Chittesh Thavamani

2 accepted papers

2023

Learning To Zoom and Unzoom

Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan

CVPR 2023poster

Many perception systems in mobile computing, autonomous navigation, and AR/VR face strict compute constraints that are particularly challenging for high-resolution input images. Previous works propose nonuniform downsamplers that "learn to zoom" on salient image regions, reducing compute while retai…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗

2021

FOVEA: Foveated Image Magnification for Autonomous Navigation

Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan

ICCV 2021poster

Efficient processing of high-resolution video streams is safety-critical for many robotics applications such as autonomous driving. Image downsampling is a commonly adopted technique to ensure the latency constraint is met. However, this naive approach greatly restricts an object detector's capabili…

Cited by 40 PDF ↗code ↗Scholar ↗