16 citations · 31 across the 5 of their papers we have counts for
5 papers
Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild
Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla +2
We propose a trainable Image Signal Processing (ISP) framework that produces DSLR quality images given RAW images captured by a smartphone. To address the color misalignments betwe…
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Grigory Malivenko, David Plowman +35
Depth estimation is an important computer vision problem with many practical applications to mobile devices. While many solutions have been proposed for this task, they are usually…
Zero-Pair Image to Image Translation using Domain Conditional Normalization
Samarth Shukla, Andrés Romero, Luc Van Gool +1
In this paper, we propose an approach based on domain conditional normalization (DCN) for zero-pair image-to-image translation, i.e., translating between two domains which have no…
Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation
Samarth Shukla, Luc Van Gool, Radu Timofte
Recent advances in generative models and adversarial training have led to a flourishing image-to-image (I2I) translation literature. The current I2I translation approaches require…
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
Mark Pfeiffer, Samarth Shukla, Matteo Turchetta +4
This work presents a case study of a learning-based approach for target driven map-less navigation. The underlying navigation model is an end-to-end neural network which is trained…