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20182020
most citedLanguage-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning

75 citations · 165 across the 10 of their papers we have counts for

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13 papers · 1 filter

cs.CV202075 cited

Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning

Weixia Zhang, Chao Ma, Qi Wu +1

The emerging vision-and-language navigation (VLN) problem aims at learning to navigate an agent to the target location in unseen photo-realistic environments according to the given…

cs.CV2020

Interpretable Neural Computation for Real-World Compositional Visual Question Answering

Ruixue Tang, Chao Ma

There are two main lines of research on visual question answering (VQA): compositional model with explicit multi-hop reasoning, and monolithic network with implicit reasoning in th…

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…