17 citations · 31 across the 12 of their papers we have counts for
22 papers · 1 filter
Medical-Checklist: Assessing the Comprehension of Medical Images by Multimodal Models
Bannapol Limanond, Masanori Suganuma, Takayuki Okatani
This paper introduces a new benchmark test, Medical-Checklist, for assessing medical multimodal models. The recent advancements in multimodal models have demonstrated significant p…
Inverting the Generation Process of Denoising Diffusion Implicit Models: Empirical Evaluation and a Novel Method
Yan Zeng, Masanori Suganuma, Takayuki Okatani
This paper studies the problem of inverting the DDIM image generation process to recover latent variables, particularly the initial noise map, from a generated image. Existing meth…
MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval
Naoya Sogi, Takashi Shibata, Makoto Terao +2
Result diversification (RD) is a crucial technique in Text-to-Image Retrieval for enhancing the efficiency of a practical application. Conventional methods focus solely on increasi…
TB-Bench: Training and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/Videos
Korawat Charoenpitaks, Van-Quang Nguyen, Masanori Suganuma +4
The application of Multi-modal Large Language Models (MLLMs) in Autonomous Driving (AD) faces significant challenges due to their limited training on traffic-specific data and the…
Rethinking Annotation for Object Detection: Is Annotating Small-size Instances Worth Its Cost?
Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani
Detecting objects occupying only small areas in an image is difficult, even for humans. Therefore, annotating small-size object instances is hard and thus costly. This study questi…
Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images
Xiangyong Lu, Masanori Suganuma, Takayuki Okatani
In real-world applications of image recognition tasks, such as human pose estimation, cameras often capture objects, like human bodies, at low resolutions. This scenario poses a ch…