25 citations · 43 across the 20 of their papers we have counts for
13 papers · 1 filter
Hand Visibility Detector: Per-Keypoint Visibility Estimation for Hands
Ryosei Hara, Masashi Hatano, Rintaro Yanagi +3
Hand Pose Estimation (HPE) is a fundamental technology for various applications such as AR/VR and robotics. In these applications, the visibility of each hand joint in the image is…
Towards Safer Mobile Agents: Scalable Generation and Evaluation of Diverse Scenarios for VLMs
Takara Taniguchi, Kuniaki Saito, Atsushi Hashimoto
Vision Language Models (VLMs) are increasingly deployed in autonomous vehicles and mobile systems, making it crucial to evaluate their ability to support safer decision-making in c…
Evaluating the Capability of Video Question Generation for Expert Knowledge Elicitation
Huaying Zhang, Atsushi Hashimoto, Tosho Hirasawa
Skilled human interviewers can extract valuable information from experts. This raises a fundamental question: what makes some questions more effective than others? To address this,…
SciPostGen: Bridging the Gap between Scientific Papers and Poster Layouts
Shun Inadumi, Shohei Tanaka, Tosho Hirasawa +3
As the number of scientific papers continues to grow, there is a demand for approaches that can effectively convey research findings, with posters serving as a key medium for prese…
SciPostLayoutTree: A Dataset for Structural Analysis of Scientific Posters
Shohei Tanaka, Atsushi Hashimoto, Yoshitaka Ushiku
Scientific posters play a vital role in academic communication by presenting ideas through visual summaries. Analyzing reading order and parent-child relations of posters is essent…
CaptionSmiths: Flexibly Controlling Language Pattern in Image Captioning
Kuniaki Saito, Donghyun Kim, Kwanyong Park +2
An image captioning model flexibly switching its language pattern, e.g., descriptiveness and length, should be useful since it can be applied to diverse applications. However, desp…
COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language Benchmark
Koki Maeda, Tosho Hirasawa, Atsushi Hashimoto +4
Procedural video understanding is gaining attention in the vision and language community. Deep learning-based video analysis requires extensive data. Consequently, existing works o…
Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos
Takehiko Ohkawa, Takuma Yagi, Taichi Nishimura +4
We propose a novel benchmark for cross-view knowledge transfer of dense video captioning, adapting models from web instructional videos with exocentric views to an egocentric view.…
A Critical Look at the Current Usage of Foundation Model for Dense Recognition Task
Shiqi Yang, Atsushi Hashimoto, Yoshitaka Ushiku
In recent years large model trained on huge amount of cross-modality data, which is usually be termed as foundation model, achieves conspicuous accomplishment in many fields, such…
Noisy Universal Domain Adaptation via Divergence Optimization for Visual Recognition
Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku
To transfer the knowledge learned from a labeled source domain to an unlabeled target domain, many studies have worked on universal domain adaptation (UniDA), where there is no con…
3D Point Cloud Registration with Learning-based Matching Algorithm
Rintaro Yanagi, Atsushi Hashimoto, Shusaku Sone +3
We present a novel differential matching algorithm for 3D point cloud registration. Instead of only optimizing the feature extractor for a matching algorithm, we propose a learning…
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation
Takehiko Ohkawa, Takuma Yagi, Atsushi Hashimoto +2
Hand segmentation is a crucial task in first-person vision. Since first-person images exhibit strong bias in appearance among different environments, adapting a pre-trained segment…
Divergence Optimization for Noisy Universal Domain Adaptation
Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku
Universal domain adaptation (UniDA) has been proposed to transfer knowledge learned from a label-rich source domain to a label-scarce target domain without any constraints on the l…