3 papers across 3 sessions
We introduce EmoNet-Face, a suite of diverse, AI-generated facial emotion datasets with a novel 40-category taxonomy, to improve AI's ability to understand human emotions more accurately and empathetically.
We introduce IndEgo, a multimodal dataset of industrial tasks, enabling research on collaboration, task understanding, and mistake detection.
We present Neural Attention Search (NAtS), an end-to-end learnable sparse transformer