• Publications
  • Influence
R-FCN: Object Detection via Region-based Fully Convolutional Networks
TLDR
This work presents region-based, fully convolutional networks for accurate and efficient object detection, and proposes position-sensitive score maps to address a dilemma between translation-invariance in image classification and translation-variance in object detection. Expand
Deformable Convolutional Networks
TLDR
This work introduces two new modules to enhance the transformation modeling capability of CNNs, namely, deformable convolution and deformable RoI pooling, based on the idea of augmenting the spatial sampling locations in the modules with additional offsets and learning the offsets from the target tasks, without additional supervision. Expand
Convolutional Neural Networks for No-Reference Image Quality Assessment
TLDR
A Convolutional Neural Network is described to accurately predict image quality without a reference image to achieve state of the art performance on the LIVE dataset and shows excellent generalization ability in cross dataset experiments. Expand
Fully Convolutional Instance-Aware Semantic Segmentation
TLDR
The first fully convolutional end-to-end solution for instance-aware semantic segmentation task, which achieves state-of-the-art performance in both accuracy and efficiency, wins the COCO 2016 segmentation competition by a large margin. Expand
Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model
TLDR
This paper develops two new extensions to the sparse logistic regression model which allow quick and accurate spoof detection and proposes two strategies to extract the essential information about different surface properties of a live human face or a photograph, in terms of latent samples. Expand
COOLCAT: an entropy-based algorithm for categorical clustering
TLDR
The connection between clustering categorical data and entropy is explored: clusters of similar poi lower entropy than those of dissimilar ones, and an incremental heuristic algorithm, COOLCAT, which is capable of efficiently clustering large data sets of records with categorical attributes, and data streams. Expand
DeepIM: Deep Iterative Matching for 6D Pose Estimation
TLDR
A novel deep neural network for 6D pose matching named DeepIM is proposed that is able to iteratively refine the pose by matching the rendered image against the observed image. Expand
RiMOM: A Dynamic Multistrategy Ontology Alignment Framework
TLDR
This paper presents a dynamic multistrategy ontology alignment framework, named RiMOM, and proposes a systematic approach to quantitatively estimate the similarity characteristics for each alignment task and a strategy selection method to automatically combine the matching strategies based on two estimated factors. Expand
MIXED MATRIX MEMBRANES (MMMS) COMPRISING ORGANIC POLYMERS WITH DISPERSED INORGANIC FILLERS FOR GAS SEPARATION
Abstract Gas separation by selective transport through polymeric membranes is one of the fastest growing branches of membrane technology. However, the existing polymeric membrane materials areExpand
Higher plant glycosyltransferases
TLDR
A phylogenetic analysis of the conserved amino acids encoded by these Arabidopsis genes reveals the presence of 14 distinct groups of UGTs, providing a foundation for further analysis of this large enzyme superfamily as well as a platform for future biotechnological applications. Expand
...
1
2
3
4
5
...