72 citations · 111 across the 11 of their papers we have counts for
11 papers
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack
Jie Ning, Jiebao Sun, Yao Li +2
Deep neural networks (DNNs) have shown superior performance comparing to traditional image denoising algorithms. However, DNNs are inevitably vulnerable while facing adversarial at…
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images
Yi Cui, Yao Li, Jayson R. Miedema +3
Automated region of interest detection in histopathological image analysis is a challenging and important topic with tremendous potential impact on clinical practice. The deep-lear…
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting
Xiaomeng Chu, Jiajun Deng, Yao Li +4
As cameras are increasingly deployed in new application domains such as autonomous driving, performing 3D object detection on monocular images becomes an important task for visual…
Deep Descriptor Transforming for Image Co-Localization
Xiu-Shen Wei, Chen-Lin Zhang, Yao Li +4
Reusable model design becomes desirable with the rapid expansion of machine learning applications. In this paper, we focus on the reusability of pre-trained deep convolutional mode…
Sequential Person Recognition in Photo Albums with a Recurrent Network
Yao Li, Guosheng Lin, Bohan Zhuang +3
Recognizing the identities of people in everyday photos is still a very challenging problem for machine vision, due to non-frontal faces, changes in clothing, location, lighting an…
Attend in groups: a weakly-supervised deep learning framework for learning from web data
Bohan Zhuang, Lingqiao Liu, Yao Li +2
Large-scale datasets have driven the rapid development of deep neural networks for visual recognition. However, annotating a massive dataset is expensive and time-consuming. Web im…
Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution
Yao Li, Linqiao Liu, Chunhua Shen +1
Given a set of images containing objects from the same category, the task of image co-localization is to identify and localize each instance. This paper shows that this problem can…
Mining Mid-level Visual Patterns with Deep CNN Activations
Yao Li, Lingqiao Liu, Chunhua Shen +1
The purpose of mid-level visual element discovery is to find clusters of image patches that are both representative and discriminative. Here we study this problem from the prospect…
Mid-level Deep Pattern Mining
Yao Li, Lingqiao Liu, Chunhua Shen +1
Mid-level visual element discovery aims to find clusters of image patches that are both representative and discriminative. In this work, we study this problem from the prospective…
Contextual Hypergraph Modelling for Salient Object Detection
Xi Li, Yao Li, Chunhua Shen +2
Salient object detection aims to locate objects that capture human attention within images. Previous approaches often pose this as a problem of image contrast analysis. In this wor…
Characterness: An Indicator of Text in the Wild
Yao Li, Wenjing Jia, Chunhua Shen +1
Text in an image provides vital information for interpreting its contents, and text in a scene can aide with a variety of tasks from navigation, to obstacle avoidance, and odometry…