Milan, Seyed Hamid Rezatofighi, Ravi Garg, Anthony R. Dick, Ian D. Reid:
Data-Driven Approximations to NP-Hard Problems. AAAI 2017: 1453-1459 - [c21]Adrian Johnston, Ravi Garg, Gustavo Carneiro
, Ian D. Reid
:
Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image. ICCV Workshops 2017: 930-939 - [c20]Chamara Saroj Weerasekera, Yasir Latif, Ravi Garg, Ian D. Reid
:
Dense monocular reconstruction using surface normals. ICRA 2017: 2524-2531 - [i5]Pan Ji, Ian D. Reid, Ravi Garg, Hongdong Li, Mathieu Salzmann:
Low-Rank Kernel Subspace Clustering. CoRR abs/1707.04974 (2017) - [i4]Yasir Latif, Ravi Garg, Michael Milford, Ian David Reid:
Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks. CoRR abs/1709.08810 (2017) - [i3]Chamara Saroj Weerasekera, Ravi Garg, Ian D. Reid:
Learning Deeply Supervised Visual Descriptors for Dense Monocular Reconstruction. CoRR abs/1711.05919 (2017) - 2016
- [c19]Ravi Garg, B. G. Vijay Kumar, Gustavo Carneiro
, Ian D. Reid
:
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. ECCV (8) 2016: 740-756 - [i2]Ravi Garg, Vijay Kumar B. G, Ian D. Reid:
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. CoRR abs/1603.04992 (2016) - [i1]Ravi Garg, Anders P. Eriksson, Ian D. Reid:
Non-linear Dimensionality Regularizer for Solving Inverse Problems. CoRR abs/1603.05015 (2016) - 2015
- [j6]Adi Hajj-Ahmad, Ravi Garg, Min Wu
:
ENF-Based Region-of-Recording Identification for Media Signals. IEEE Trans. Inf. Forensics Secur. 10(6): 1125-1136 (2015) - 2014
- [c18]Hui Su, Adi Hajj-Ahmad, Ravi Garg, Min Wu:
Exploiting rolling shutter for ENF signal extraction from video. ICIP 2014: 5367-5371 - [c17]Hui Su, Adi Hajj-Ahmad, Chau-Wai Wong
, Ravi Garg, Min Wu:
ENF Signal Induced by Power Grid: A New Modality for Video Synchronization. ImmersiveMe@MM 2014: 13-18 - 2013
- [b1]Ravi Garg:
Dense motion capture of deformable surfaces from monocular video. Queen Mary University of London, UK, 2013 - [j5]Ravi Garg, Anastasios Roussos
, Lourdes Agapito
:
A Variational Approach to Video Registration with Subspace Constraints. Int. J. Comput. Vis. 104(3): 286-314 (2013) - [j4]Adi Hajj-Ahmad, Ravi Garg, Min Wu
:
Spectrum Combining for ENF Signal Estimation. IEEE Signal Process. Lett. 20(9): 885-888 (2013) - [j3]Ravi Garg, Avinash L. Varna, Adi Hajj-Ahmad, Min Wu
:
"Seeing" ENF: Power-Signature-Based Timestamp for Digital Multimedia via Optical Sensing and Signal Processing. IEEE Trans. Inf. Forensics Secur. 8(9): 1417-1432 (2013) - [j2]Wei-Hong Chuang, Ravi Garg, Min Wu
:
Anti-Forensics and Countermeasures of Electrical Network Frequency Analysis. IEEE Trans. Inf. Forensics Secur. 8(12): 2073-2088 (2013) - [c16]Ravi Garg, Anastasios Roussos
, Lourdes Agapito
:
Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video. CVPR 2013: 1272-1279 - [c15]Ravi Garg, Adi Hajj-Ahmad, Min Wu:
Geo-location estimation from Electrical Network Frequency signals. ICASSP 2013: 2862-2866 - [c14]Ravi Garg, Shantanu Rane:
A keypoint descriptor for alignment-free fingerprint matching. ICASSP 2013: 2994-2998 - [c13]Hui Su, Ravi Garg, Adi Hajj-Ahmad, Min Wu:
ENF analysis on recaptured audio recordings. ICASSP 2013: 3018-3022 - [c12]Adi Hajj-Ahmad, Ravi Garg, Min Wu:
ENF based location classification of sensor recordings. WIFS 2013: 138-143 - 2012
- [j1]Ravi Garg, Avinash L. Varna, Min Wu
:
An Efficient Gradient Descent Approach to Secure Localization in Resource Constrained Wireless Sensor Networks. IEEE Trans. Inf. Forensics Secur. 7(2): 717-730 (2012) - [c11]Adi Hajj-Ahmad, Ravi Garg, Min Wu:
Instantaneous frequency estimation and localization for ENF signals. APSIPA 2012: 1-10 - [c10]Wei-Hong Chuang, Ravi Garg, Min Wu:
How secure are power network signature based time stamps? CCS 2012: 428-438 - [c9]Ravi Garg, Avinash L. Varna, Min Wu:
A gradient descent based approach to secure localization in mobile sensor networks. ICASSP 2012: 1869-1872 - [c8]Anastasios Roussos
, Chris Russell
, Ravi Garg, Lourdes Agapito
:
Dense multibody motion estimation and reconstruction from a handheld camera. ISMAR 2012: 31-40 - [c7]Ravi Garg, Avinash L. Varna, Min Wu:
Modeling and analysis of Electric Network Frequency signal for timestamp verification. WIFS 2012: 67-72 - 2011
- [c6]Ravi Garg, Anastasios Roussos
, Lourdes Agapito
:
Robust Trajectory-Space TV-L1 Optical Flow for Non-rigid Sequences. EMMCVPR 2011: 300-314 - [c5]Ravi Garg, Avinash L. Varna, Min Wu:
"Seeing" ENF: natural time stamp for digital video via optical sensing and signal processing. ACM Multimedia 2011: 23-32 - [c4]Carme Julià
, Marco Paladini, Ravi Garg, Domenec Puig, Lourdes Agapito
:
Automatic Estimation of the Number of Deformation Modes in Non-rigid SfM with Missing Data. SCIA 2011: 381-392 - 2010
- [c3]Ravi Garg, Luis Pizarro, Daniel Rueckert
, Lourdes Agapito
:
Dense Multi-frame Optic Flow for Non-rigid Objects Using Subspace Constraints. ACCV (4) 2010: 460-473 - [c2]Ravi Garg, Avinash L. Varna, Min Wu:
Gradient descent approach for secure localization in resource constrained wireless sensor networks. ICASSP 2010: 1854-1857 - [c1]Ravi Garg, Rajendra Sahu, Stéphane Mousset, Abdelaziz Bensrhair:
Obstacle detection for vehicle navigation by chaining of adoptive declivities using geometrical constrains. ICDIP 2010: 75461E
Coauthor Index
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last updated on 2024-05-03 20:46 CEST by the dblp team
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