4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2020★ 4 cited
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval
Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang +2
Image generation from scene description is a cornerstone technique for the controlled generation, which is beneficial to applications such as content creation and image editing. In…
cs.LG2019
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
Lu Jiang, Di Huang, Mason Liu +1
Performing controlled experiments on noisy data is essential in understanding deep learning across noise levels. Due to the lack of suitable datasets, previous research has only ex…
cs.CV2019
Let's Transfer Transformations of Shared Semantic Representations
Nam Vo, Lu Jiang, James Hays
With a good image understanding capability, can we manipulate the images high level semantic representation? Such transformation operation can be used to generate or retrieve simil…