182 citations · 574 across the 46 of their papers we have counts for
8 papers · 1 filter
Unsupervised Discovery of Disentangled Manifolds in GANs
Yu-Ding Lu, Hsin-Ying Lee, Hung-Yu Tseng +1
As recent generative models can generate photo-realistic images, people seek to understand the mechanism behind the generation process. Interpretable generation process is benefici…
Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors
Qi Mao, Hung-Yu Tseng, Hsin-Ying Lee +3
Recent image-to-image (I2I) translation algorithms focus on learning the mapping from a source to a target domain. However, the continuous translation problem that synthesizes inte…
Semantic View Synthesis
Hsin-Ping Huang, Hung-Yu Tseng, Hsin-Ying Lee +1
We tackle a new problem of semantic view synthesis -- generating free-viewpoint rendering of a synthesized scene using a semantic label map as input. We build upon recent advances…
Controllable Image Synthesis via SegVAE
Yen-Chi Cheng, Hsin-Ying Lee, Min Sun +1
Flexible user controls are desirable for content creation and image editing. A semantic map is commonly used intermediate representation for conditional image generation. Compared…
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…
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
Jia-Fong Yeh, Hsin-Ying Lee, Bing-Chen Tsai +3
In recent years, few-shot learning problems have received a lot of attention. While methods in most previous works were trained and tested on datasets in one single domain, cross-d…
xCos: An Explainable Cosine Metric for Face Verification Task
Yu-Sheng Lin, Zhe-Yu Liu, Yu-An Chen +3
We study the XAI (explainable AI) on the face recognition task, particularly the face verification here. Face verification is a crucial task in recent days and it has been deployed…
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang +1
Few-shot classification aims to recognize novel categories with only few labeled images in each class. Existing metric-based few-shot classification algorithms predict categories b…