Search Results for author: Aashish Sharma

Found 6 papers, 2 papers with code

Nighttime Visibility Enhancement by Increasing the Dynamic Range and Suppression of Light Effects

no code implementations CVPR 2021 Aashish Sharma, Robby T. Tan

In this paper, given a single nighttime image as input, our goal is to enhance its visibility by increasing the dynamic range of the intensity, and thus can boost the intensity of the low light regions, and at the same time, suppress the light effects (glow, glare) simultaneously.

Estimation of Camera Response Function using Prediction Consistency and Gradual Refinement with an Extension to Deep Learning

no code implementations8 Oct 2020 Aashish Sharma, Robby T. Tan, Loong-Fah Cheong

Second, we employ a gradual refinement scheme in which we start from a simple CRF model to generate a result which is more robust to noise but less accurate, and then we gradually increase the model's complexity to improve the result.

Optical Flow in Dense Foggy Scenes using Semi-Supervised Learning

no code implementations CVPR 2020 Wending Yan, Aashish Sharma, Robby T. Tan

Initially, given a pair of synthetic fog images, its corresponding clean images and optical flow ground-truths, in one training batch we train our network in a supervised manner.

Optical Flow Estimation

Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization

no code implementations ECCV 2018 Aashish Sharma, Loong-Fah Cheong

We present a joint Structure-Stereo optimization model that is robust for disparity estimation under low-light conditions.

Denoising Depth Estimation +3

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