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4 papers · 2 filters
Adaptive Text Recognition through Visual Matching
Chuhan Zhang, Ankush Gupta, Andrew Zisserman
In this work, our objective is to address the problems of generalization and flexibility for text recognition in documents. We introduce a new model that exploits the repetitive na…
Memory-augmented Dense Predictive Coding for Video Representation Learning
Tengda Han, Weidi Xie, Andrew Zisserman
The objective of this paper is self-supervised learning from video, in particular for representations for action recognition. We make the following contributions: (i) We propose a…
Deep Photometric Stereo for Non-Lambertian Surfaces
Guanying Chen, Kai Han, Boxin Shi +2
This paper addresses the problem of photometric stereo, in both calibrated and uncalibrated scenarios, for non-Lambertian surfaces based on deep learning. We first introduce a full…
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images
Zhengdong Zhang, Shuai Li, Ziyang Wang +1
As Deep Convolutional Neural Networks (DCNNs) have shown robust performance and results in medical image analysis, a number of deep-learning-based tumor detection methods were deve…