| Polymage: Automatic optimization for image processing pipelines RT Mullapudi, V Vasista, U Bondhugula ACM SIGARCH Computer Architecture News 43 (1), 429-443, 2015 | 248 | 2015 |
| Automatically scheduling halide image processing pipelines RT Mullapudi, A Adams, D Sharlet, J Ragan-Kelley, K Fatahalian ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016 | 225 | 2016 |
| Hydranets: Specialized dynamic architectures for efficient inference RT Mullapudi, WR Mark, N Shazeer, K Fatahalian Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 130 | 2018 |
| Online model distillation for efficient video inference RT Mullapudi, S Chen, K Zhang, D Ramanan, K Fatahalian Proceedings of the IEEE/CVF International conference on computer vision …, 2019 | 85 | 2019 |
| Tiling for dynamic scheduling RT Mullapudi, U Bondhugula Proceedings of the 4th International Workshop on Polyhedral Compilation …, 2014 | 40 | 2014 |
| Learning to move with affordance maps W Qi, RT Mullapudi, S Gupta, D Ramanan arXiv preprint arXiv:2001.02364, 2020 | 24 | 2020 |
| Compiling affine loop nests for a dynamic scheduling runtime on shared and distributed memory R Dathathri, RT Mullapudi, U Bondhugula ACM Transactions on Parallel Computing (TOPC) 3 (2), 1-28, 2016 | 23 | 2016 |
| Learning rare category classifiers on a tight labeling budget RT Mullapudi, F Poms, WR Mark, D Ramanan, K Fatahalian Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 13 | 2021 |
| Background splitting: finding rare classes in a sea of background RT Mullapudi, F Poms, WR Mark, D Ramanan, K Fatahalian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 8 | 2021 |
| Low-shot validation: Active importance sampling for estimating classifier performance on rare categories F Poms, V Sarukkai, RT Mullapudi, NS Sohoni, WR Mark, D Ramanan, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 6 | 2021 |
| Online model distillation for efficient video inference. In 2019 IEEE RT Mullapudi, S Chen, K Zhang, D Ramanan, K Fatahalian CVF International Conference on Computer Vision, ICCV, 3572-3581, 2019 | 6 | 2019 |
| PolyMage: Automatic Optimization for Image Processing Pipelines. SIGARCH Comput. Archit. News 43, 1 (March 2015), 429–443 RT Mullapudi, V Vasista, U Bondhugula | 6 | 2015 |
| Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings MF Chen, DY Fu, F Sala, S Wu, RT Mullapudi, F Poms, K Fatahalian, ... arXiv preprint arXiv:2006.15168, 2020 | 5 | 2020 |
| Online Model Distillation for Efficient Video Inference R Teja Mullapudi, S Chen, K Zhang, D Ramanan, K Fatahalian arXiv e-prints, arXiv: 1812.02699, 2018 | | 2018 |
| Automatically Scheduling Halide Image Processing Pipelines A Adams, D Sharlet, J Ragan-Kelley, K Fatahalian, RT Mullapudi | | 2016 |
| 2021 Theses by Author A BAWEJA, R BOHRER, A BOLLU, E CAVALLO, S CHAUDHRY, ... | | |
| BAWEJA, Anubhav CMU-CS-21-133 BOHRER, Rose CMU-CS-21-115 BOLLU, Anand CMU-CS-21-124 CAVALLO, Evan CMU-CS-21-100 S CHAUDHRY, DD CHEN, J CHEN, Z CHEN, T CHU, A DAS, W DING, ... | | |
| Dynamic Model Specialization for Efficient Inference, Training and Supervision RT Mullapudi Carnegie Mellon University, 0 | | |
Kayvon FatahalianAssistant Professor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
