Naoshi Kaneko

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 19

Top Topics

Semantic Segmentation

Speech Recognition

Depth Estimation

Top Venues

Publications

Genki Sakata, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa
Language Agnostic Gesture Generation Model: A Case Study of Japanese Speakers' Gesture Generation Using English Text-to-Gesture Model. VISIGRAPP (2: HUCAPP) (2023)
Minato Ishida, Naoshi Kaneko, Kazuhiko Sumi
MOJI: Character-level convolutional neural networks for Malicious Obfuscated JavaScript Inspection. Appl. Soft Comput. 137 (2023)
Seiya Ito, Byeongjun Ju, Naoshi Kaneko, Kazuhiko Sumi
Viewpoint-independent Single-view 3D Object Reconstruction using Reinforcement Learning. VISIGRAPP (5: VISAPP) (2022)
Naoshi Kaneko, Yuna Mitsubayashi, Geng Mu
TransGesture: Autoregressive Gesture Generation with RNN-Transducer. ICMI (2022)
Hiroki Kojima, Naoshi Kaneko, Seiya Ito, Kazuhiko Sumi
Multimodal Pseudo-Labeling Under Various Shooting Conditions: Case Study on RGB and IR Images. IW-FCV (2022)
Eiichi Asakawa, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa
Evaluation of text-to-gesture generation model using convolutional neural network. Neural Networks 151 (2022)
Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi
Seeing Farther Than Supervision: Self-supervised Depth Completion in Challenging Environments. MVA (2021)
Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström
Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation. Int. J. Hum. Comput. Interact. 37 (14) (2021)
Taku Fujitomi, Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi
Bi-directional Recurrent MVSNet for High-resolution Multi-view Stereo. MVA (2021)
Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi
Latent 3D Volume for Joint Depth Estimation and Semantic Segmentation from a Single Image. Sensors 20 (20) (2020)
Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström
Moving fast and slow: Analysis of representations and post-processing in speech-driven automatic gesture generation. CoRR (2020)
Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström
On the Importance of Representations for Speech-Driven Gesture Generation. AAMAS (2019)
Naoshi Kaneko, Yoshiaki Akazawa, Kazuhiko Sumi
Deep Monocular Depth Estimation in Partially-Known Environments. GCCE (2019)
Taras Kucherenko, Dai Hasegawa, Gustav Eje Henter, Naoshi Kaneko, Hedvig Kjellström
Analyzing Input and Output Representations for Speech-Driven Gesture Generation. IVA (2019)
Taras Kucherenko, Dai Hasegawa, Gustav Eje Henter, Naoshi Kaneko, Hedvig Kjellström
Analyzing Input and Output Representations for Speech-Driven Gesture Generation. CoRR (2019)
Kaho Yamada, Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi
Human Action Recognition via Body Part Region Segmented Dense Trajectories. ACCV Workshops (2018)
Seiya Ito, Naoshi Kaneko, Yuma Shinohara, Kazuhiko Sumi
Deep Modular Network Architecture for Depth Estimation from Single Indoor Images. ECCV Workshops (1) (2018)
Dai Hasegawa, Naoshi Kaneko, Shinichi Shirakawa, Hiroshi Sakuta, Kazuhiko Sumi
Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network. IVA (2018)
Kenta Takeuchi, Dai Hasegawa, Shinichi Shirakawa, Naoshi Kaneko, Hiroshi Sakuta, Kazuhiko Sumi
Speech-to-Gesture Generation: A Challenge in Deep Learning Approach with Bi-Directional LSTM. HAI (2017)