195 citations · 245 across the 15 of their papers we have counts for
15 papers
Nearest Neighbor Future Captioning: Generating Descriptions for Possible Collisions in Object Placement Tasks
Takumi Komatsu, Motonari Kambara, Shumpei Hatanaka +5
Domestic service robots (DSRs) that support people in everyday environments have been widely investigated. However, their ability to predict and describe future risks resulting fro…
Layer-Wise Relevance Propagation with Conservation Property for ResNet
Seitaro Otsuki, Tsumugi Iida, Félix Doublet +4
The transparent formulation of explanation methods is essential for elucidating the predictions of neural networks, which are typically black-box models. Layer-wise Relevance Propa…
Co-Scale Cross-Attentional Transformer for Rearrangement Target Detection
Haruka Matsuo, Shintaro Ishikawa, Komei Sugiura
Rearranging objects (e.g. vase, door) back in their original positions is one of the most fundamental skills for domestic service robots (DSRs). In rearrangement tasks, it is cruci…
Object Segmentation from Open-Vocabulary Manipulation Instructions Based on Optimal Transport Polygon Matching with Multimodal Foundation Models
Takayuki Nishimura, Katsuyuki Kuyo, Motonari Kambara +1
We consider the task of generating segmentation masks for the target object from an object manipulation instruction, which allows users to give open vocabulary instructions to dome…
Polos: Multimodal Metric Learning from Human Feedback for Image Captioning
Yuiga Wada, Kanta Kaneda, Daichi Saito +1
Establishing an automatic evaluation metric that closely aligns with human judgments is essential for effectively developing image captioning models. Recent data-driven metrics hav…
DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training
Kanta Kaneda, Ryosuke Korekata, Yuiga Wada +7
This paper focuses on the DialFRED task, which is the task of embodied instruction following in a setting where an agent can actively ask questions about the task. To address this…