- Learning effective RGB-D representations for scene recognition
- Image-to-image translation for cross-domain disentanglement
- Domain-adaptive deep network compression
- Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
- Mix and match networks: encoder-decoder alignment for zero-pair image translation
- Memory Replay GANs: learning to generate images from new categories without forgetting