2 citations · 5 across the 3 of their papers we have counts for
3 papers
Robust Text-driven Image Editing Method that Adaptively Explores Directions in Latent Spaces of StyleGAN and CLIP
Tsuyoshi Baba, Kosuke Nishida, Kyosuke Nishida
Automatic image editing has great demands because of its numerous applications, and the use of natural language instructions is essential to achieving flexible and intuitive editin…
SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images
Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida +3
Visual question answering on document images that contain textual, visual, and layout information, called document VQA, has received much attention recently. Although many datasets…
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions
Kosuke Nishida, Kyosuke Nishida, Shuichi Nishioka
Humans can obtain the knowledge of novel visual concepts from language descriptions, and we thus use the few-shot image classification task to investigate whether a machine learnin…