80 citations · 174 across the 16 of their papers we have counts for
9 papers · 1 filter
GLSFormer: Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos
Nisarg A. Shah, Shameema Sikder, S. Swaroop Vedula +1
Automated surgical step recognition is an important task that can significantly improve patient safety and decision-making during surgeries. Existing state-of-the-art methods for s…
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting
Sauradip Nag, Nisarg Shah, Anran Qi +1
In this paper we present a novel self-supervised method to anticipate the depth estimate for a future, unobserved real-world urban scene. This work is the first to explore self-sup…
Towards Device Efficient Conditional Image Generation
Nisarg A. Shah, Gaurav Bharaj
We present a novel algorithm to reduce tensor compute required by a conditional image generation autoencoder without sacrificing quality of photo-realistic image generation. Our me…
Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding
Sourya Dipta Das, Saikat Dutta, Nisarg A. Shah +2
Convolutional Neural Network models have successfully detected retinal illness from optical coherence tomography (OCT) and fundus images. These CNN models frequently rely on vast a…
MSR-Net: Multi-Scale Relighting Network for One-to-One Relighting
Sourya Dipta Das, Nisarg A. Shah, Saikat Dutta
Deep image relighting allows photo enhancement by illumination-specific retouching without human effort and so it is getting much interest lately. Most of the existing popular meth…
Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering from a Single Image
Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah +1
The Bokeh Effect is one of the most desirable effects in photography for rendering artistic and aesthetic photos. Usually, it requires a DSLR camera with different aperture and shu…
DSRN: an Efficient Deep Network for Image Relighting
Sourya Dipta Das, Nisarg A. Shah, Saikat Dutta +1
Custom and natural lighting conditions can be emulated in images of the scene during post-editing. Extraordinary capabilities of the deep learning framework can be utilized for suc…
AIM 2020: Scene Relighting and Illumination Estimation Challenge
Majed El Helou, Ruofan Zhou, Sabine Süsstrunk +34
We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different propos…
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…