activity
20172022
most citedSemantic Object Accuracy for Generative Text-to-Image Synthesis

159 citations · 235 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 3 cited

Detection of Furigana Text in Images

Nikolaj Kjøller Bjerregaard, Veronika Cheplygina, Stefan Heinrich

Furigana are pronunciation notes used in Japanese writing. Being able to detect these can help improve optical character recognition (OCR) performance or make more accurate digital…

cs.NE2020★ 21 cited

Crossmodal Language Grounding in an Embodied Neurocognitive Model

Stefan Heinrich, Yuan Yao, Tobias Hinz +5

Human infants are able to acquire natural language seemingly easily at an early age. Their language learning seems to occur simultaneously with learning other cognitive functions a…

cs.CV2019★ 159 cited

Semantic Object Accuracy for Generative Text-to-Image Synthesis

Tobias Hinz, Stefan Heinrich, Stefan Wermter

Generative adversarial networks conditioned on textual image descriptions are capable of generating realistic-looking images. However, current methods still struggle to generate im…

cs.CV2019★ 30 cited

Generating Multiple Objects at Spatially Distinct Locations

Tobias Hinz, Stefan Heinrich, Stefan Wermter

Recent improvements to Generative Adversarial Networks (GANs) have made it possible to generate realistic images in high resolution based on natural language descriptions such as i…

cs.CL2017★ 22 cited

Interactive Natural Language Acquisition in a Multi-modal Recurrent Neural Architecture

Stefan Heinrich, Stefan Wermter

For the complex human brain that enables us to communicate in natural language, we gathered good understandings of principles underlying language acquisition and processing, knowle…