64 citations · 160 across the 12 of their papers we have counts for
14 papers
MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination
Shengyu Zhang, Donghui Wang, Zhou Zhao +3
In this paper, we investigate the problem of text-to-pedestrian synthesis, which has many potential applications in art, design, and video surveillance. Existing methods for text-t…
DeVLBert: Learning Deconfounded Visio-Linguistic Representations
Shengyu Zhang, Tan Jiang, Tan Wang +6
In this paper, we propose to investigate the problem of out-of-domain visio-linguistic pretraining, where the pretraining data distribution differs from that of downstream data on…
Improving Robustness and Generality of NLP Models Using Disentangled Representations
Jiawei Wu, Xiaoya Li, Xiang Ao +3
Supervised neural networks, which first map an input to a single representation , and then map to the output label , have achieved remarkable success in a wide range…
Learning a Domain Classifier Bank for Unsupervised Adaptive Object Detection
Sanli Tang, Zhanzhan Cheng, Shiliang Pu +3
In real applications, object detectors based on deep networks still face challenges of the large domain gap between the labeled training data and unlabeled testing data. To reduce…
Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement Maps
Xiaolin Zhang, Yunchao Wei, Yi Yang +1
Recently, remarkable progress has been made in weakly supervised object localization (WSOL) to promote object localization maps. The common practice of evaluating these maps applie…
Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions
Xiaoya Li, Mingxin Zhou, Jiawei Wu +3
At the time of writing, the ongoing pandemic of coronavirus disease (COVID-19) has caused severe impacts on society, economy and people's daily lives. People constantly express the…