Future Transformer for Long-term Action Anticipation

Self-Taught Metric Learning without Labels

Fast Point Transformer

Integrative Few-Shot Learning for Classification and Segmentation

Scene Painting via Semantic Image Synthesis

Detector-Free Weakly Supervised Group Activity Recognition

Deep Point Cloud Reconstruction

On Evaluation Metrics for Graph Generative Models

On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization

Semi-Supervised Domain Adaptation via Sample-to-Sample Self-Distillation