Naoshi Kaneko

23 papers A 1B 4Misc 3Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Combining Instance Segmentation and Background Subtraction Models for Small Object Detection.
Int. J. Autom. Technol.
Wisan Dhammatorn, Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi
2025 J jnl
DACoN: DINO for Anime Paint Bucket Colorization with Any Number of Reference Images.
CoRR
Kazuma Nagata, Naoshi Kaneko
2025 Misc conf
Low-Latency Real-Time Audio-Driven Talking Head Generation Based on Future Speech Feature Prediction.
MVA
Weijie Guo, Naoshi Kaneko, Yoshiaki Akazawa
2023 — conf
Language Agnostic Gesture Generation Model: A Case Study of Japanese Speakers' Gesture Generation Using English Text-to-Gesture Model.
VISIGRAPP (2: HUCAPP)
Genki Sakata, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa
2023 J jnl
MOJI: Character-level convolutional neural networks for Malicious Obfuscated JavaScript Inspection.
Appl. Soft Comput.
Minato Ishida, Naoshi Kaneko, Kazuhiko Sumi
2022 J jnl
Evaluation of text-to-gesture generation model using convolutional neural network.
Neural Networks
Eiichi Asakawa, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa
2022 — ed.
Frontiers of Computer Vision - 28th International Workshop, IW-FCV 2022, Hiroshima, Japan, February 21-22, 2022, Revised Selected Papers
IW-FCV
Kazuhiko Sumi, In Seop Na, Naoshi Kaneko
2022 — conf
Multimodal Pseudo-Labeling Under Various Shooting Conditions: Case Study on RGB and IR Images.
IW-FCV
Hiroki Kojima, Naoshi Kaneko, Seiya Ito, Kazuhiko Sumi
2022 B conf
TransGesture: Autoregressive Gesture Generation with RNN-Transducer.
ICMI
Naoshi Kaneko, Yuna Mitsubayashi, Geng Mu
2022 — conf
Viewpoint-independent Single-view 3D Object Reconstruction using Reinforcement Learning.
VISIGRAPP (5: VISAPP)
Seiya Ito, Byeongjun Ju, Naoshi Kaneko, Kazuhiko Sumi
2021 Misc conf
Bi-directional Recurrent MVSNet for High-resolution Multi-view Stereo.
MVA
Taku Fujitomi, Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi
2021 J jnl
Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation.
Int. J. Hum. Comput. Interact.
Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström
2021 Misc conf
Seeing Farther Than Supervision: Self-supervised Depth Completion in Challenging Environments.
MVA
Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi
2020 J jnl
Latent 3D Volume for Joint Depth Estimation and Semantic Segmentation from a Single Image.
Sensors
Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi
2020 J jnl
Moving fast and slow: Analysis of representations and post-processing in speech-driven automatic gesture generation.
CoRR
Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström
2019 B conf
Analyzing Input and Output Representations for Speech-Driven Gesture Generation.
IVA
Taras Kucherenko, Dai Hasegawa, Gustav Eje Henter, Naoshi Kaneko, Hedvig Kjellström
2019 J jnl
Analyzing Input and Output Representations for Speech-Driven Gesture Generation.
CoRR
Taras Kucherenko, Dai Hasegawa, Gustav Eje Henter, Naoshi Kaneko, Hedvig Kjellström
2019 — conf
Deep Monocular Depth Estimation in Partially-Known Environments.
GCCE
Naoshi Kaneko, Yoshiaki Akazawa, Kazuhiko Sumi
2019 A conf
On the Importance of Representations for Speech-Driven Gesture Generation.
AAMAS
Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström
2018 — conf
Deep Modular Network Architecture for Depth Estimation from Single Indoor Images.
ECCV Workshops (1)
Seiya Ito, Naoshi Kaneko, Yuma Shinohara, Kazuhiko Sumi
2018 B conf
Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network.
IVA
Dai Hasegawa, Naoshi Kaneko, Shinichi Shirakawa, Hiroshi Sakuta, Kazuhiko Sumi
2018 — conf
Human Action Recognition via Body Part Region Segmented Dense Trajectories.
ACCV Workshops
Kaho Yamada, Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi
2017 B conf
Speech-to-Gesture Generation: A Challenge in Deep Learning Approach with Bi-Directional LSTM.
HAI
Kenta Takeuchi, Dai Hasegawa, Shinichi Shirakawa, Naoshi Kaneko, Hiroshi Sakuta, Kazuhiko Sumi