output
20192026
most citedTransformers in Vision: A Survey

3.6k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 6 cited

Question-Agnostic Attention for Visual Question Answering

Moshiur R Farazi, Salman H Khan, Nick Barnes

Visual Question Answering (VQA) models employ attention mechanisms to discover image locations that are most relevant for answering a specific question. For this purpose, several m…

cs.CV2019★ 192 cited

Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image

Jun Xu, Yuan Huang, Ming-Ming Cheng +4

Supervised deep networks have achieved promisingperformance on image denoising, by learning image priors andnoise statistics on plenty pairs of noisy and clean images. Unsupervised…

cs.CV2019★ 94 cited

NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising

Yingkun Hou, Jun Xu, Mingxia Liu +4

Non-local self similarity (NSS) is a powerful prior of natural images for image denoising. Most of existing denoising methods employ similar patches, which is a patch-level NSS pri…

cs.CV2019★ 317 cited

STAR: A Structure and Texture Aware Retinex Model

Jun Xu, Yingkun Hou, Dongwei Ren +5

Retinex theory is developed mainly to decompose an image into the illumination and reflectance components by analyzing local image derivatives. In this theory, larger derivatives a…

cs.CV2019★ 133 cited

Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting

Shengcai Liao, Ling Shao

For person re-identification, existing deep networks often focus on representation learning. However, without transfer learning, the learned model is fixed as is, which is not adap…