10 citations · 19 across the 11 of their papers we have counts for
11 papers
Left-Right Symmetry Breaking in CLIP-style Vision-Language Models Trained on Synthetic Spatial-Relation Data
Takaki Yamamoto, Chihiro Noguchi, Toshihiro Tanizawa
Spatial understanding remains a key challenge in vision-language models. Yet it is still unclear whether such understanding is truly acquired, and if so, through what mechanisms. W…
Pseudo-Expert Regularized Offline RL for End-to-End Autonomous Driving in Photorealistic Closed-Loop Environments
Chihiro Noguchi, Takaki Yamamoto
End-to-end (E2E) autonomous driving models that take only camera images as input and directly predict a future trajectory are appealing for their computational efficiency and poten…
From Binary to Semantic: Utilizing Large-Scale Binary Occupancy Data for 3D Semantic Occupancy Prediction
Chihiro Noguchi, Takaki Yamamoto
Accurate perception of the surrounding environment is essential for safe autonomous driving. 3D occupancy prediction, which estimates detailed 3D structures of roads, buildings, an…
Text Image Generation for Low-Resource Languages with Dual Translation Learning
Chihiro Noguchi, Shun Fukuda, Shoichiro Mihara +1
Scene text recognition in low-resource languages frequently faces challenges due to the limited availability of training datasets derived from real-world scenes. This study propose…
Road Obstacle Detection based on Unknown Objectness Scores
Chihiro Noguchi, Toshiaki Ohgushi, Masao Yamanaka
The detection of unknown traffic obstacles is vital to ensure safe autonomous driving. The standard object-detection methods cannot identify unknown objects that are not included u…
Scene Text Image Super-resolution based on Text-conditional Diffusion Models
Chihiro Noguchi, Shun Fukuda, Masao Yamanaka
Scene Text Image Super-resolution (STISR) has recently achieved great success as a preprocessing method for scene text recognition. STISR aims to transform blurred and noisy low-re…
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning
Chihiro Noguchi, Toshihiro Tanizawa
In recent years, many automobiles have been equipped with cameras, which have accumulated an enormous amount of video footage of driving scenes. Autonomous driving demands the high…
Palette diagram: A Python package for visualization of collective categorical data
Chihiro Noguchi, Tatsuro Kawamoto
Categorical data, wherein a numerical quantity is assigned to each category (nominal variable), are ubiquitous in data science. A palette diagram is a visualization tool for a larg…
Fragility of spectral clustering for networks with an overlapping structure
Chihiro Noguchi, Tatsuro Kawamoto
Communities commonly overlap in real-world networks. This is a motivation to develop overlapping community detection methods, because methods for non-overlapping communities may no…
Approximate matrix completion based on cavity method
Chihiro Noguchi, Yoshiyuki Kabashima
In order to solve large matrix completion problems with practical computational cost, an approximate approach based on matrix factorization has been widely used. Alternating least…
Evaluating network partitions through visualization
Chihiro Noguchi, Tatsuro Kawamoto
Network clustering requires making many decisions manually, such as the number of groups and a statistical model to be used. Even after filtering using an information criterion or…