Yangxiaokang Liu — accepted AI-conference papers

2021

DART: Open-Domain Structured Data Record to Text Generation

Linyong Nan, Dragomir Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh +18

NAACL 2021long

We present DART, an open domain structured DAta Record to Text generation dataset with over 82k instances (DARTs). Data-to-text annotations can be a costly process, especially when dealing with tables which are the major source of structured data and contain nontrivial structures. To this end, we pr…

Cited by 200 Source ↗PDF ↗code ↗Scholar ↗

2019

Make a Face: Towards Arbitrary High Fidelity Face Manipulation

Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen +2

ICCV 2019poster

Recent studies have shown remarkable success in face manipulation task with the advance of GANs and VAEs paradigms, but the outputs are sometimes limited to low-resolution and lack of diversity. In this work, we propose Additive Focal Variational Auto-encoder (AF-VAE), a novel approach that can arbi…

Cited by 86 PDF ↗Scholar ↗