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Shuichi Akizuki

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

13

Venues

9

Active years

2013–2023

Best venue rank

A*

Where they publish

Papers

13 indexed papers, newest first.

YearVenueTitleAuthors
2023ISVCReliable Matching by Combining Optimal Color and Intensity Information Based on Relationships Between Target and Surrounding Objects.Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto
2022ICIPConvolutional Neural Tree for Video-Based Facial Expression Recognition Embedding Emotion Wheel as Inductive Bias.Ryo Miyoshi, Shuichi Akizuki, Kensuke Tobitani, Noriko Nagata, Manabu Hashimoto
2021BMVCASM-Net: Category-level Pose and Shape Estimation Using Parametric Deformation.Shuichi Akizuki, Manabu Hashimoto
2019MVAHuman-Object Maps for Daily Activity Recognition.Haruya Ishikawa, Yuchi Ishikawa, Shuichi Akizuki, Yoshimitsu Aoki
2018BMVCTactile Logging for Understanding Plausible Tool Use Based on Human Demonstration.Shuichi Akizuki, Yoshimitsu Aoki
2018ICIPSuperpixel Convolution for Segmentation.Teppei Suzuki, Shuichi Akizuki, Naoki Kato, Yoshimitsu Aoki
2016ECCVPhysical Reasoning for 3D Object Recognition Using Global Hypothesis Verification.Shuichi Akizuki, Manabu Hashimoto
2015ISVCDPN-LRF: A Local Reference Frame for Robustly Handling Density Differences and Partial Occlusions.Shuichi Akizuki, Manabu Hashimoto
2015IVCNZSHORT: A fast 3D feature description based on estimating occupancy in spherical shell regions.Shoichi Takei, Shuichi Akizuki, Manabu Hashimoto
2014ICARCVHigh-speed and reliable object recognition based on low-dimensional local shape features.Masanobu Nagase, Shuichi Akizuki, Manabu Hashimoto
2014ICARCV3D object recognition using effective features selected by evaluating performance of discrimination.Shoichi Takei, Shuichi Akizuki, Manabu Hashimoto
2014IECONPosition and pose recognition of randomly stacked objects using highly observable 3D vector pairs.Shuichi Akizuki, Manabu Hashimoto
2013CAIP3-D Feature Point Matching for Object Recognition Based on Estimation of Local Shape Distinctiveness.Masanobu Nagase, Shuichi Akizuki, Manabu Hashimoto