12 citations · 41 across the 5 of their papers we have counts for
9 papers
Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos
Shaoxiang Chen, Wenhao Jiang, Wei Liu +1
Automatically generating sentences to describe events and temporally localizing sentences in a video are two important tasks that bridge language and videos. Recent techniques leve…
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…
Deblurring by Realistic Blurring
Kaihao Zhang, Wenhan Luo, Yiran Zhong +4
Existing deep learning methods for image deblurring typically train models using pairs of sharp images and their blurred counterparts. However, synthetically blurring images do not…
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space
Camilo Pestana, Naveed Akhtar, Wei Liu +2
Deep learning offers state of the art solutions for image recognition. However, deep models are vulnerable to adversarial perturbations in images that are subtle but significantly…
Empirical Autopsy of Deep Video Captioning Frameworks
Nayyer Aafaq, Naveed Akhtar, Wei Liu +1
Contemporary deep learning based video captioning follows encoder-decoder framework. In encoder, visual features are extracted with 2D/3D Convolutional Neural Networks (CNNs) and a…
Vatex Video Captioning Challenge 2020: Multi-View Features and Hybrid Reward Strategies for Video Captioning
Xinxin Zhu, Longteng Guo, Peng Yao +3
This report describes our solution for the VATEX Captioning Challenge 2020, which requires generating descriptions for the videos in both English and Chinese languages. We identifi…