Speech-to-Gesture Generation: A Challenge in Deep Learning Approach with Bi-Directional LSTM. - Kenta Takeuchi; Dai Hasegawa; Shinichi Shirakawa; Naoshi Kaneko; Hiroshi Sakuta; Kazuhiko Sumi (HAI, 2017)

Human Action Recognition via Body Part Region Segmented Dense Trajectories. - Kaho Yamada; Seiya Ito; Naoshi Kaneko; Kazuhiko Sumi (ACCV Workshops, 2018)

Deep Modular Network Architecture for Depth Estimation from Single Indoor Images. - Seiya Ito; Naoshi Kaneko; Yuma Shinohara; Kazuhiko Sumi (ECCV Workshops (1), 2018)

Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network. - Dai Hasegawa; Naoshi Kaneko; Shinichi Shirakawa; Hiroshi Sakuta; Kazuhiko Sumi (IVA, 2018)

On the Importance of Representations for Speech-Driven Gesture Generation. - Taras Kucherenko; Dai Hasegawa; Naoshi Kaneko; Gustav Eje Henter; Hedvig Kjellström (AAMAS, 2019)

Deep Monocular Depth Estimation in Partially-Known Environments. - Naoshi Kaneko; Yoshiaki Akazawa; Kazuhiko Sumi (GCCE, 2019)

Analyzing Input and Output Representations for Speech-Driven Gesture Generation. - Taras Kucherenko; Dai Hasegawa; Gustav Eje Henter; Naoshi Kaneko; Hedvig Kjellström (IVA, 2019)

Latent 3D Volume for Joint Depth Estimation and Semantic Segmentation from a Single Image. - Seiya Ito; Naoshi Kaneko; Kazuhiko Sumi (Sensors, 2020)

Bi-directional Recurrent MVSNet for High-resolution Multi-view Stereo. - Taku Fujitomi; Seiya Ito; Naoshi Kaneko; Kazuhiko Sumi (MVA, 2021)

Seeing Farther Than Supervision: Self-supervised Depth Completion in Challenging Environments. - Seiya Ito; Naoshi Kaneko; Kazuhiko Sumi (MVA, 2021)

Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation. - Taras Kucherenko; Dai Hasegawa; Naoshi Kaneko; Gustav Eje Henter; Hedvig Kjellström (Int. J. Hum. Comput. Interact., 2021)

Multimodal Pseudo-Labeling Under Various Shooting Conditions: Case Study on RGB and IR Images. - Hiroki Kojima; Naoshi Kaneko; Seiya Ito; Kazuhiko Sumi (IW-FCV, 2022)

TransGesture: Autoregressive Gesture Generation with RNN-Transducer. - Naoshi Kaneko; Yuna Mitsubayashi; Geng Mu (ICMI, 2022)

Viewpoint-independent Single-view 3D Object Reconstruction using Reinforcement Learning. - Seiya Ito; Byeongjun Ju; Naoshi Kaneko; Kazuhiko Sumi (VISIGRAPP (5: VISAPP), 2022)

Evaluation of text-to-gesture generation model using convolutional neural network. - Eiichi Asakawa; Naoshi Kaneko; Dai Hasegawa; Shinichi Shirakawa (Neural Networks, 2022)

Language Agnostic Gesture Generation Model: A Case Study of Japanese Speakers' Gesture Generation Using English Text-to-Gesture Model. - Genki Sakata; Naoshi Kaneko; Dai Hasegawa; Shinichi Shirakawa (VISIGRAPP (2: HUCAPP), 2023)

MOJI: Character-level convolutional neural networks for Malicious Obfuscated JavaScript Inspection. - Minato Ishida; Naoshi Kaneko; Kazuhiko Sumi (Appl. Soft Comput., 2023)

Combining Instance Segmentation and Background Subtraction Models for Small Object Detection. - Wisan Dhammatorn; Seiya Ito; Naoshi Kaneko; Kazuhiko Sumi (Int. J. Autom. Technol., 2025)