Search Results for author: Takatsugu Hirayama

Found 4 papers, 1 papers with code

MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results

1 code implementation18 Jul 2023 Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi, Hao-Yu Hou, Mu-Yi Shen, Chia-Chi Hsu, En-Ming Huang, Yu-Chen Huang, Yu-Cheng Xia, Chien-Yao Wang, Chun-Yi Lee, Da Huo, Marc A. Kastner, TingWei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide, Yosuke Shinya, Xinyao Liu, Guang Liang, Syusuke Yasui

Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a challenging task due to the noisy, blurred, and less-informative image appearances of small objects.

Ranked #2 on Small Object Detection on SOD4SB Public Test (using extra training data)

Object object-detection +1

IPA-CLIP: Integrating Phonetic Priors into Vision and Language Pretraining

no code implementations6 Mar 2023 Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu, Takatsugu Hirayama, Keisuke Doman, Yasutomo Kawanishi, Ichiro Ide

Furthermore, in some multimodal retrieval tasks, we confirm that the proposed pronunciation encoder enhances the performance of the text encoder and that the pronunciation encoder handles nonsense words in a more phonetic manner than the text encoder.

Retrieval

Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention

no code implementations9 May 2021 Hao Cheng, Li Feng, Hailong Liu, Takatsugu Hirayama, Hiroshi Murase, Monika Sester

Intersections where vehicles are permitted to turn and interact with vulnerable road users (VRUs) like pedestrians and cyclists are among some of the most challenging locations for automated and accurate recognition of road users' behavior.

Optical Flow Estimation Self-Driving Cars

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