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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 - [i14]Shin-Fang Chng, Ravi Garg, Hemanth Saratchandran, Simon Lucey:
Invertible Neural Warp for NeRF. CoRR abs/2407.12354 (2024) - 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 2024-10-07 21:24 CEST by the dblp team
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