Ravi Teja Mullapudi

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 13

Top Topics

Image Processing

Efficient Inference

Dynamic Scheduling

Top Venues

ACM Trans. Parallel Comput.

Publications

Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. ICCV (2021)
Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Learning Rare Category Classifiers on a Tight Labeling Budget. ICCV (2021)
Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. CoRR (2021)
Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Background Splitting: Finding Rare Classes in a Sea of Background. CVPR (2021)
William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan
Learning to Move with Affordance Maps. CoRR (2020)
Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. CoRR (2020)
Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Background Splitting: Finding Rare Classes in a Sea of Background. CoRR (2020)
William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan
Learning to Move with Affordance Maps. ICLR (2020)
Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian
Online Model Distillation for Efficient Video Inference. ICCV (2019)
Ravi Teja Mullapudi, William R. Mark, Noam Shazeer, Kayvon Fatahalian
HydraNets: Specialized Dynamic Architectures for Efficient Inference. CVPR (2018)
Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian
Online Model Distillation for Efficient Video Inference. CoRR (2018)
Ravi Teja Mullapudi, Andrew Adams, Dillon Sharlet, Jonathan Ragan-Kelley, Kayvon Fatahalian
Automatically scheduling halide image processing pipelines. ACM Trans. Graph. 35 (4) (2016)
Roshan Dathathri, Ravi Teja Mullapudi, Uday Bondhugula
Compiling Affine Loop Nests for a Dynamic Scheduling Runtime on Shared and Distributed Memory. ACM Trans. Parallel Comput. 3 (2) (2016)
Ravi Teja Mullapudi, Vinay Vasista, Uday Bondhugula
PolyMage: Automatic Optimization for Image Processing Pipelines. ASPLOS (2015)