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20182026
most citedDRIT++: Diverse Image-to-Image Translation via Disentangled Representations

182 citations · 472 across the 28 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 25 cited

Progressive Domain Adaptation for Object Detection

Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai +4

Recent deep learning methods for object detection rely on a large amount of bounding box annotations. Collecting these annotations is laborious and costly, yet supervised models do…

cs.SD2019★ 3 cited

Self-supervised Audio Spatialization with Correspondence Classifier

Yu-Ding Lu, Hsin-Ying Lee, Hung-Yu Tseng +1

Spatial audio is an essential medium to audiences for 3D visual and auditory experience. However, the recording devices and techniques are expensive or inaccessible to the general…

cs.CV2019★ 9 cited

Few-Shot Viewpoint Estimation

Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay +4

Viewpoint estimation for known categories of objects has been improved significantly thanks to deep networks and large datasets, but generalization to unknown categories is still v…

cs.CV2019★ 182 cited

DRIT++: Diverse Image-to-Image Translation via Disentangled Representations

Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao +4

Image-to-image translation aims to learn the mapping between two visual domains. There are two main challenges for this task: 1) lack of aligned training pairs and 2) multiple poss…

cs.CV2019★ 36 cited

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng +2

Most conditional generation tasks expect diverse outputs given a single conditional context. However, conditional generative adversarial networks (cGANs) often focus on the prior c…