Rahul Garg

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 30

Top Topics

Learning Models

Matrix Factorization

Depth Estimation

Top Venues

Publications

Jeya Maria Jose Valanarasu, Rahul Garg, Andeep Toor, Xin Tong, Weijuan Xi, Andreas Lugmayr, Vishal M. Patel, Anne Menini
ReBotNet: Fast Real-time Video Enhancement. CoRR (2023)
Mustafa Chasmai, Nirjhar Das, Aman Bhardwaj, Rahul Garg
A View Independent Classification Framework for Yoga Postures. CoRR (2022)
Raunak Jain, Mrityunjai Singh, A. Ravishankar Rao, Rahul Garg
Machine Learning Models To Predict Length Of Stay In Hospitals. ICHI (2022)
Mustafa Chasmai, Nirjhar Das, Aman Bhardwaj, Rahul Garg
A View Independent Classification Framework for Yoga Postures. SN Comput. Sci. 3 (6) (2022)
Vaibhav Tripathi, Rahul Garg
Weak task synchronization of default mode network in task based paradigms. NeuroImage 251 (2022)
Soo Ye Kim, Kfir Aberman, Nori Kanazawa, Rahul Garg, Neal Wadhwa, Huiwen Chang, Nikhil Karnad, Munchurl Kim, Orly Liba
Zoom-to-Inpaint: Image Inpainting with High-Frequency Details. CVPR Workshops (2022)
Shumian Xin, Neal Wadhwa, Tianfan Xue, Jonathan T. Barron, Pratul P. Srinivasan, Jiawen Chen, Ioannis Gkioulekas, Rahul Garg
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image. CoRR (2021)
Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan T. Barron
How to Train Neural Networks for Flare Removal. ICCV (2021)
Shumian Xin, Neal Wadhwa, Tianfan Xue, Jonathan T. Barron, Pratul P. Srinivasan, Jiawen Chen, Ioannis Gkioulekas, Rahul Garg
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image. ICCV (2021)
Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue
Learned Dual-View Reflection Removal. WACV (2021)
Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue
Learned Dual-View Reflection Removal. CoRR (2020)
Abhishek Goyal, Rahul Garg
Effective EEG Connectivity by Sparse Vector Autoregressive Model. COMAD/CODS (2020)
Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan T. Barron
Single-Image Lens Flare Removal. CoRR (2020)
Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih
Learning to Autofocus. CVPR (2020)
Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih
Learning to Autofocus. CoRR (2020)
Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Häne, Sean Ryan Fanello, Rahul Garg
Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels. ECCV (1) (2020)
Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Häne, Sean Ryan Fanello, Rahul Garg
Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels. CoRR (2020)
Soo Ye Kim, Kfir Aberman, Nori Kanazawa, Rahul Garg, Neal Wadhwa, Huiwen Chang, Nikhil Karnad, Munchurl Kim, Orly Liba
Zoom-to-Inpaint: Image Inpainting with High Frequency Details. CoRR (2020)
Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron
Learning Single Camera Depth Estimation using Dual-Pixels. CoRR (2019)
Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron
Learning Single Camera Depth Estimation Using Dual-Pixels. ICCV (2019)
Shreenivas Bharadwaj Venkataramanan, Rahul Garg, Yogish Sabharwal
Acceleration of Sparse Vector Autoregressive Modeling Using GPUs. HiPC (2019)
Aashish Nagpal, Chayan Sharma, Rahul Garg, Pawan Kumar
Near-Separable Non-negative Matrix Factorization Using L1-Optimization. COMAD/CODS (2019)
Sameer Ansari, Neal Wadhwa, Rahul Garg, Jiawen Chen
Wireless Software Synchronization of Multiple Distributed Cameras. ICCP (2019)
Shubham Bhardwaj, Neelamadhav Gantayat, Nikhil Chaturvedi, Rahul Garg, Sumeet Agarwal
SandhiKosh: A Benchmark Corpus for Evaluating Sanskrit Sandhi Tools. LREC (2018)
Pratul P. Srinivasan, Rahul Garg, Neal Wadhwa, Ren Ng, Jonathan T. Barron
Aperture Supervision for Monocular Depth Estimation. CVPR (2018)
Neal Wadhwa, Rahul Garg, David E. Jacobs, Bryan E. Feldman, Nori Kanazawa, Robert Carroll, Yair Movshovitz-Attias, Jonathan T. Barron, Yael Pritch, Marc Levoy
Synthetic depth-of-field with a single-camera mobile phone. ACM Trans. Graph. 37 (4) (2018)
Neal Wadhwa, Rahul Garg, David E. Jacobs, Bryan E. Feldman, Nori Kanazawa, Robert Carroll, Yair Movshovitz-Attias, Jonathan T. Barron, Yael Pritch, Marc Levoy
Synthetic Depth-of-Field with a Single-Camera Mobile Phone. CoRR (2018)
Sameer Ansari, Neal Wadhwa, Rahul Garg, Jiawen Chen
Wireless Software Synchronization of Multiple Distributed Cameras. CoRR (2018)
Pratul P. Srinivasan, Rahul Garg, Neal Wadhwa, Ren Ng, Jonathan T. Barron
Aperture Supervision for Monocular Depth Estimation. CoRR (2017)
Lisa Fleischer, Rahul Garg, Sanjiv Kapoor, Rohit Khandekar, Amin Saberi
A Simple and Efficient Algorithm for Computing Market Equilibria. ACM Trans. Algorithms 12 (3) (2016)
Rahul Garg, Sameer Jagdale, Laurie J. Hendren
Velociraptor: a compiler toolkit for array-based languages targeting CPUs and GPUs. ARRAY@PLDI (2015)
Rahul Garg, Laurie J. Hendren
A Portable and High-Performance General Matrix-Multiply (GEMM) Library for GPUs and Single-Chip CPU/GPU Systems. PDP (2014)
Ira Kemelmacher-Shlizerman, Eli Shechtman, Rahul Garg, Steven M. Seitz
Moving portraits. Commun. ACM 57 (9) (2014)
Rahul Garg, Laurie J. Hendren
Just-in-time shape inference for array-based languages. ARRAY@PLDI (2014)
Rahul Garg, Laurie J. Hendren
Velociraptor: an embedded compiler toolkit for numerical programs targeting CPUs and GPUs. PACT (2014)
Rahul Garg, Steven M. Seitz
Dynamic Mosaics. 3DIMPVT (2012)
Laurie J. Hendren, Jesse Doherty, Anton Dubrau, Rahul Garg, Nurudeen Lameed, Soroush Radpour, Amina Aslam, Toheed Aslam, Andrew Casey, Maxime Chevalier-Boisvert, Jun Li, Clark Verbrugge, Olivier Savary Bélanger
McLAB: enabling programming language, compiler and software engineering research for matlab. OOPSLA Companion (2011)
Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao
Brain as a self-predictor: Sparse full-brain auto-regressive modeling in fMRI. ISBI (2011)
Rahul Garg, Steven M. Seitz, Deva Ramanan, Noah Snavely
Where's Waldo: Matching people in images of crowds. CVPR (2011)
T. C. Deepak Shekhar, Kiran Varaganti, Rahul Suresh, Rahul Garg, Ramalingam Ramamoorthy
Comparison of Parallel Programming Models for Multicore Architectures. IPDPS Workshops (2011)
Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao
Full-brain auto-regressive modeling (FARM) using fMRI. NeuroImage 58 (2) (2011)
A. Ravishankar Rao, Rahul Garg, Guillermo A. Cecchi
A spatio-temporal support vector machine searchlight for fMRI analysis. ISBI (2011)
Rahul Garg, Rohit Khandekar
Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso. AISTATS (2011)
Ira Kemelmacher-Shlizerman, Eli Shechtman, Rahul Garg, Steven M. Seitz
Exploring photobios. ACM Trans. Graph. 30 (4) (2011)
Rahul Garg, Perwez Shahabuddin, Akshat Verma
Balanced stream assignment for service facility. HiPC (2010)
Rahul Garg, Vijay K. Garg, Yogish Sabharwal
Efficient Algorithms for Global Snapshots in Large Distributed Systems. IEEE Trans. Parallel Distributed Syst. 21 (5) (2010)
Rahul Garg, José Nelson Amaral
Compiling Python to a hybrid execution environment. GPGPU (2010)
Andrew Casey, Jun Li, Jesse Doherty, Maxime Chevalier-Boisvert, Toheed Aslam, Anton Dubrau, Nurudeen Lameed, Amina Aslam, Rahul Garg, Soroush Radpour, Olivier Savary Bélanger, Laurie J. Hendren, Clark Verbrugge
McLab: an extensible compiler toolkit for MATLAB and related languages. C3S2E (2010)
Melissa K. Carroll, Guillermo A. Cecchi, Irina Rish, Rahul Garg, A. Ravishankar Rao
Prediction and interpretation of distributed neural activity with sparse models. NeuroImage 44 (1) (2009)
Mikaël Ates, Jacques Fayolle, Christophe Gravier, Jérémy Lardon, Rahul Garg
Privacy for RFID-enabled Distributed Applications - Design Notes. ICEIS (3) (2009)
Rahul Garg, Rohit Khandekar
Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property. ICML (2009)
Vikas Aggarwal, Yogish Sabharwal, Rahul Garg, Philip Heidelberger
HPCC Random Access benchmark for next generation supercomputers. IPDPS (2009)
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao
A Cluster Overlap Measure for Comparison of Activations in fMRI Studies. MICCAI (1) (2009)
Rahul Garg, Hao Du, Steven M. Seitz, Noah Snavely
The dimensionality of scene appearance. ICCV (2009)
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao
Inferring brain dynamics using granger causality on fMRI data. ISBI (2008)
Yogish Sabharwal, Saurabh Kumar Garg, Rahul Garg, John A. Gunnels, Ramendra K. Sahoo
Optimization of Fast Fourier Transforms on the Blue Gene/L Supercomputer. HiPC (2008)
Noah Snavely, Rahul Garg, Steven M. Seitz, Richard Szeliski
Finding paths through the world's photos. ACM Trans. Graph. 27 (3) (2008)
Lisa Fleischer, Rahul Garg, Sanjiv Kapoor, Rohit Khandekar, Amin Saberi
A Fast and Simple Algorithm for Computing Market Equilibria. WINE (2008)
Sameer Kumar, Yogish Sabharwal, Rahul Garg, Philip Heidelberger
Optimization of All-to-All Communication on the Blue Gene/L Supercomputer. ICPP (2008)
Christopher Barton, Calin Cascaval, George Almási, Rahul Garg, José Nelson Amaral, Montse Farreras
Multidimensional Blocking in UPC. LCPC (2007)
Manik Varma, Rahul Garg
Locally Invariant Fractal Features for Statistical Texture Classification. ICCV (2007)
Rahul Garg, Sanjiv Kapoor
Market Equilibrium Using Auctions for a Class of Gross-Substitute Utilities. WINE (2007)
Rahul Garg, Yogish Sabharwal
Optimizing the HPCC randomaccess benchmark on blue Gene/L Supercomputer. SIGMETRICS/Performance (2006)
Pradeep Dubey, Rahul Garg, Bernard De Meyer
Competing for Customers in a Social Network: The Quasi-linear Case. WINE (2006)
Pradeep Dubey, Rahul Garg
Games of Connectivity. WINE (2006)
Rahul Garg, Yogish Sabharwal
MPI and communication - Software routing and aggregation of messages to optimize the performance of HPCC randomaccess benchmark. SC (2006)
Rahul Garg, Pradipta De
Impact of Noise on Scaling of Collectives: An Empirical Evaluation. HiPC (2006)
Rahul Garg, Sanjiv Kapoor
Price Roll-Backs and Path Auctions: An Approximation Scheme for Computing the Market Equilibrium. WINE (2006)
Rahul Garg, Vijay K. Garg, Yogish Sabharwal
Scalable algorithms for global snapshots in distributed systems. ICS (2006)
Rahul Garg, Sanjiv Kapoor
Auction Algorithms for Market Equilibrium. Math. Oper. Res. 31 (4) (2006)
Hiroshi Akiba, Tomonobu Ohyama, Yoshinoir Shibata, Kiyoshi Yuyama, Yoshikazu Katai, Ryuichi Takeuchi, Takeshi Hoshino, Shinobu Yoshimura, Hirohisa Noguchi, Manish Gupta, John A. Gunnels, Vernon Austel, Yogish Sabharwal, Rahul Garg, Shoji Kato, Takashi Kawakami, Satoru Todokoro, Junko Ikeda
Gordon Bell finalists I - Large scale drop impact analysis of mobile phone using ADVC on Blue Gene/L. SC (2006)
Vipul Bansal, Rahul Garg
Simultaneous Independent Online Auctions with Discrete Bid Increments. Electron. Commer. Res. 5 (2) (2005)
Saurabh Agarwal, Rahul Garg, Nisheeth K. Vishnoi
The Impact of Noise on the Scaling of Collectives: A Theoretical Approach. HiPC (2005)
Rahul Garg, Sanjiv Kapoor
Auction algorithms for market equilibrium. STOC (2004)
Saurabh Agarwal, Rahul Garg, Meeta Sharma Gupta, José E. Moreira
Adaptive incremental checkpointing for massively parallel systems. ICS (2004)
Rahul Garg, Sanjiv Kapoor, Vijay V. Vazirani
An Auction-Based Market Equilibrium Algorithm for the Separable Gross Substitutability Case. APPROX-RANDOM (2004)
Rahul Garg, Vijay Kumar, Atri Rudra, Akshat Verma
Coalitional games on graphs: core structure, substitutes and frugality. EC (2003)
Rahul Garg, Abhinav Kamra, Varun Khurana
A game-theoretic approach towards congestion control in communication networks. Comput. Commun. Rev. 32 (3) (2002)
Narasimha R. Adiga, George Almási, George S. Almási, Yariv Aridor, Rajkishore Barik, Daniel K. Beece, Ralph Bellofatto, Gyan Bhanot, Randy Bickford, Matthias A. Blumrich, Arthur A. Bright, José R. Brunheroto, Calin Cascaval, José G. Castaños, Waiman Chan, Luis Ceze, Paul Coteus, Siddhartha Chatterjee, Dong Chen, George L.-T. Chiu, Thomas M. Cipolla, Paul Crumley, K. M. Desai, Alina Deutsch, Tamar Domany, Marc Boris Dombrowa, Wilm E. Donath, Maria Eleftheriou, C. Christopher Erway, J. Esch, Blake G. Fitch, Joseph Gagliano, Alan Gara, Rahul Garg, Robert S. Germain, Mark Giampapa, Balaji Gopalsamy, John A. Gunnels, Manish Gupta, Fred G. Gustavson, Shawn Hall, Ruud A. Haring, David F. Heidel, Philip Heidelberger, Lorraine Herger, Dirk Hoenicke, R. D. Jackson, T. Jamal-Eddine, Gerard V. Kopcsay, Elie Krevat, Manish P. Kurhekar, Alphonso P. Lanzetta, Derek Lieber, L. K. Liu, M. Lu, Mark P. Mendell, A. Misra, Yosef Moatti, Lawrence S. Mok, José E. Moreira, Ben J. Nathanson, Matthew Newton, Martin Ohmacht, Adam J. Oliner, Vinayaka Pandit, R. B. Pudota, Rick A. Rand, Richard D. Regan, Bradley Rubin, Albert E. Ruehli, Silvius Vasile Rus, Ramendra K. Sahoo, Alda Sanomiya, Eugen Schenfeld, M. Sharma, Edi Shmueli, Sarabjeet Singh, Peilin Song, Vijay Srinivasan, Burkhard D. Steinmacher-Burow, Karin Strauss, Christopher W. Surovic, Richard A. Swetz, Todd Takken, R. Brett Tremaine, Mickey Tsao, Arun R. Umamaheshwaran, P. Verma, Pavlos Vranas, T. J. Christopher Ward, Michael E. Wazlowski, W. Barrett, C. Engel, B. Drehmel, B. Hilgart, D. Hill, F. Kasemkhani, David J. Krolak, Chun-Tao Li, Thomas A. Liebsch, James A. Marcella, A. Muff, A. Okomo, M. Rouse, A. Schram, M. Tubbs, G. Ulsh, Charles D. Wait, J. Wittrup, Myung Bae, Kenneth A. Dockser, Lynn Kissel, Mark K. Seager, Jeffrey S. Vetter, K. Yates
An overview of the BlueGene/L Supercomputer. SC (2002)
Rahul Garg, Vijay Kumar, Vinayaka Pandit
Approximation Algorithms for Budget-Constrained Auctions. RANDOM-APPROX (2001)
Amitabha Bagchi, Amitabh Chaudhary, Rahul Garg, Michael T. Goodrich, Vijay Kumar
Seller-Focused Algorithms for Online Auctioning. WADS (2001)
Vipul Bansal, Rahul Garg
Efficiency and price discovery in multi-item auctions. SIGecom Exch. 2 (1) (2001)
Rahul Garg, Parul A. Mittal, Vikas Agarwal, Natwar Modani
An Architecture for Secure Generation and Verification of Electronic Coupons. USENIX Annual Technical Conference, General Track (2001)
Rahul Garg, Huzur Saran
Fair Bandwidth Sharing Among Virtual Networks: A Capacity Resizing Approach. INFOCOM (2000)
Rahul Garg, Raphael Rom
4 An ATM Switch Control Interface for Quality of Service and Reliability. Broadband Communications (1999)
Rahul Garg, Xiaoqiang Chen
RRR: recursive round robin scheduler. Comput. Networks 31 (18) (1999)
Robert J. Safranek, Charles R. Kalmanek Jr., Rahul Garg
Methods for matching compressed video to ATM networks. ICIP (1995)