51 citations · 73 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 12 cited
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
Xin Wang, Fisher Yu, Ruth Wang +2
Learning good feature embeddings for images often requires substantial training data. As a consequence, in settings where training data is limited (e.g., few-shot and zero-shot lea…
cs.CV2018★ 10 cited
Disentangling Propagation and Generation for Video Prediction
Hang Gao, Huazhe Xu, Qi-Zhi Cai +3
A dynamic scene has two types of elements: those that move fluidly and can be predicted from previous frames, and those which are disoccluded (exposed) and cannot be extrapolated.…
cs.CV2018★ 51 cited
Deep Mixture of Experts via Shallow Embedding
Xin Wang, Fisher Yu, Lisa Dunlap +5
Larger networks generally have greater representational power at the cost of increased computational complexity. Sparsifying such networks has been an active area of research but h…