Naoki Saito - RankMe

23 papers B 1Misc 3Journal 8Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Discrete Prompt Tuning via Recursive Utilization of Black-box Multimodal Large Language Model for Personalized Visual Emotion Recognition. CoRR Ryo Takahashi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	J	`jnl`	Triplet Synthesis For Enhancing Composed Image Retrieval via Counterfactual Image Generation. CoRR Kenta Uesugi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	Misc	`conf`	Triplet Synthesis for Enhancing Composed Image Retrieval via Counterfactual Image Generation. ICASSP Kenta Uesugi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	Misc	`conf`	Confidence-Aware Spatial-Temporal Attention Graph Convolutional Network for Skeleton-Based Expert-Novice Level Classification. ICASSP Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2024	J	`jnl`	Expert-Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism. Sensors Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2024	J	`jnl`	Multi-Modal Gaussian Process Latent Variable Model With Semi-Supervised Label Dequantization. IEEE Access Keisuke Maeda, Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Personalized Visual Emotion Classification via In-context Learning in Multimodal LLM. GCCE Ryo Takahashi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Zero-shot Composed Video Retrieval with Projection Module Bridging Modality Gap. GCCE Kenta Uesugi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	—	`conf`	Proficiency-level Estimation Using Heterogeneous Features via Label Dequantized CCA. ICCE-Taiwan Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2023	—	`conf`	Skill Level Classification Using Motion Data via Spatial Temporal Graph Convolutional Network. GCCE Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2023	J	`jnl`	Visual Emotion Recognition Through Multimodal Cyclic-Label Dequantized Gaussian Process Latent Variable Model. J. Robotics Mechatronics Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2021	Misc	`conf`	Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation. ICASSP Masanao Matsumoto, Keisuke Maeda, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2021	J	`jnl`	Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions. Sensors Ren Togo, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	J	`jnl`	Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest Estimation. IEEE Access Masanao Matsumoto, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	—	`conf`	Interest Estimation for Images Using Eye Gaze-based Visual and Text Features via DLPCCA. LifeTech Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2019	—	`conf`	Chronic Gastritis Detection from Gastric X-ray Images via Deep Autoencoding Gaussian Mixture Models. LifeTech Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2019	—	`conf`	Convolutional Sparse Coding-based Anomalous Event Detection in Surveillance Videos. ICCE-TW Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2019	J	`jnl`	Estimating Regions of Deterioration in Electron Microscope Images of Rubber Materials via a Transfer Learning-Based Anomaly Detection Model. IEEE Access Ren Togo, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2019	—	`conf`	Estimation of Emotions Evoked by Images Based on Multiple Gaze-based CNN Features. LifeTech Taiga Matsui, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2019	—	`conf`	Interest Estimation for Images Based on Eye Gaze-based Visual and Text Features. GCCE Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2018	—	`conf`	Missing Image Data Estimation via Iterative Convolutional Sparse Coding. GCCE Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2018	B	`conf`	Tourism Category Classification on Image Sharing Services Through Estimation of Existence of Reliable Results. ICMR Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2016	—	`conf`	A tourism category classification method based on estimation of reliable decision. GCCE Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama