Naoshi Kaneko - RankMe

23 papers A 1B 4Misc 3Journal 8Unranked 6

Year	Rank	Type	Title / 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