3 citations · 7 across the 5 of their papers we have counts for
5 papers
OccluRank: Controllable Occlusion-Aware Layout-to-Image Generation by Adding Just an Ordinal Rank
Wenyang Hong, Yuan Wang, Yanbin Hao +5
Layout-to-image generation enables explicit spatial control through bounding-box layouts, yet bounding boxes specify only instance locations and cannot represent their occlusion or…
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
Dongkyu Lee, Zhiliang Tian, Lanqing Xue +1
Text style transfer aims to alter the style (e.g., sentiment) of a sentence while preserving its content. A common approach is to map a given sentence to content representation tha…
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
Lanqing Xue, Kaitao Song, Duocai Wu +5
Rap generation, which aims to produce lyrics and corresponding singing beats, needs to model both rhymes and rhythms. Previous works for rap generation focused on rhyming lyrics bu…
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
Zhiliang Tian, Wei Bi, Dongkyu Lee +4
Neural conversation models are known to generate appropriate but non-informative responses in general. A scenario where informativeness can be significantly enhanced is Conversing…
Not All Attention Is Needed: Gated Attention Network for Sequence Data
Lanqing Xue, Xiaopeng Li, Nevin L. Zhang
Although deep neural networks generally have fixed network structures, the concept of dynamic mechanism has drawn more and more attention in recent years. Attention mechanisms comp…