
Rahul Garg
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2020
- [c54]Abhishek Goyal, Rahul Garg:
Effective EEG Connectivity by Sparse Vector Autoregressive Model. COMAD/CODS 2020: 37-45 - [c53]Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih:
Learning to Autofocus. CVPR 2020: 2227-2236 - [c52]Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Häne, Sean Ryan Fanello, Rahul Garg:
Du2Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels. ECCV (1) 2020: 582-598 - [i9]Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Häne, Sean Ryan Fanello, Rahul Garg:
Du2Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels. CoRR abs/2003.14299 (2020) - [i8]Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih:
Learning to Autofocus. CoRR abs/2004.12260 (2020) - [i7]Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue:
Learned Dual-View Reflection Removal. CoRR abs/2010.00702 (2020) - [i6]Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan T. Barron:
Single-Image Lens Flare Removal. CoRR abs/2011.12485 (2020) - [i5]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 abs/2012.09401 (2020)
2010 – 2019
- 2019
- [c51]Aashish Nagpal, Chayan Sharma, Rahul Garg, Pawan Kumar:
Near-Separable Non-negative Matrix Factorization Using L1-Optimization. COMAD/CODS 2019: 121-127 - [c50]Shreenivas Bharadwaj Venkataramanan, Rahul Garg, Yogish Sabharwal:
Acceleration of Sparse Vector Autoregressive Modeling Using GPUs. HiPC 2019: 163-172 - [c49]Sameer Ansari, Neal Wadhwa, Rahul Garg, Jiawen Chen:
Wireless Software Synchronization of Multiple Distributed Cameras. ICCP 2019: 1-9 - [c48]Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron:
Learning Single Camera Depth Estimation Using Dual-Pixels. ICCV 2019: 7627-7636 - [i4]Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron:
Learning Single Camera Depth Estimation using Dual-Pixels. CoRR abs/1904.05822 (2019) - 2018
- [j13]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): 64:1-64:13 (2018) - [c47]Pratul P. Srinivasan, Rahul Garg, Neal Wadhwa, Ren Ng, Jonathan T. Barron:
Aperture Supervision for Monocular Depth Estimation. CVPR 2018: 6393-6401 - [c46]Shubham Bhardwaj, Neelamadhav Gantayat, Nikhil Chaturvedi, Rahul Garg, Sumeet Agarwal:
SandhiKosh: A Benchmark Corpus for Evaluating Sanskrit Sandhi Tools. LREC 2018 - [i3]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 abs/1806.04171 (2018) - [i2]Sameer Ansari, Neal Wadhwa, Rahul Garg, Jiawen Chen:
Wireless Software Synchronization of Multiple Distributed Cameras. CoRR abs/1812.09366 (2018) - 2017
- [i1]Pratul P. Srinivasan, Rahul Garg, Neal Wadhwa, Ren Ng, Jonathan T. Barron:
Aperture Supervision for Monocular Depth Estimation. CoRR abs/1711.07933 (2017) - 2016
- [j12]Lisa Fleischer, Rahul Garg, Sanjiv Kapoor, Rohit Khandekar, Amin Saberi:
A Simple and Efficient Algorithm for Computing Market Equilibria. ACM Trans. Algorithms 12(3): 34:1-34:15 (2016) - 2015
- [c45]Rahul Garg, Sameer Jagdale, Laurie J. Hendren:
Velociraptor: a compiler toolkit for array-based languages targeting CPUs and GPUs. ARRAY@PLDI 2015: 19-24 - 2014
- [j11]Ira Kemelmacher-Shlizerman, Eli Shechtman, Rahul Garg, Steven M. Seitz:
Moving portraits. Commun. ACM 57(9): 93-99 (2014) - [c44]Rahul Garg, Laurie J. Hendren:
Velociraptor: an embedded compiler toolkit for numerical programs targeting CPUs and GPUs. PACT 2014: 317-330 - [c43]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: 672-680 - [c42]Rahul Garg, Laurie J. Hendren:
Just-in-time shape inference for array-based languages. ARRAY@PLDI 2014: 50-55 - 2012
- [c41]Rahul Garg, Steven M. Seitz:
Dynamic Mosaics. 3DIMPVT 2012: 65-72 - 2011
- [j10]Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao:
Full-brain auto-regressive modeling (FARM) using fMRI. NeuroImage 58(2): 416-441 (2011) - [j9]Ira Kemelmacher-Shlizerman, Eli Shechtman, Rahul Garg, Steven M. Seitz:
Exploring photobios. ACM Trans. Graph. 30(4): 61 (2011) - [c40]Rahul Garg, Steven M. Seitz, Deva Ramanan, Noah Snavely:
Where's Waldo: Matching people in images of crowds. CVPR 2011: 1793-1800 - [c39]T. C. Deepak Shekhar, Kiran Varaganti, Rahul Suresh, Rahul Garg, Ramalingam Ramamoorthy:
Comparison of Parallel Programming Models for Multicore Architectures. IPDPS Workshops 2011: 1675-1682 - [c38]A. Ravishankar Rao, Rahul Garg, Guillermo A. Cecchi:
A spatio-temporal support vector machine searchlight for fMRI analysis. ISBI 2011: 1023-1026 - [c37]Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao:
Brain as a self-predictor: Sparse full-brain auto-regressive modeling in fMRI. ISBI 2011: 1581-1584 - [c36]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: 195-196 - [c35]Rahul Garg, Rohit Khandekar:
Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso. AISTATS 2011: 296-304 - 2010
- [j8]Rahul Garg, Vijay K. Garg, Yogish Sabharwal:
Efficient Algorithms for Global Snapshots in Large Distributed Systems. IEEE Trans. Parallel Distributed Syst. 21(5): 620-630 (2010) - [c34]Rahul Garg, José Nelson Amaral:
Compiling Python to a hybrid execution environment. GPGPU 2010: 19-30 - [c33]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: 114-117 - [c32]Rahul Garg, Perwez Shahabuddin, Akshat Verma:
Balanced stream assignment for service facility. HiPC 2010: 1-10
2000 – 2009
- 2009
- [j7]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): 112-122 (2009) - [c31]Rahul Garg, Hao Du, Steven M. Seitz, Noah Snavely:
The dimensionality of scene appearance. ICCV 2009: 1917-1924 - [c30]Mikaël Ates, Jacques Fayolle, Christophe Gravier, Jérémy Lardon, Rahul Garg:
Privacy for RFID-enabled Distributed Applications - Design Notes. ICEIS (3) 2009: 324-328 - [c29]Rahul Garg, Rohit Khandekar:
Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property. ICML 2009: 337-344 - [c28]Vikas Aggarwal, Yogish Sabharwal, Rahul Garg, Philip Heidelberger:
HPCC Random Access benchmark for next generation supercomputers. IPDPS 2009: 1-11 - [c27]Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao:
A Cluster Overlap Measure for Comparison of Activations in fMRI Studies. MICCAI (1) 2009: 1018-1025 - 2008
- [j6]Noah Snavely, Rahul Garg, Steven M. Seitz, Richard Szeliski:
Finding paths through the world's photos. ACM Trans. Graph. 27(3): 15 (2008) - [c26]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: 309-322 - [c25]Sameer Kumar, Yogish Sabharwal, Rahul Garg, Philip Heidelberger:
Optimization of All-to-All Communication on the Blue Gene/L Supercomputer. ICPP 2008: 320-329 - [c24]Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao:
Inferring brain dynamics using granger causality on fMRI data. ISBI 2008: 604-607 - [c23]Lisa Fleischer, Rahul Garg, Sanjiv Kapoor, Rohit Khandekar, Amin Saberi:
A Fast and Simple Algorithm for Computing Market Equilibria. WINE 2008: 19-30 - 2007
- [c22]Manik Varma, Rahul Garg:
Locally Invariant Fractal Features for Statistical Texture Classification. ICCV 2007: 1-8 - [c21]Christopher Barton, Calin Cascaval, George Almási, Rahul Garg, José Nelson Amaral, Montse Farreras:
Multidimensional Blocking in UPC. LCPC 2007: 47-62 - [c20]Rahul Garg, Sanjiv Kapoor:
Market Equilibrium Using Auctions for a Class of Gross-Substitute Utilities. WINE 2007: 356-361 - 2006
- [j5]Rahul Garg, Sanjiv Kapoor:
Auction Algorithms for Market Equilibrium. Math. Oper. Res. 31(4): 714-729 (2006) - [c19]Rahul Garg, Pradipta De:
Impact of Noise on Scaling of Collectives: An Empirical Evaluation. HiPC 2006: 460-471 - [c18]Rahul Garg, Vijay K. Garg, Yogish Sabharwal:
Scalable algorithms for global snapshots in distributed systems. ICS 2006: 269-277 - [c17]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: 46 - [c16]Rahul Garg, Yogish Sabharwal:
MPI and communication - Software routing and aggregation of messages to optimize the performance of HPCC randomaccess benchmark. SC 2006: 109 - [c15]Rahul Garg, Yogish Sabharwal:
Optimizing the HPCC randomaccess benchmark on blue Gene/L Supercomputer. SIGMETRICS/Performance 2006: 369-370 - [c14]Pradeep Dubey, Rahul Garg, Bernard De Meyer:
Competing for Customers in a Social Network: The Quasi-linear Case. WINE 2006: 162-173 - [c13]Pradeep Dubey, Rahul Garg:
Games of Connectivity. WINE 2006: 186-197 - [c12]Rahul Garg, Sanjiv Kapoor:
Price Roll-Backs and Path Auctions: An Approximation Scheme for Computing the Market Equilibrium. WINE 2006: 225-238 - 2005
- [j4]Vipul Bansal, Rahul Garg:
Simultaneous Independent Online Auctions with Discrete Bid Increments. Electron. Commer. Res. 5(2): 181-201 (2005) - [c11]Saurabh Agarwal, Rahul Garg, Nisheeth K. Vishnoi:
The Impact of Noise on the Scaling of Collectives: A Theoretical Approach. HiPC 2005: 280-289 - 2004
- [c10]Rahul Garg, Sanjiv Kapoor, Vijay V. Vazirani:
An Auction-Based Market Equilibrium Algorithm for the Separable Gross Substitutability Case. APPROX-RANDOM 2004: 128-138 - [c9]Saurabh Agarwal, Rahul Garg, Meeta Sharma Gupta, José E. Moreira:
Adaptive incremental checkpointing for massively parallel systems. ICS 2004: 277-286 - [c8]Rahul Garg, Sanjiv Kapoor:
Auction algorithms for market equilibrium. STOC 2004: 511-518 - 2003
- [c7]Rahul Garg, Vijay Kumar, Atri Rudra, Akshat Verma:
Coalitional games on graphs: core structure, substitutes and frugality. EC 2003: 248-249 - 2002
- [j3]Rahul Garg, Abhinav Kamra, Varun Khurana:
A game-theoretic approach towards congestion control in communication networks. Comput. Commun. Rev. 32(3): 47-61 (2002) - [c6]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 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: 7:1-7:22 - 2001
- [j2]Vipul Bansal, Rahul Garg:
Efficiency and price discovery in multi-item auctions. SIGecom Exch. 2(1): 26-32 (2001) - [c5]Rahul Garg, Vijay Kumar, Vinayaka Pandit:
Approximation Algorithms for Budget-Constrained Auctions. RANDOM-APPROX 2001: 102-113 - [c4]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: 51-63 - [c3]Amitabha Bagchi, Amitabh Chaudhary, Rahul Garg, Michael T. Goodrich, Vijay Kumar:
Seller-Focused Algorithms for Online Auctioning. WADS 2001: 135-147 - 2000
- [c2]Rahul Garg, Huzur Saran:
Fair Bandwidth Sharing Among Virtual Networks: A Capacity Resizing Approach. INFOCOM 2000: 255-264
1990 – 1999
- 1999
- [j1]Rahul Garg, Xiaoqiang Chen:
RRR: recursive round robin scheduler. Comput. Networks 31(18): 1951-1966 (1999) - [c1]Rahul Garg, Raphael Rom:
4 An ATM Switch Control Interface for Quality of Service and Reliability. Broadband Communications 1999: 405-418
Coauthor Index

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
Tweets on dblp homepage
Show tweets from on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2021-02-03 00:23 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint