← Search

Robert Kaczmarczyk

2 accepted papers

2025

EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition

NeurIPS 2025poster

Effective human-AI interaction relies on AI's ability to accurately perceive and interpret human emotions. Current benchmarks for vision and vision-language models are severely limited, offering a narrow emotional spectrum that overlooks nuanced states (e.g., bitterness, intoxication) and fails to d…

Cited by 0SourceScholar
2022

LAION-5B: An open large-scale dataset for training next generation image-text models

NeurIPS 2022accept

Groundbreaking language-vision architectures like CLIP and DALL-E proved the utility of training on large amounts of noisy image-text data, without relying on expensive accurate labels used in standard vision unimodal supervised learning. The resulting models showed capabilities of strong text-guide…