5 citations · 7 across the 8 of their papers we have counts for
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cs.CV2022
Learning by Asking Questions for Knowledge-based Novel Object Recognition
Kohei Uehara, Tatsuya Harada
In real-world object recognition, there are numerous object classes to be recognized. Conventional image recognition based on supervised learning can only recognize object classes…
cs.CV2022
K-VQG: Knowledge-aware Visual Question Generation for Common-sense Acquisition
Kohei Uehara, Tatsuya Harada
Visual Question Generation (VQG) is a task to generate questions from images. When humans ask questions about an image, their goal is often to acquire some new knowledge. However,…
cs.CV2022★ 5 cited
ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer
Kohei Uehara, Yusuke Mori, Yusuke Mukuta +1
Image narrative generation is a task to create a story from an image with a subjective viewpoint. Given the importance of the subjective feelings of writers, readers, and character…