Bi-directional Object-context Prioritization Learning for Saliency Ranking

1 code implementation • CVPR 2022 • Xin Tian, Ke Xu, Xin Yang, Lin Du, BaoCai Yin, Rynson W. H. Lau

We observe that spatial attention works concurrently with object-based attention in the human visual recognition system.

Object Saliency Ranking

Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

1 code implementation • ICCV 2021 • Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian

This observation leads to more explanations of the CNN's generalization behaviors in both robustness to common perturbations and out-of-distribution detection, and motivates a new perspective on data augmentation designed by re-combing the phase spectrum of the current image and the amplitude spectrum of the distracter image.

Adversarial Attack Data Augmentation +2

Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer

1 code implementation • 6 May 2021 • Wenqi Zhao, Liangcai Gao, Zuoyu Yan, Shuai Peng, Lin Du, Ziyin Zhang

Encoder-decoder models have made great progress on handwritten mathematical expression recognition recently.

Data Augmentation Language Modelling

Dynamic Rank Factor Model for Text Streams

no code implementations • NeurIPS 2014 • Shaobo Han, Lin Du, Esther Salazar, Lawrence Carin

We propose a semi-parametric and dynamic rank factor model for topic modeling, capable of (1) discovering topic prevalence over time, and (2) learning contemporary multi-scale dependence structures, providing topic and word correlations as a byproduct.