PolyMage: Automatic Optimization for Image Processing Pipelines. - Ravi Teja Mullapudi; Vinay Vasista; Uday Bondhugula (ASPLOS, 2015)

Automatically scheduling halide image processing pipelines. - Ravi Teja Mullapudi; Andrew Adams; Dillon Sharlet; Jonathan Ragan-Kelley; Kayvon Fatahalian (ACM Trans. Graph., 2016)

Compiling Affine Loop Nests for a Dynamic Scheduling Runtime on Shared and Distributed Memory. - Roshan Dathathri; Ravi Teja Mullapudi; Uday Bondhugula (ACM Trans. Parallel Comput., 2016)

HydraNets: Specialized Dynamic Architectures for Efficient Inference. - Ravi Teja Mullapudi; William R. Mark; Noam Shazeer; Kayvon Fatahalian (CVPR, 2018)

Online Model Distillation for Efficient Video Inference. - Ravi Teja Mullapudi; Steven Chen; Keyi Zhang; Deva Ramanan; Kayvon Fatahalian (ICCV, 2019)

Learning to Move with Affordance Maps. - William Qi; Ravi Teja Mullapudi; Saurabh Gupta 001; Deva Ramanan (ICLR, 2020)

Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. - Mayee F. Chen; Daniel Y. Fu; Frederic Sala; Sen Wu 002; Ravi Teja Mullapudi; Fait Poms; Kayvon Fatahalian; Christopher Ré (CoRR, 2020)

Background Splitting: Finding Rare Classes in a Sea of Background. - Ravi Teja Mullapudi; Fait Poms; William R. Mark; Deva Ramanan; Kayvon Fatahalian (CVPR, 2021)

Learning Rare Category Classifiers on a Tight Labeling Budget. - Ravi Teja Mullapudi; Fait Poms; William R. Mark; Deva Ramanan; Kayvon Fatahalian (ICCV, 2021)

Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. - Fait Poms; Vishnu Sarukkai; Ravi Teja Mullapudi; Nimit Sharad Sohoni; William R. Mark; Deva Ramanan; Kayvon Fatahalian (ICCV, 2021)

Dynamic Model Specialization for Efficient Inference, Training and Supervision. - Ravi Teja Mullapudi (2022)