most citedSemantic Equivalent Adversarial Data Augmentation for Visual Question Answering

10 citations · 28 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV20206 cited

Rethinking Image Deraining via Rain Streaks and Vapors

Yinglong Wang, Yibing Song, Chao Ma +1

Single image deraining regards an input image as a fusion of a background image, a transmission map, rain streaks, and atmosphere light. While advanced models are proposed for imag…

cs.CV20202 cited

Robust Tracking against Adversarial Attacks

Shuai Jia, Chao Ma, Yibing Song +1

While deep convolutional neural networks (CNNs) are vulnerable to adversarial attacks, considerably few efforts have been paid to construct robust deep tracking algorithms against…

cs.CV20207 cited

Unsupervised Deep Representation Learning for Real-Time Tracking

Ning Wang, Wengang Zhou, Yibing Song +3

The advancement of visual tracking has continuously been brought by deep learning models. Typically, supervised learning is employed to train these models with expensive labeled da…

cs.CV202010 cited

Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering

Ruixue Tang, Chao Ma, Wei Emma Zhang +2

Visual Question Answering (VQA) has achieved great success thanks to the fast development of deep neural networks (DNN). On the other hand, the data augmentation, as one of the maj…

cs.CV20203 cited

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks

Xiankai Lu, Wenguan Wang, Chao Ma +3

We introduce a novel network, called CO-attention Siamese Network (COSNet), to address the unsupervised video object segmentation task from a holistic view. We emphasize the import…

cs.CV2019

Deep Image Deraining Via Intrinsic Rainy Image Priors and Multi-scale Auxiliary Decoding

Yinglong Wang, Chao Ma, Bing Zeng

Different rain models and novel network structures have been proposed to remove rain streaks from single rainy images. In this work, we bring attention to the intrinsic priors and…