no code implementations • 13 Oct 2023 • Pranay Manocha, Donald Williamson, Adam Finkelstein
In contrast, no-reference (NR) metrics evaluate a recording without relying on a reference.
no code implementations • 27 Jun 2022 • Pranay Manocha, Zeyu Jin, Adam Finkelstein
Many audio processing tasks require perceptual assessment.
1 code implementation • 9 Feb 2021 • Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein
The DPAM approach of Manocha et al. learns a full-reference metric trained directly on human judgments, and thus correlates well with human perception.
no code implementations • 8 Feb 2021 • Yuting Yang, Connelly Barnes, Adam Finkelstein
We investigate this learning task for a variety of applications: our model can learn to predict a low-noise output image from shader programs that exhibit sampling noise; this model can also learn from a simplified shader program that approximates the reference solution with less computation, as well as learn the output of postprocessing filters like defocus blur and edge-aware sharpening.
1 code implementation • 10 Jun 2020 • Jiaqi Su, Zeyu Jin, Adam Finkelstein
Real-world audio recordings are often degraded by factors such as noise, reverberation, and equalization distortion.
1 code implementation • 13 Jan 2020 • Pranay Manocha, Adam Finkelstein, Zeyu Jin, Nicholas J. Bryan, Richard Zhang, Gautham J. Mysore
Assessment of many audio processing tasks relies on subjective evaluation which is time-consuming and expensive.
1 code implementation • 4 Jun 2019 • Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala
To edit a video, the user has to only edit the transcript, and an optimization strategy then chooses segments of the input corpus as base material.
no code implementations • ICASSP 2019 • Jiaqi Su, Adam Finkelstein, Zeyu Jin
This paper introduces a deep learning approach to enhance speech recordings made in a specific environment.
no code implementations • CVPR 2018 • Huiwen Chang, Jingwan Lu, Fisher Yu, Adam Finkelstein
This paper introduces an automatic method for editing a portrait photo so that the subject appears to be wearing makeup in the style of another person in a reference photo.
no code implementations • 29 Oct 2017 • Linguang Zhang, Adam Finkelstein, Szymon Rusinkiewicz
We introduce an image-based global localization system that is accurate to a few millimeters and performs reliable localization both indoors and outside.
no code implementations • CVPR 2015 • Ohad Fried, Eli Shechtman, Dan B. Goldman, Adam Finkelstein
We propose a new computer vision task we call "distractor prediction."
1 code implementation • 25 Apr 2015 • Pingmei Xu, Krista A. Ehinger, yinda zhang, Adam Finkelstein, Sanjeev R. Kulkarni, Jianxiong Xiao
Traditional eye tracking requires specialized hardware, which means collecting gaze data from many observers is expensive, tedious and slow.