4 papers
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation
Yuan-Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang
Few-shot semantic segmentation addresses the learning task in which only few images with ground truth pixel-level labels are available for the novel classes of interest. One is typ…
Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis
Fu-En Yang, Jing-Cheng Chang, Yuan-Hao Lee +1
Generating videos with content and motion variations is a challenging task in computer vision. While the recent development of GAN allows video generation from latent representatio…
Semantics-Guided Representation Learning with Applications to Visual Synthesis
Jia-Wei Yan, Ci-Siang Lin, Fu-En Yang +2
Learning interpretable and interpolatable latent representations has been an emerging research direction, allowing researchers to understand and utilize the derived latent space fo…
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification
Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu +3
Person re-identification (Re-ID) aims at recognizing the same person from images taken across different cameras. To address this task, one typically requires a large amount labeled…