saguar1

YANAI Lab

Yanai Laboratory, Department of Computer Science, The University of Electro-Communications, Tokyo
Publications > Yanai Lab > Department of Computer Science > The Univsity of Electro-Communications  

Publications

2023

    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)
    • 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)

    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, Daichi Horita, Wataru Shimoda and Keiji Yanai: Magical Rice Bowl: Real-time Food Category Changer, ACM Multimedia, (2018). (Paper PDF) (Slide 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 Discovery and 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)