Jing Yang, Junwen Chen and Keiji Yanai: Improving Cross-Modal Recipe Embeddings with Cross Decoder, Proc. of ACM ICMR Workshop on Intelligent Cross-Data Analysis and Retrieval, (2024). (Paper PDF)(Slide PDF)
Junwen Chen, Yingcheng Wang and Keiji Yanai: HOI as Embeddings: Advancements of Model Representation Capability in Human-Object Interaction Detection, Proc. of IEEE International Conference on Multimedia Information Processing and Retrieval, (2024). (Paper PDF)(Slide PDF)
Jing Yang, Junwen Chen and Keiji Yanai: RecipeSD: Injecting Recipe into Food Image Synthesis with Stable Diffusion, Proc. of ACMMM Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice (McGE), (2024). (Paper PDF)(Slide PDF)
Hikaru Tanabe and Keiji Yanai: CalorieLLaVA: Image-based Calorie Estimation with Multimodal Large Language Models, Proc. of ICPR Workshop on Multimedia Assisted Dietary Management (MADIMA), (2024). (Paper PDF)(Slide PDF)
Kohei Yamamoto, Honghui Yuan and Keiji Yanai: Calorie-Aware Food Image Editing with Image Generation Models, Proc. of ICPR Workshop on Multimedia Assisted Dietary Management (MADIMA), (2024). (Paper PDF)(Slide PDF)
Yuto Nakamizo and Keiji Yanai: Act-ChatGPT: Introducing Action Features into Multi-Modal Large Language Models for Video Understanding, Proc. of International Conference on Pattern Recognition (ICPR), (2024). (Paper PDF)(Slide PDF)
Honghui Yuan and Keiji Yanai: Font Style Translation in Scene Text Images with CLIPstyler, Proc. of International Conference on Pattern Recognition (ICPR), (2024). (Paper PDF)(Slide PDF)
Rento Yamaguchi and Keiji Yanai: Exploring Cross-Attention Maps in Multi-modal Diffusion Transformers for Training-Free Semantic Segmentation, Proc. of ACCV WS on Large Vision Language Model Learning and Applications (LAVA), (2024). (Paper PDF)(Slide PDF)
Ryuta Yamakura and Keiji Yanai: Vector Logo Image Synthesis Using Differentiable Renderer, Proc. of ACCV WS on Rich Media with Generative AI (RichMediaGAI), (2024). (Paper PDF)(Slide PDF)
Honghui Yuan and Keiji Yanai: KuzushijiDiffuser: Japanese Kuzushiji Font Generation with FontDiffuser, Proc. of the International Multimedia Modeling Conference (MMM), (2025). (Paper PDF)
Honghui Yuan and Keiji Yanai: KuzushijiFontDiff: Diffusion Model for Japanese Kuzushiji Font Generation, Proc. of the International Multimedia Modeling Conference (MMM) (demo paper), (2025). (Paper PDF)
Honghui Yuan and Keiji Yanai: SceneTextStyler: Editing Text with Style Transformation, Proc. of the International Multimedia Modeling Conference (MMM) (demo paper), (2025). (Paper PDF)
Hikaru Tanabe and Keiji Yanai: CalorieVoL: Integrating Volumetric Context into Multimodal Large Language Models for Image-based Calorie Estimation, Proc. of the International Multimedia Modeling Conference (MMM), (2025). (Paper PDF)
Kota Izumi and Keiji Yanai: WaveFontStyler: Font Style Transfer Based on Sound, Proc. of the International Multimedia Modeling Conference (MMM) (demo paper), (2025). (Paper PDF)
2023
Junwen Chen and Keiji Yanai: QAHOI: Query-Based Anchors for Human-Object Interaction Detection, Proc. of International Conference on Machine Vision Applications (MVA), (2023). (Paper PDF)(Slide PDF)
Kento Terauchi and Keiji Yanai: CalorieCam360: Simultaneous Eating Action Recognition of Multiple People Using an Omnidirectional Camera, Proc. of ACM International Conference on Multimedia Retrieval (ICMR), (2023). (Paper PDF)(Slide PDF)
Yingcheng Wang, Junwen Chen and Keiji Yanai: HowToEat: Exploring Human-Object Interaction and Eating Action in Eating Scenarios, Proc. of ACM MM Workshop on Multimedia Assisted Dietary Management (MADiMa), (2023). (Paper PDF)(Slide PDF)
Zhongtao Chen, Yuma Hombu and Keiji Yanai: Mask-based Food Image Synthesis with Cross-Modal Recipe Embeddings, Proc. of ACM Multimedia Asia, (2023). (Paper PDF)(Slide PDF)
Jingbin Xu, Junwen Chen and Keiji Yanai: Contextual Associated Triplet Queries for Panoptic Scene Graph Generation, Proc. of ACM Multimedia Asia, (2023). (Paper PDF)(Slide PDF)
Ryota Kaji and Keiji Yanai: VQ-VDM: Video Diffusion Models with 3D VQGAN, Proc. of ACM Multimedia Asia, (2023). (Paper PDF)(Slide PDF)
2022
Yuchen Qian, Kohei Yamamoto and Keiji Yanai: StyleGAN-based CLIP-guided Image Shape Manipulation, Proc.of International Conference on Content-based Multimedia Indexing (CBMI), (2022). (Paper PDF)(Slide PDF)
Mana Takeda and Keiji Yanai: Continual Learning in Vision Transformer, Proc.of IEEE International Conference on Image Processing (ICIP), (2022). (Paper PDF)(Slide PDF)
Shu Naritomi and Keiji Yanai: Real Scale 3D Reconstruction of a Dish and a Plate using Implicit Function and a Single RGB-D Image, Proc. of ACMMM Workshop on Multimedia Assisted Dietary Management (MADIMA), (2022). (Paper PDF)(Slide PDF)
Kohei Yamamoto and Keiji Yanai: Text-based Image Editing for Food Images with CLIP, Proc. of ACMMM Workshop on Multimedia Assisted Dietary Management (MADIMA), (2022). (Paper PDF)(Slide PDF)
Kento Adachi and Keiji Yanai: DepthGrillCam: A Mobile Application for Real-time Eating Action Recording Using RGB-D Images, Proc. of ACMMM Workshop on Multimedia Assisted Dietary Management (MADIMA), (2022). (Paper PDF)(Slide PDF)
Yuma Honbu and Keiji Yanai: SetMealAsYouLike: Sketch-based Set Meal Image Synthesis with Plate Annotations, Proc. of ACMMM Workshop on Multimedia Assisted Dietary Management (MADIMA), (2022). (Paper PDF)(Slide PDF)
Junwen Chen and Keiji Yanai: Parallel Queries for Human-Object Interaction Detection, Proc. of ACM Multimedia Asia, (2022). (Slide PDF)
Kota Izumi and Keiji Yanai: Zero-shot Font Style Transfer with a Differentiable Renderer, Proc. of ACM Multimedia Asia, (2022). (Paper PDF)(Slide PDF)
Jing Yang, Junwen Chen and Keiji Yanai: Transformer-Based Cross-Modal Recipe Embeddings with Large Batch Training, Proc. of the International Multimedia Modeling Conference (MMM), (2023). (Paper PDF)(Slide PDF)
Daiki Shimizu and Keiji Yanai: Virtual Try-On Considering Temporal Consistency for Videoconferencing, Proc. of the International Multimedia Modeling Conference (MMM), (2023). (Paper PDF)(Slide PDF)
Kotaro Higuchi, Yuma Honbu, and Keiji Yanai: Patent Image Retrieval Using Cross-entropy-based Metric Learning, Proc.of International Workshop on Frontiers of Computer Vision (IW-FCV), (2023). (Paper PDF)(Slide PDF)
2021
Honghui Yuan and Keiji Yanai: Multi-Style Transfer Generative Adversarial Network for Text Images, Proc. of IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), (2021). (Paper PDF)(Slide PDF)
Shu Naritomi and Keiji Yanai: 3D Mesh Reconstruction of Foods from a Single Image, Proc. of ACM Multimedia WS on AIxFood, (2021). (Paper PDF)(Slide PDF)
Yu Sugiyama and Keiji Yanai: Cross-Modal Recipe Embeddings by Disentangling Recipe Contents and Dish Styles, Proc. of ACM Multimedia, (2021). (Paper PDF)(Slide PDF)
Kento Terauchi and Keiji Yanai: Pose Sequence Generation with a GCN and an Initial Pose Generator, . of Asian Conference on Pattern Recgonition (ACPR), (2021). (Paper PDF)(Slide PDF)
Shu Naritomi, Gibran Benitez-Garcia and Keiji Yanai: Ketchup As You Like: Drawing Editor for Foods, Proc. of IEEE Airtificial Intelligence and Virtual Realty (IEEE AIVR), (2021). (Paper PDF)
Yuma Honbu and Keiji Yanai: Few-Shot and Zero-Shot Semantic Segmentation for Food Images, Proc. of ICMR WS on Multimedia for Cooking and Eating Activities (CEA), (2021). (Paper PDF)
Kaimu Okamoto, Kento Adachi and Keiji Yanai: Region-Based Food Calorie Estimation for Multiple-Dish Meals, Proc. of ICMR WS on Multimedia for Cooking and Eating Activities (CEA), (2021). (Paper PDF)(Slide PDF)
Gibran Benitez-Garcia and Keiji Yanai: Ketchup GAN: A New Dataset for Realistic Synthesis of Letters on Food, Proc. of ICMR WS on Multimedia Artworks Analysis and Attractiveness Computing (MMArt), (2021). (Paper PDF)(Slide PDF)
Mana Takeda and Keiji Yanai: Generating Images from Small Datasets Using Adaptive Point-wise Grouped Convolutions, Proc. of International Workshop on Frontiers of Computer Vision (IW-FCV), (2022). (Paper PDF)(Slide PDF)
2020
Wataru Shimoda and Keiji Yanai: Predicting Plate Regions for Weakly-supervised Food Image Segmentation, Proc. of IEEE International Conference on Multimedia and Expo (ICME), (2020). (Paper PDF)(Slide PDF)
Gibran Benitez-Garcia, Wataru Shimoda, and Keiji Yanai: Style Image Retrieval for Improving Material Translation Using Neural Style Transfer, Proc. of ACM ICMR Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia (MMArt-ACM), (2020). (Paper PDF)(Slide PDF)
Takuro Karamatsu, Gibran Benitez-Garcia, Keiji Yanai, and Seiichi Uchida: _Converting Photographs into Icons, Proc. of ACM ICMR Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia (MMArt-ACM), (2020). (Paper PDF)(Slide PDF)
Jaehyeong Cho, Wataru Shimoda, and Keiji Yanai: Mask-Based Style-Controlled Image Synthesis Using a Mask Style Encoder, Proc. of IAPR International Conference on Pattern Recognition (ICPR), (2021). (Paper PDF)(Slide PDF)
Gibran Benitez-Garcia, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, and Keiji Yanai: IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition, Proc. of IAPR International Conference on Pattern Recognition (ICPR), (2021). (Paper PDF)(Slide PDF)
Leonel Rosas-Arias, Gibran Benitez-Garcia, Jose Portillo-Portillo, Gabriel Sanchez-Perez, and Keiji Yanai: Fast and Accurate Real-Time Semantic Segmentation with Dilated Asymmetric Convolutions, Proc. of IAPR International Conference on Pattern Recognition (ICPR), (2021). (Paper PDF)(Slide PDF)
Kaimu Okamoto and Keiji Yanai: UEC-FoodPix Complete: A Large-scale Food Image Segmentation Dataset, Proc. of ICPR Workshop on Multimedia Assisted Dietary Management (MADIMA),, (2021). (Paper PDF)(Slide PDF)
Yuta Ide, Tsuyohito Araki, Ryunosuke Hamada, Kazunori Ohno, and Keiji Yanai: Rescue Dog Action Recognition by Integrating Ego-centric Video, Sound and Sensor Information, Proc. of ICPR Workshop on Applications of Egocentric Vision (EgoApp), (2021). (Paper PDF)(Slide PDF)
Mana Takeda, Gibran Benitez-Garcia, and Keiji Yanai: Training of Multiple and Mixed Tasks With A Single Network Using Feature Modulation, Proc. of ICPR Workshop on Deep Learning for Pattern Recognition (DLPR), (2021). (Paper PDF)(Slide PDF)
Shu Naritomi and Keiji Yanai: Hungry Networks: 3D Mesh Reconstruction of a Dish and a Plate from a Single Dish Image for Estimating Food Volume, Proc. of ACM Multimedia Asia, (2021). (Paper PDF)(Slide PDF)
2019
Wataru Shimoda and Keiji Yanai: Self-supervised Difference Detection for Refinement CRF and Seed Interpolation, CVPR WS on Weakly Supervised Learning for Real-World Computer Vision Applications, (2019). (Paper PDF)(Slide PDF)
Kaimu Okamoto and Keiji Yanai: Analyzing Regional Food Trends with Geo-tagged Twitter Food Photos, Proc. of International Conference on Content-Based Multimedia Indexing (CBMI), (2019). (Paper PDF)(Slide PDF)
Keiji Yanai, Kaimu Okamoto, Tetsuya Nagano and Daichi Horita:: Large-scale Twitter Food Photo Mining and Its Applications, International Conference on Multimedia Big Data (BIGMM), (2019). (Paper PDF)(Slide PDF)
Yoshikazu Ando, Takumi Ege, Jaehyeong Cho, Keiji Yanai: DepthCalorieCam: A Mobile Application for Volume-Based Food Calorie Estimation using Depth Cameras, ACMMM Workshop on Multimedia Assisted Dietary Management (MADIMA), (2019). (Paper PDF)(Slide PDF)
Takumi Ege, Wataru Shimoda, Keiji Yanai: A New Large-scale Food Image Segmentation Dataset and Its Application to Food Calorie Estimation Based on Grains of Rice, ACMMM Workshop on Multimedia Assisted Dietary Management (MADIMA), (2019). (Paper PDF)(Slide PDF)
Daichi Horita, Wataru Shimoda, Keiji Yanai: Unseen Food Creation by Mixing Existing Food Images with Conditional StyleGAN, ACMMM Workshop on Multimedia Assisted Dietary Management (MADIMA), (2019). (Paper PDF)(Slide PDF)
Jaehyeong Cho, Wataru Shimoda and Keiji Yanai: Ramen as You Like :Sketch-based Food Image Generation and Editing, ACM Multimedia, (2019). (Paper PDF)(Slide PDF)
Wataru Shimoda and Keiji Yanai: Zero-Annotation Plate Segmentation Using a Food Category Classifier and a Food/Non-Food Classifier, ICCV Workshop on Multi-Discipline Approach for Learning Concepts (MDALC), (2019). (Paper PDF)(Slide PDF)
Wataru Shimoda and Keiji Yanai : Self-supervised Difference Detection for Weakly-supervised Semantic Segmentation , IEEE/CVF International Conference on Computer Vision (ICCV), (2019). (Paper PDF)(Slide PDF)
Tsuyohito Araki, Ryunosuke Hamada, Kazunori Ohno, and Keiji Yanai: Dog-Centric Activity Recognition by Integrating Appearance, Motion and Sound, ICCV Workshop on Egocentric Perception, Interaction and Computing (EPIC), (2019). (Paper PDF)(Slide PDF)
Yuchen Wu, Runtong Zhang and Keiji Yanai: Attention Guided Unsupervised Image-to-Image Translation with Progressively Growing Strategy, ACPR Workshop on Advances and Applications on Generative Deep Learning Models (AAGM), (2019). (Paper PDF)
Runtong Zhang, Yuchen Wu and Keiji Yanai: Pre-trained and Shared Encoder in Cycle-Consistent Adversarial Networks to Improve Image Quality, Asian Conference on Pattern Recognition (ACPR), (2019). (Paper PDF)(Slide PDF) (Poster PDF)
Asato Matsumoto and Keiji Yanai: Continual Learning of An Image Transformation Network Using Task-dependent Weight Selection Masks, Asian Conference on Pattern Recognition (ACPR), (2019). (Paper PDF)(Slide PDF)
Daichi Horita and Keiji Yana: SSA-GAN: End-to-End Time-Lapse Generation with Spatial Self-Attention, Asian Conference on Pattern Recognition (ACPR), (2019). (Paper PDF)(Slide PDF)
Shu Naritomi and Keiji Yanai: CalorieCaptorGlass: Food Calorie Estimation based on Actual Size using HoloLens and Deep Learning, Proc. of IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR) , (2020). (Paper PDF)(Slide PDF)
2018
Takumi Ege and Keiji Yanai: Multi-task Learning of Dish Detection and Calorie Estimation , Proc. of International Workshop on Multimedia Assisted Dietary Management (MADIMA), (2018). (Paper PDF)(Slide PDF) (Poster PDF)
Daichi Horita, Ryosuke Tanno, Wataru Shimoda, Keiji Yanai : Food Category Transfer with Conditional Cycle GAN and a Large-scale Food Image Dataset, Proc. of International Workshop on Multimedia Assisted Dietary Management (MADIMA), (2018). (Paper PDF)(Slide PDF)
Yoshifumi Ito, Wataru Shimoda and Keiji Yanai: Food Image Generation using A Large Amount of Food Images with Conditional GAN: RamenGAN and RecipeGAN, Proc. of International Workshop on Multimedia Assisted Dietary Management (MADIMA), (2018). (Paper PDF)(Slide PDF) (Poster PDF)
Ryosuke Tanno, Takumi Ege, Keiji Yanai: AR DeepCalorieCam V2: Food Calorie Estimation with CNN and AR-based Actual Size Estimation, ACM Symposium on Virtual Reality Software and Technology (VRST), (2018). (Paper PDF)(Slide PDF)
Daichi Horita, Jaehyeong Cho, Takumi Ege, Keiji Yanai: CNN-based Photo Transformation for Improving Attractiveness of Ramen Photos, ACM Symposium on Virtual Reality Software and Technology (VRST), (2018). (Paper PDF)(Slide PDF)
Yu Sugiyama and Keiji Yanai: Word-Conditioned Image Style Transfer, Proc. of ACCV Workshop on AI Aesthetics in Art and Media (AIAM), (2018). (Paper PDF)(Slide PDF)
Atsushi Narusawa, Wataru Shimoda, and Keiji Yanai: Font Style Transfer Using Neural Style Transfer and Unsupervised Cross-domain Transfer, Proc. of ACCV Workshop on AI Aesthetics in Art and Media, (2018). (Paper PDF)(Slide PDF)
Yuki Izumi, Daichi Horita, Ryosuke Tanno and Keiji Yanai: Real-Time Image Classification and Transformation Apps on iOS by "Chainer2MPSNNGraph", Proc. of NIPS WS on Machine Learning on the Phone and other Consumer Devices (MLPCD), (2018). (Paper PDF)(Slide PDF)
Asato Matsumoto and Keiji Yanai: Continual Learning for an Encoder-Decoder CNN Using "Piggyback", Proc. of NIPS Continual Learning Workshop, (2018). (Paper PDF)(Slide PDF)
Shu Naritmo, Ryosuke Tanno, Takumi Ege, and Keiji Yanai: CNN-based Food Transformation on HoloLens, Proc. of International Workshop on Interface and Experience Design with AI for VR/AR (DAIVAR), (2018). (Paper PDF)(Slide PDF)
Tetsuya Nagano, Takumi Ege, Wataru Shimoda and Keiji Yanai: A Large-scale Analysis of Regional Tendency of Twitter Photos Using Only Image Features, Proc. of IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), (2019). (Paper PDF)(Slide PDF)
Takumi Ege, Yoshikazu Ando, Ryosuke Tanno, Wataru Shimoda and Keiji Yanai: Image-Based Estimation of Real Food Size for Accurate Food Calorie Estimation, Proc. of IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), (2019). (Paper PDF)(Slide PDF)
2017
Wataru Shimoda and Keiji Yanai: Learning Food Image Similarity for Food Image Retrieval, International Conference on Multimedia Big Data (BIGMM), (2017). (Paper PDF)(Slide PDF)
Shin Matsuo, Wataru Shimoda and Keiji Yanai: Twitter Photo Geo-Localization Using Both Textual and Visual Features, International Conference on Multimedia Big Data (BIGMM), (2017). (Paper PDF)(Slide PDF)
Keiji Yanai: Unseen Style Transfer Based on a Conditional Fast Style Transfer Network, International Conference on Learning Representation Workshop Track (ICLR WS), (2017). (Paper PDF)(Slide PDF)
Takumi Ege and Keiji Yana: Simultaneous Estimation of Food Categories and Calories with Multi-task CNN, APR International Conference on Machine Vision Applications (MVA), (2017). (Paper PDF)(Slide PDF)
Keiji Yanai and Ryosuke Tanno: Conditional Fast Style Transfer Network, ACM International Conference on Multimedia Retrieval (ICMR), (2017). (Paper PDF)(Slide PDF)
Partial Style Transfer Using Weakly-Supervised Semantic Segmentation: Shin Matsuo, Wataru Shimoda and Keiji Yanai, ICME Workshop on Multimedia Artworks Analysis (MMArt), (2017). (Paper PDF)(Slide PDF)
Ryosuke Tanno, Keiji Yanai: Unseen Style Transfer Network, Meeting on Image Recognition and Understanding (MIRU), pp.PS3-27, (2017). (Paper PDF)(Slide PDF)
Takumi Ege and Keiji yanai: Comparison of Two Approaches for Direct Food Calorie Estimation, Proc. of International Workshop on Multimedia Assisted Dietary Management (MADIMA), (2017). (Paper PDF)(Slide PDF)
Takumi Ege and Keiji Yanai: Image-Based Food Calorie Estimation Using Knowledge on Food Categories, Ingredients and Cooking Directions, Proc. of ACM Multimedia Thematic Workshops on Understanding, (2017). (Paper PDF)(Slide PDF)
Wataru Shimoda and Keiji Yanai: Predicting Segmentation ``Easiness'' from the Consistency for Weakly-Supervised Segmentation, Proc. of Asian Conference on Pattern Recognition (ACPR), (2017). (Paper PDF)(Slide PDF)
Takumi Ege and Keiji Yanai: Estimating Food Calories for Multiple-dish Food Photos, Proc. of Asian Conference on Pattern Recognition (ACPR), (2017). (Paper PDF)(Slide PDF)
Ryosuke Tanno, Takumi Ege and Keiji Yanai: AR DeepCalorieCam: An iOS App for Food Calorie Estimation with Augmented Reality, International Multimedia Modeling Conference (MMM), (2017). (Paper PDF)(Slide PDF)
2016
Takamu Kaneko and Keiji Yanai: Visual Event Mining from the Twitter Stream, ACM WWW Conf., (2016). (Paper PDF)(Slide PDF)
Shin Matsuo and Keiji Yanai: CNN-based Style Vector for Style Image Retrieval,, ACM ICMR, (2016). (Paper PDF)(Slide PDF)
Wataru Shimoda and Keiji Yanai: Distinct Class-specific Saliency Maps for Weakly Supervised Semantic Segmentation, ECCV, (2016). (Paper PDF)(Slide PDF)
Ryosuke Tanno, Wataru Shimoda, Keiji Yanai: DeepXCam: Very Fast CNN-based Mobile Applications: Multiple Style Transfer and Object Recognition, ECCV, (2016). (Slide PDF)
Wataru Shimoda and Keiji Yanai: Foodness proposal for webly supervised food detection, Proc. of ACM MM Workshop on Multimedia Assisted Dietary Management (MADiMa), (2016). (Paper PDF)(Slide PDF)
Koichi Okamoto and Keiji Yanai: An Automatic Calorie Estimation System of Food Images on a Smartphone, Proc. of ACM MM Workshop on Multimedia Assisted Dietary Management (MADiMa), (2016). (Paper PDF)(Slide PDF)
Ryosuke Tanno, Koichi Okamoto, Keiji Yanai: DeepFoodCam: A DCNN-based Real-time Mobile Food Recognition System, Proc. of ACM MM Workshop on Multimedia Assisted Dietary Management (MADiMa), (2016). (Paper PDF)(Slide PDF)
Keiji Yanai and Ryosuke Tanno and Koichi Okamoto : Efficient Mobile Implementation of A CNN-based Object Recognition System, ACM Multimedia, (2016). (Paper PDF)(Slide PDF)
Ryosuke Tanno, Keiji Yanai: Caffe2C: A Framework for Easy Implementation of CNN-based Mobile Applications, International Workshop On Mobile Ubiquitous Systems, Infras- tructures, Communications, And AppLications (MUSICAL 2016), (2016). (Paper PDF)(Slide PDF)
Wataru Shimoda and Keiji Yanai: Weakly-Supervised Segmentation by Combining CNN Feature Maps and Object Saliency Maps, Proc. of International Conference on Pattern Recognition (ICPR), (2016). (Paper PDF)(Slide PDF)
Ryosuke Tanno, Keiji Yanai: DeepStyleCam: A Real-time Style Transfer App on iOS, International MultiMedia Modeing Conference (MMM), (2017). (Paper PDF)(Slide PDF)
2015
Wataru Shimoda, Keiji Yanai: A Visual Analysis on Recognizability and Discriminability of Onomatopoeia Words with DCNN Features, IEEE International Conference on Multimedia and Expo (ICME), (2015). (Paper PDF)(Slide PDF)
Keiji Yanai, Yoshiyuki Kawano: Food Image Recognition using Deep Convolutional Network with Pre-training and Fine-tuining, ICME Workshop on Multimedia for Cooking and eating Activities (CEA), (2015). (Paper PDF)(Slide PDF)
Wataru Shimoda and Keiji Yanai: CNN-Based Food Image Segmentation, Proc. of International Workshop on Multimedia Assisted Dietary Management (MADIMA), (2015). (Paper PDF)(Slide PDF)
Takamu Kaneko, Nga Do Hang, Keiji Yanai : Twitter Event Photo Detection Using Geotagged Tweets and Non-geotagged Photo Tweets, Proc. of Pacific-Rim Conference on Multimedia (PCM), (2015). (Paper PDF)(Slide PDF)
Takao Kakimori, Makoto Okabe, Keiji Yanai and Rikio Onai: A system to support the amateurs to take a delicious-looking picture of foods, SIGGRAPH ASIA Symposium on Mobile Graphics and Interactive Applications, (2015). (Paper PDF)(Slide PDF)
Yoshiyuki Kawano and Keiji Yanai: Low-Bit Representation of Linear Classifier Weights for Mobile Large-Scale Image Classification, Asian Conference on Pattern Recognition (ACPR), (2015). (Paper PDF)(Slide PDF)
Nga Do and Keiji Yanai: Automatic Action Dataset Construction from Web using Density-based Cluster Analysis and Outlier Detection, Pacific Rim Symposium on Image and Video Technology (PSIVT), (2015). (Paper PDF)(Slide PDF)
Koichi Okamoto and Keiji Yanai: GrillCam: A Real-time Eating Action Recognition System, International Conference on Multimedia Modelling (MMM), (2016). (Paper PDF)(Slide PDF)
2014
Yoshiyuki Kawano and Keiji Yanai: Offline 1000-Class Classification on a Smartphone, CVPR Workshop on Mobile Vision, (2014). (Paper PDF)(Slide PDF)
Masaya Okamoto and Yoshiyuki Kawano and Keiji Yanai: Summarization of Egocentric Moving Videos for Generating Walking Route Guidance , CVPR Workshop on Egocentric Vision, (2014). (Paper PDF)(Slide PDF)
Koichi Okamoto and Keiji Yanai: Realtime Eating Action Recognition System on a Smartphone, ICME Workshop on Mobile Multimedia Computing, (2014). (Paper PDF)(Slide PDF)
Yoshiyuki Kawano and Keiji Yanai: ILSVRC on a Smartphone, IPSJ Transactions on Computer Vision and Applications, (2014). (Paper PDF)(Slide PDF)
Yoshiyuki Kawano and Keiji Yanai: Automatic Expansion of a Food Image Dataset Leveraging Existing Categories with Domain Adaptation, ECCV Workshop on Transferring and Adapting Source Knowledge in Computer Vision (TASK-CV), (2014/09). (Paper PDF)(Slide PDF)
Yoshiyuki Kawano and Keiji Yanai: Food Image Recognition with Deep Convolutional Features, ACM UbiComp Workshop on Workshop on Smart Technology for Cooking and Eating Activities (CEA), (2014/09). (Paper PDF)(Slide PDF)
Vu Gia Truong, Do Hang Nga, Keiji Yanai: Analyzing the similarities of actions based on video clustering, International Workshop on Modern Science and Technology (IWMST), , (2014). (Paper PDF)(Slide PDF)
Do Hang Nga and Keiji Yanai: Hand detection and tracking in videos for fine-grained action recognition, ACCV Workshop on Human Gait and Action Analysis in the Wild: Challenges and Applications, (2014). (Paper PDF)(Slide PDF)
Yoshiyuki Kawano and Keiji Yanai: FoodCam-256: A Large-scale Real-time Mobile Food Recognition System employing High-Dimensional Features and Compression of Classifier Weights, ACM Multimedia, (2014). (Paper PDF)(Slide PDF)
Mizuki Akiyama, Yoshiyuki Kawano, Keiji Yanai: Object Categorization by Local Feature Matching with a Large Number of Web Images, PCM Workshop on Multimedia Big Data Analytics (MBDA), (2014). (Paper PDF)(Slide PDF)
Wataru Shimoda, Keiji Yanai: An Analysis on Visual Recognizability of Onomatopoeia Using Web Images and DCNN features, PCM Workshop on Multimedia Big Data Analytics (MBDA), (2014). (Paper PDF)(Slide PDF)
Keiji Yanai and Yoshiyuki Kawano: Twitter Food Image Mining and Analysis for One Hundred Kinds of Foods , Pacifit-Rim Conference on Multimedia (PCM), (2014). (Paper PDF)(Slide PDF)
Keiji Yanai, Yoshiyuki Kawano and Takamu Kaneko: Real-time Photo Mining from the Twitter Stream: Event Photo Discoveryand Food Photo Detection, IEEE International Symposium on Multimedia (ISM), (2014). (Paper PDF)(Slide PDF)
2013
Yoshiyuki Kawano and Keiji Yanai: Real-time Mobile Food Recognition System, CVPR International Workshop on Mobile Vision (IWMV), (2013). (Paper PDF)(Slide PDF)
Takamu Kaneko and Keiji Yanai: Visual Event Mining from Geo-tweet Photos, IEEE ICME Workshop on Social Multimedia Research (SMMR), (2013). (Paper PDF)(Slide PDF)
Yoshiyuki Kawano, Takanori Sato, Takuma Maruyama and Keiji Yanai: MiruRecipe: A Mobile Cooking Recipe Recommendation System with Food Ingredient Recognition, IEEE International Conference on Multimedia and Expo (ICME), (demo paper), (2013). (Paper PDF)(Slide PDF)
Takamu Kaneko, Hiroyoshi Harada and Keiji Yanai: Twitter Visual Event Mining System, IEEE International Conference on Multimedia and Expo (ICME), (demo paper), (2013). (Paper PDF)(Slide PDF)
Do Hang Nga and Keiji Yanai: Large-scale Web Video Shot Ranking Based on Visual Features and Tag Co-occurrence, ACM Multimedia, (2013). (Paper PDF)(Slide PDF)
Masaya Okamoto and Keiji Yanai: Summarization of Egocentric Moving Videos for Generating Walking Route Guidance, Pacific-rim Symposium on Image and Vision Technology, (2013/10). (Paper PDF)(Slide PDF)
Yoshiyuki Kawano and Keiji Yanai: Rapid Mobile Food Recognition using Fisher Vector, Asian Conference on Pattern Recognition, (2013/11). (Paper PDF)(Slide PDF)
Do Hang Nga and Keiji Yanai: A Dense SURF and Triangulation based Spatio-Temporal Feature for Action Recognition, International Multimedia Modeling Conference (MMM), (2014). (Paper PDF)(Slide PDF)
Yoshiyuki Kawano and Keiji Yanai: FoodCam: A Real-time Mobile Food Recognition System employing Fisher Vector, International Multimedia Modeling Conference (MMM), (2014). (Paper PDF)(Slide PDF)
2012
Keiji Yanai: World Seer: A Realtime Geo-Tweet Photo Mapping System, ACM International Conference on Multimedia Retrieval (ICMR) (demo paper), (2012). (Paper PDF)(Slide PDF)
Do Hang Nga and Keiji Yanai: Automatic Collection of Web Video Shots Corresponding to Specific Actions using Web Images, CVPR Workshop on Large-Scale Video Search and Mining (LSVSM), (2012). (Paper PDF)(Slide PDF)
Yuji Matsuda, Hajime Hoashi and Keiji Yanai: Recognition of Multiple-Food Images by Detecting Candidate Regions, IEEE International Conference on Multimedia and Expo (ICME), (2012). (Paper PDF)(Slide PDF)
Yusuke Nakaji and Keiji Yanai: Visualization of Real World Events with Geotagged Tweet Photos, IEEE ICME Workshop on Social Media Computing (SMC), (2012). (Paper PDF)(Slide PDF)
Do Hang Nga and Keiji Yanai: Automatically Extracting Relevant Video Shots of Specific Actions from the Web, Greater Tokyo Area Multimedia/Vision Workshop, (2012). (Slide PDF)
Yuuya Kohara and Keiji Yanai: Visual Analysis on Relations between Nouns and Adjectives Using a Large Number of Web Images, International Workshop on Modern Science and Technology (IWMST), (2012). (Paper PDF)(Slide PDF)
Takuma Maruyama and Keiji Yanai: Real-time Mobile Recipe Suggestion System using Food Ingredient Recognition, ACM SIGMM Workshop on Interactive Multimedia on Mobile and Portable Devices (IMMPD), (2012). (Paper PDF)(Slide PDF)
Yuji Matsuda and Keiji Yanai: Multiple-Food Recognition Considering Co-occurrence Employing Manifold Ranking, IAPR International Conference on Pattern Recognition (ICPR), (2012). (Paper PDF)(Slide PDF)
Yuya Kohara and Keiji Yanai: Visual Analysis of Tag Co-occurrence on Nouns and Adjectives, International Conference on Multimedia Modeling, (2012). (Paper PDF)(Slide PDF)
2011
Do Hang Nga and Keiji Yanai: Automatic Construction of an Action Video Shot Database using Web Videos, International Conference on Computer Vision (ICCV), (2011/11). (Paper PDF)(Slide PDF)
Kohya Okuyama and Keiji Yanai: A Travel Planning System Based on Travel Trajectories Extracted from a Large Number of Geotagged Photos on the Web, Proc. of Pacific-Rim Conference on Multimedia (PCM), (2011/12). (Paper PDF)(Slide PDF)
2010
Keita Yaegashi and Keiji Yanai: Geotagged Photo Recognition using Corresponding Aerial Photos with Multiple Kernel Learning, IAPR International Conference on Pattern Recognition (ICPR), (2010/08). (Paper PDF)(Slide PDF)
Akitsugu Noguchi and Keiji Yanai: A SURF-based Spatio-Temporal Feature for Feature-fusion-based Action Recognition, ECCV WS on Human Motion: Understanding, Modeling, Capture and Animation , (2010/10). (Paper PDF)(Slide PDF)
Keita Yaegashi and Keiji Yanai: Geotagged Image Recognition by Combining Three Different Kinds of Geolocation Features, Asian Conference on Computer Vision (ACCV), (2010/11). (Paper PDF)(Slide PDF)
Yuta Akima, Hidetoshi Kawakubo and Keiji Yanai: Automatic Construction of A Folksonomy-based Visual Ontology, The Sixth IEEE International Workshop on Multimedia Information Processing and Retrieval (MIPR2010), (2010/12). (Paper PDF)(Slide PDF)
Hajime Hoashi and Keiji Yanai: Image Recognition of 85 Food Categories by Feature Fusion, The second Workshop on Multimedia for Cooking and Eating Activities, (2010/12). (Paper PDF)(Slide PDF)
Hidetoshi Kawakubo and Keiji Yanai: GeoVisualRank: A Ranking Method of Geotagged Images Considering Visual Similarity and Geo-location Proximity, ACM WWW Conference, (2011/03). (Paper PDF)
2009
Keiji Yanai and Bigyu Qiu: Mining Cultural Differences from a Large Number of Geotagged Photos, ACM WWW Conf., pp.1173-1174, (2009). (Paper PDF)(Slide PDF)
Keiji Yanai: Web Image Gathering with Region-based Bag-of-Features and Multiple Instance Learning, IEEE International Conference on Multimedia and Expo, (2009). (Paper PDF)(Slide PDF)
Hidetoshi Kawakubo and Keiji Yanai: An Analysis of the Relation between Visual Concepts and Geo-locations using Geotagged Images on the Web, IEEE ICME WS on Internet Multimedia Search and Mining, (2009). (Paper PDF)(Slide PDF)
Keiji Yanai, Hidetoshi Kawakubo and Qiu Bingyu: A Visual Analysis of the Relationship between Word Concepts and Geographical Locations, ACM CIVR, (2009). (Paper PDF)(Slide PDF)
Akitsugu Noguchi, Keiji Yanai: Extracting Spatio-Temporal Local Features Considering Consecutuveness of Motions, Asian Conference on Computer Vision(ACCV), (2009). (Paper PDF)(Slide PDF)
Zhiyuan Tang, Akitsugu Noguchi and Keiji Yanai: UEC at TRECVID 2009 High Level Feature Task, TRECVID Workshop, (2009). (Paper PDF)
Taichi Joutou and Keiji Yanai: A Food Image Recognition System with Multiple Kernel Learning, International Conference on Image Processing (ICIP), (2009). (Paper PDF)(Slide PDF)
Keiji Yanai and Kobus Barnard: Region-based Automatic Web Image Selection, ACM International Conference on Multimedia Information Retrieval (MIR), (2010). (Paper PDF)(Slide PDF)
Akio Kitahara and Keiji Yanai: Associating faces and names in Japanese photo news articles, Progress in Informatics, pp.73-80, (2010). (Paper PDF)