no code implementations • CVPR 2023 • Jialiang Wang, Daniel Scharstein, Akash Bapat, Kevin Blackburn-Matzen, Matthew Yu, Jonathan Lehman, Suhib Alsisan, Yanghan Wang, Sam Tsai, Jan-Michael Frahm, Zijian He, Peter Vajda, Michael F. Cohen, Matt Uyttendaele
We present the design of a productionized end-to-end stereo depth sensing system that does pre-processing, online stereo rectification, and stereo depth estimation with a fallback to monocular depth estimation when rectification is unreliable.
1 code implementation • 26 Jun 2019 • Marc Eder, True Price, Thanh Vu, Akash Bapat, Jan-Michael Frahm
We present a versatile formulation of the convolution operation that we term a "mapped convolution."
no code implementations • CVPR 2018 • Akash Bapat, True Price, Jan-Michael Frahm
In this paper, we introduce a novel multi-camera tracking approach that for the first time jointly leverages the information introduced by rolling shutter and radial distortion as a feature to achieve superior performance with respect to high-frequency camera pose estimation.
no code implementations • CVPR 2019 • Akash Bapat, Jan-Michael Frahm
We present a framework for edge-aware optimization that is an order of magnitude faster than the state of the art while having comparable performance.