Rahul Garg
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
25
Active years
1995–2025
Best venue rank
A*
Where they publish
- A*ICCV5 papers
- NationalHiPC5 papers
- A*CVPR4 papers
- NationalCOMAD3 papers
- ASC3 papers
- AWACV2 papers
- A*PLDI2 papers
- AICS2 papers
- A*ACL1 paper
- A*SiggraphA1 paper
- A*ECCV1 paper
- BICCP1 paper
- BLREC1 paper
- CPDP1 paper
- AOOPSLA1 paper
- A*ASPLOS1 paper
- A*ICML1 paper
- AMICCAI1 paper
- BICPP1 paper
- A*SIGMETRICS1 paper
- A*STOC1 paper
- AUSENIX1 paper
- BWADS1 paper
- A*INFOCOM1 paper
- BICIP1 paper
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Just KIDDIN' : Knowledge Infusion and Distillation for Detection of INdecent Memes. | Rahul Garg, Trilok Padhi, Hemang Jain, Ugur Kursuncu, Ponnurangam Kumaraguru |
| 2025 | WACV | ReBotNet: Fast Real-Time Video Enhancement. | Jeya Maria Jose Valanarasu, Rahul Garg, Andeep Toor, Xin Tong, Weijuan Xi, Andreas Lugmayr, Vishal M. Patel, Anne Menini |
| 2025 | SiggraphA | Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Volumetric Performance Captures. | Yuancheng Xu, Wenqi Xian, Li Ma, Julien Philip, Ahmet Levent Tasel, Yiwei Zhao, Ryan D. Burgert, Mingming He, Oliver Hermann, Oliver Pilarski, Rahul Garg, Paul E. Debevec, Ning Yu |
| 2024 | COMAD | Union of Convex Separators (UCS). | Amit Prasad, Rahul Garg, Yogish Sabharwal |
| 2022 | CVPR | Zoom-to-Inpaint: Image Inpainting with High-Frequency Details. | Soo Ye Kim, Kfir Aberman, Nori Kanazawa, Rahul Garg, Neal Wadhwa, Huiwen Chang, Nikhil Karnad, Munchurl Kim, Orly Liba |
| 2021 | ICCV | How to Train Neural Networks for Flare Removal. | Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan T. Barron |
| 2021 | ICCV | Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image. | Shumian Xin, Neal Wadhwa, Tianfan Xue, Jonathan T. Barron, Pratul P. Srinivasan, Jiawen Chen, Ioannis Gkioulekas, Rahul Garg |
| 2021 | WACV | Learned Dual-View Reflection Removal. | Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue |
| 2020 | COMAD | Effective EEG Connectivity by Sparse Vector Autoregressive Model. | Abhishek Goyal, Rahul Garg |
| 2020 | CVPR | Learning to Autofocus. | Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih |
| 2020 | ECCV | Du | Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Hne, Sean Ryan Fanello, Rahul Garg |
| 2019 | COMAD | Near-Separable Non-negative Matrix Factorization Using L1-Optimization. | Aashish Nagpal, Chayan Sharma, Rahul Garg, Pawan Kumar |
| 2019 | HiPC | Acceleration of Sparse Vector Autoregressive Modeling Using GPUs. | Shreenivas Bharadwaj Venkataramanan, Rahul Garg, Yogish Sabharwal |
| 2019 | ICCP | Wireless Software Synchronization of Multiple Distributed Cameras. | Sameer Ansari, Neal Wadhwa, Rahul Garg, Jiawen Chen |
| 2019 | ICCV | Learning Single Camera Depth Estimation Using Dual-Pixels. | Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron |
| 2018 | CVPR | Aperture Supervision for Monocular Depth Estimation. | Pratul P. Srinivasan, Rahul Garg, Neal Wadhwa, Ren Ng, Jonathan T. Barron |
| 2018 | LREC | SandhiKosh: A Benchmark Corpus for Evaluating Sanskrit Sandhi Tools. | Shubham Bhardwaj, Neelamadhav Gantayat, Nikhil Chaturvedi, Rahul Garg, Sumeet Agarwal |
| 2015 | PLDI | Velociraptor: a compiler toolkit for array-based languages targeting CPUs and GPUs. | Rahul Garg, Sameer Jagdale, Laurie J. Hendren |
| 2014 | PDP | A Portable and High-Performance General Matrix-Multiply (GEMM) Library for GPUs and Single-Chip CPU/GPU Systems. | Rahul Garg, Laurie J. Hendren |
| 2014 | PLDI | Just-in-time shape inference for array-based languages. | Rahul Garg, Laurie J. Hendren |
| 2011 | CVPR | Where's Waldo: Matching people in images of crowds. | Rahul Garg, Steven M. Seitz, Deva Ramanan, Noah Snavely |
| 2011 | OOPSLA | McLAB: enabling programming language, compiler and software engineering research for matlab. | 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 Blanger |
| 2010 | ASPLOS | Compiling Python to a hybrid execution environment. | Rahul Garg, Jos Nelson Amaral |
| 2010 | HiPC | Balanced stream assignment for service facility. | Rahul Garg, Perwez Shahabuddin, Akshat Verma |
| 2009 | ICCV | The dimensionality of scene appearance. | Rahul Garg, Hao Du, Steven M. Seitz, Noah Snavely |
| 2009 | ICML | Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property. | Rahul Garg, Rohit Khandekar |
| 2009 | MICCAI | A Cluster Overlap Measure for Comparison of Activations in fMRI Studies. | Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao |
| 2008 | HiPC | Optimization of Fast Fourier Transforms on the Blue Gene/L Supercomputer. | Yogish Sabharwal, Saurabh Kumar Garg, Rahul Garg, John A. Gunnels, Ramendra K. Sahoo |
| 2008 | ICPP | Optimization of All-to-All Communication on the Blue Gene/L Supercomputer. | Sameer Kumar, Yogish Sabharwal, Rahul Garg, Philip Heidelberger |
| 2007 | ICCV | Locally Invariant Fractal Features for Statistical Texture Classification. | Manik Varma, Rahul Garg |
| 2006 | HiPC | Impact of Noise on Scaling of Collectives: An Empirical Evaluation. | Rahul Garg, Pradipta De |
| 2006 | ICS | Scalable algorithms for global snapshots in distributed systems. | Rahul Garg, Vijay K. Garg, Yogish Sabharwal |
| 2006 | SC | Gordon Bell finalists I - Large scale drop impact analysis of mobile phone using ADVC on Blue Gene/L. | 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 |
| 2006 | SC | MPI and communication - Software routing and aggregation of messages to optimize the performance of HPCC randomaccess benchmark. | Rahul Garg, Yogish Sabharwal |
| 2006 | SIGMETRICS | Optimizing the HPCC randomaccess benchmark on blue Gene/L Supercomputer. | Rahul Garg, Yogish Sabharwal |
| 2005 | HiPC | The Impact of Noise on the Scaling of Collectives: A Theoretical Approach. | Saurabh Agarwal, Rahul Garg, Nisheeth K. Vishnoi |
| 2004 | ICS | Adaptive incremental checkpointing for massively parallel systems. | Saurabh Agarwal, Rahul Garg, Meeta Sharma Gupta, Jos E. Moreira |
| 2004 | STOC | Auction algorithms for market equilibrium. | Rahul Garg, Sanjiv Kapoor |
| 2002 | SC | An overview of the BlueGene/L Supercomputer. | Narasimha R. Adiga, George Almsi, George S. Almsi, Yariv Aridor, Rajkishore Barik, Daniel K. Beece, Ralph Bellofatto, Gyan Bhanot, Randy Bickford, Matthias A. Blumrich, Arthur A. Bright, Jos R. Brunheroto, Calin Cascaval, Jos G. Castaos, 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, Jos 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 |
| 2001 | USENIX | An Architecture for Secure Generation and Verification of Electronic Coupons. | Rahul Garg, Parul A. Mittal, Vikas Agarwal, Natwar Modani |
| 2001 | WADS | Seller-Focused Algorithms for Online Auctioning. | Amitabha Bagchi, Amitabh Chaudhary, Rahul Garg, Michael T. Goodrich, Vijay Kumar |
| 2000 | INFOCOM | Fair Bandwidth Sharing Among Virtual Networks: A Capacity Resizing Approach. | Rahul Garg, Huzur Saran |
| 1995 | ICIP | Methods for matching compressed video to ATM networks. | Robert J. Safranek, Charles R. Kalmanek Jr., Rahul Garg |