output
20022026
most citedFitNets: Hints for Thin Deep Nets

2k citations

Showing 2021Show all

8 papers · 1 filter

cs.CV2021★ 5 cited

EKTVQA: Generalized use of External Knowledge to empower Scene Text in Text-VQA

Arka Ujjal Dey, Ernest Valveny, Gaurav Harit

The open-ended question answering task of Text-VQA often requires reading and reasoning about rarely seen or completely unseen scene-text content of an image. We address this zero-…

cs.CV2021★ 7 cited

Saliency for free: Saliency prediction as a side-effect of object recognition

Carola Figueroa-Flores, David Berga, Joost van der Weijer +1

Saliency is the perceptual capacity of our visual system to focus our attention (i.e. gaze) on relevant objects. Neural networks for saliency estimation require ground truth salien…

cs.CV2021★ 4 cited

ChaLearn Looking at People: Inpainting and Denoising challenges

Sergio Escalera, Marti Soler, Stephane Ayache +6

Dealing with incomplete information is a well studied problem in the context of machine learning and computational intelligence. However, in the context of computer vision, the pro…

cs.CV2021★ 10 cited

Deep unsupervised 3D human body reconstruction from a sparse set of landmarks

Meysam Madadi, Hugo Bertiche, Sergio Escalera

In this paper we propose the first deep unsupervised approach in human body reconstruction to estimate body surface from a sparse set of landmarks, so called DeepMurf. We apply a d…

cs.GR2021★ 24 cited

Real-Time Denoising of Volumetric Path Tracing for Direct Volume Rendering

Jose A. Iglesias-Guitian, Prajita Mane, Bochang Moon

Direct Volume Rendering (DVR) using Volumetric Path Tracing (VPT) is a scientific visualization technique that simulates light transport with objects' matter using physically-based…

cs.IR2021★ 22 cited

Document Collection Visual Question Answering

Rubèn Tito, Dimosthenis Karatzas, Ernest Valveny

Current tasks and methods in Document Understanding aims to process documents as single elements. However, documents are usually organized in collections (historical records, purch…