activity
20222026
most citedTransformer Module Networks for Systematic Generalization in Visual Question Answering

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Exploratory and Assimilating Reflection: Reflective Recall Cycle for Long-term Memory

Ganesh Senrayan, Moyuru Yamada, Ishan Jindal +1

LLM-based autonomous agents require external memory to overcome their statelessness and limited context window for long-term interaction and dynamic knowledge reasoning. However, e…

cs.AI2023

D3: Data Diversity Design for Systematic Generalization in Visual Question Answering

Amir Rahimi, Vanessa D'Amario, Moyuru Yamada +3

Systematic generalization is a crucial aspect of intelligence, which refers to the ability to generalize to novel tasks by combining known subtasks and concepts. One critical facto…

cs.CV2023

HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models

Kentaro Takemoto, Moyuru Yamada, Tomotake Sasaki +1

Human-Object Interaction (HOI) detection is a task to localize humans and objects in an image and predict the interactions in human-object pairs. In real-world scenarios, HOI detec…

cs.CV2022

Detect Only What You Specify : Object Detection with Linguistic Target

Moyuru Yamada

Object detection is a computer vision task of predicting a set of bounding boxes and category labels for each object of interest in a given image. The category is related to a ling…

cs.CV2022★ 2 cited

Transformer Module Networks for Systematic Generalization in Visual Question Answering

Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto +2

Transformers achieve great performance on Visual Question Answering (VQA). However, their systematic generalization capabilities, i.e., handling novel combinations of known concept…