activity
20172020
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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Showing 2020 · cs.CVShow all

7 papers · 2 filters

cs.CV2020★ 75 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.CV2020★ 6 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.CV2020★ 2 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.CV2020★ 7 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.CV2020★ 10 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…