Naoya Sogi — accepted AI-conference papers

2025

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, Masanori Suganuma, Takayuki Okatani

IJCAI 2025

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 increasing the diversity metric of image appearances. However, the diversity metric and its desired value vary depending on the

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2020

Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints

Shin-Fang Ch’ng, Naoya Sogi, Pulak Purkait, Tat-Jun Chin, Kazuhiro Fukui

ICRA 2020poster

Planar markers are useful in robotics and computer vision for mapping and localisation. Given a detected marker in an image, a frequent task is to estimate the 6DOF pose of the marker relative to the camera, which is an instance of planar pose estimation (PPE). Although there are mature techniques,…

Cited by 16 Source ↗Scholar ↗