40 citations · 99 across the 8 of their papers we have counts for
7 papers · 1 filter
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting
Qiming Wu, Zhikang Zou, Pan Zhou +3
Crowd counting has drawn much attention due to its importance in safety-critical surveillance systems. Especially, deep neural network (DNN) methods have significantly reduced esti…
Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization
Daizong Liu, Xiaoye Qu, Xiao-Yang Liu +3
Query-based moment localization is a new task that localizes the best matched segment in an untrimmed video according to a given sentence query. In this localization task, one shou…
Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds
Zichuan Xu, Jiangkai Wu, Qiufen Xia +3
With the development of deep learning technologies, attribute recognition and person re-identification (re-ID) have attracted extensive attention and achieved continuous improvemen…
Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos
Xiaoye Qu, Pengwei Tang, Zhikang Zhou +3
Temporal language localization in videos aims to ground one video segment in an untrimmed video based on a given sentence query. To tackle this task, designing an effective model t…
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Yifan Jiang, Xinyu Gong, Ding Liu +6
Deep learning-based methods have achieved remarkable success in image restoration and enhancement, but are they still competitive when there is a lack of paired training data? As o…
MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation
Shuangjie Xu, Daizong Liu, Linchao Bao +2
We address the problem of semi-supervised video object segmentation (VOS), where the masks of objects of interests are given in the first frame of an input video. To deal with chal…