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2020 – today
- 2024
[j22]Kota Izumi, Keiji Yanai:
CLIPFontDraw: Stylizing Fonts With CLIP. IEEE Access 12: 154811-154822 (2024)- [j21]Honghui Yuan, Keiji Yanai:
Multi-Style Shape Matching GAN for Text Images. IEICE Trans. Inf. Syst. 107(4): 505-514 (2024) - [c185]Jing Yang
, Junwen Chen, Keiji Yanai:
Improving Cross-Modal Recipe Embeddings with Cross Decoder. ICDAR@ICMR 2024: 1-4 - [c184]Jing Yang, Junwen Chen, Keiji Yanai:
RecipeSD: Injecting Recipe into Food Image Synthesis with Stable Diffusion. MCGE@MM 2024: 54-62 - [c183]Junwen Chen, Yingcheng Wang, Keiji Yanai:
HOI as Embeddings: Advancements of Model Representation Capability in Human-Object Interaction Detection. MIPR 2024: 116-122 - [c182]Yuma Honbu, Keiji Yanai:
Training-Free Region Prediction with Stable Diffusion. MMM (4) 2024: 17-31 - 2023
- [c181]Yingcheng Wang, Junwen Chen, Keiji Yanai:
HowToEat: Exploring Human Object Interaction and Eating Action in Eating Scenarios. MADiMa@MM 2023: 71-78 - [c180]Kento Terauchi, Keiji Yanai:
CalorieCam360: Simultaneous Eating Action Recognition of Multiple People Using an Omnidirectional Camera. ICMR 2023: 644-648 - [c179]Stavroula G. Mougiakakou, Keiji Yanai, Dario Allegra:
MADiMa '23: 8th International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia 2023: 9726-9727 - [c178]Zhongtao Chen, Yuma Honbu, Keiji Yanai:
Mask-based Food Image Synthesis with Cross-Modal Recipe Embeddings. MMAsia 2023: 46:1-46:7 - [c177]Ryota Kaji, Keiji Yanai:
VQ-VDM: Video Diffusion Models with 3D VQGAN. MMAsia 2023: 90:1-90:5 - [c176]Jingbin Xu, Junwen Chen, Keiji Yanai:
Contextual Associated Triplet Queries for Panoptic Scene Graph Generation. MMAsia 2023: 100:1-100:5 - [c175]Jing Yang, Junwen Chen, Keiji Yanai:
Transformer-Based Cross-Modal Recipe Embeddings with Large Batch Training. MMM (2) 2023: 471-482 - [c174]Daiki Shimizu, Keiji Yanai:
Virtual Try-On Considering Temporal Consistency for Videoconferencing. MMM (2) 2023: 758-763 - [c173]Junwen Chen, Keiji Yanai:
QAHOI: Query-Based Anchors for Human-Object Interaction Detection. MVA 2023: 1-5 - [e5]Stavroula G. Mougiakakou, Keiji Yanai, Dario Allegra:
Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, MADiMa 2023, Ottawa, ON, Canada, 29 October 2023. ACM 2023 [contents] - [i8]Junwen Chen, Yingcheng Wang, Keiji Yanai:
Focusing on what to decode and what to train: Efficient Training with HOI Split Decoders and Specific Target Guided DeNoising. CoRR abs/2307.02291 (2023) - 2022
- [j20]Gibran Benitez-Garcia, Hiroki Takahashi, Keiji Yanai:
Material Translation Based on Neural Style Transfer with Ideal Style Image Retrieval. Sensors 22(19): 7317 (2022) - [j19]Leonel Rosas-Arias, Gibran Benitez-Garcia, José Portillo-Portillo, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, Keiji Yanai:
FASSD-Net: Fast and Accurate Real-Time Semantic Segmentation for Embedded Systems. IEEE Trans. Intell. Transp. Syst. 23(9): 14349-14360 (2022) - [c172]Yuchen Qian, Kohei Yamamoto, Keiji Yanai:
StyleGAN-based CLIP-guided Image Shape Manipulation. CBMI 2022: 162-166 - [c171]Mana Takeda, Keiji Yanai:
Continual Learning in Vision Transformer. ICIP 2022: 616-620 - [c170]Yuma Honbu, Keiji Yanai:
Unseen Food Segmentation. ICMR 2022: 19-23 - [c169]Shu Naritomi, Keiji Yanai:
Real Scale Hungry Networks: Real Scale 3D Reconstruction of a Dish and a Plate using Implicit Function and a Single RGB-D Image. MADiMa @ ACM Multimedia 2022: 3-10 - [c168]Kohei Yamamoto, Keiji Yanai:
Text-based Image Editing for Food Images with CLIP. MADiMa @ ACM Multimedia 2022: 29-37 - [c167]Yuma Honbu, Keiji Yanai:
SetMealAsYouLike: Sketch-based Set Meal Image Synthesis with Plate Annotations. MADiMa @ ACM Multimedia 2022: 49-53 - [c166]Kento Adachi, Keiji Yanai:
DepthGrillCam: A Mobile Application for Real-time Eating Action Recording Using RGB-D Images. MADiMa @ ACM Multimedia 2022: 55-59 - [c165]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra:
MADiMa'22: 7th International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia 2022: 7414-7415 - [c164]Junwen Chen, Keiji Yanai:
Parallel Queries for Human-Object Interaction Detection. MMAsia 2022: 11:1-11:7 - [c163]Kota Izumi, Keiji Yanai:
Zero-Shot Font Style Transfer with a Differentiable Renderer. MMAsia 2022: 32:1-32:5 - [e4]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra:
Proceedings of the 7th International Workshop on Multimedia Assisted Dietary Management, MADiMa 2022, Lisboa, Portugal, 10 October 2022. ACM 2022, ISBN 978-1-4503-9502-1 [contents] - [e3]Shuqiang Jiang, Kiyoharu Aizawa, Phoebe Chen, Keiji Yanai:
Proceedings of the 4th ACM International Conference on Multimedia in Asia, MMAsia 2022, Tokyo, Japan, December 13-16, 2022. ACM 2022, ISBN 978-1-4503-9478-9 [contents] - [i7]Jing Yang, Junwen Chen, Keiji Yanai:
Transformer-based Cross-Modal Recipe Embeddings with Large Batch Training. CoRR abs/2205.04948 (2022) - 2021
- [c162]Kento Terauchi, Keiji Yanai:
Pose Sequence Generation with a GCN and an Initial Pose Generator. ACPR (1) 2021: 417-430 - [c161]Shu Naritomi, Gibran Benitez-Garcia, Keiji Yanai:
Ketchup As You Like: Drawing Editor for Foods. AIVR 2021: 207-209 - [c160]Kaimu Okamoto, Kento Adachi, Keiji Yanai:
Region-Based Food Calorie Estimation for Multiple-Dish Meals. CEA@ISMR 2021: 17-24 - [c159]Yuma Honbu, Keiji Yanai:
Few-Shot and Zero-Shot Semantic Segmentation for Food Images. CEA@ISMR 2021: 25-28 - [c158]Honghui Yuan, Keiji Yanai:
Multi-Style Transfer Generative Adversarial Network for Text Images. MIPR 2021: 63-69 - [c157]Shu Naritomi, Keiji Yanai:
Pop'n Food: 3D Food Model Estimation System from a Single Image. MIPR 2021: 223-226 - [c156]Gibran Benitez-Garcia, Keiji Yanai:
Ketchup GAN: A New Dataset for Realistic Synthesis of Letters on Food. MMArt&ACM@ICMR 2021: 8-12 - [c155]Shu Naritomi, Keiji Yanai:
3D Mesh Reconstruction of Foods from a Single Image. AIxFood @ ACM Multimedia 2021: 7-11 - [c154]Yu Sugiyama, Keiji Yanai:
Cross-Modal Recipe Embeddings by Disentangling Recipe Contents and Dish Styles. ACM Multimedia 2021: 2501-2509 - [i6]Junwen Chen, Keiji Yanai:
QAHOI: Query-Based Anchors for Human-Object Interaction Detection. CoRR abs/2112.08647 (2021) - 2020
- [j18]Wataru Shimoda, Keiji Yanai:
Weakly supervised semantic segmentation using distinct class specific saliency maps. Comput. Vis. Image Underst. 191: 102712 (2020) - [c153]Wataru Shimoda, Keiji Yanai:
Weakly-Supervised Plate And Food Region Segmentation. ICME 2020: 1-6 - [c152]Yuta Ide, Tsuyohito Araki, Ryunosuke Hamada, Kazunori Ohno, Keiji Yanai:
Rescue Dog Action Recognition by Integrating Ego-Centric Video, Sound and Sensor Information. ICPR Workshops (3) 2020: 321-333 - [c151]Kaimu Okamoto, Keiji Yanai:
UEC-FoodPix Complete: A Large-Scale Food Image Segmentation Dataset. ICPR Workshops (5) 2020: 647-659 - [c150]Mana Takeda, Gibran Benitez-Garcia, Keiji Yanai:
Training of Multiple and Mixed Tasks with a Single Network Using Feature Modulation. ICPR Workshops (2) 2020: 719-735 - [c149]Leonel Rosas-Arias, Gibran Benitez-Garcia, José Portillo-Portillo, Gabriel Sánchez-Pérez, Keiji Yanai:
Fast and Accurate Real-Time Semantic Segmentation with Dilated Asymmetric Convolutions. ICPR 2020: 2264-2271 - [c148]Gibran Benitez-Garcia, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, Keiji Yanai:
IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition. ICPR 2020: 4340-4347 - [c147]Jaehyeong Cho, Wataru Shimoda, Keiji Yanai:
Mask-based Style-Controlled Image Synthesis Using a Mask Style Encoder. ICPR 2020: 5176-5183 - [c146]Keiji Yanai, Daichi Horita, Jaehyeong Cho:
Food Image Generation and Translation and Its Application to Augmented Reality. MIPR 2020: 181-186 - [c145]Gibran Benitez-Garcia, Wataru Shimoda, Keiji Yanai:
Style Image Retrieval for Improving Material Translation Using Neural Style Transfer. MMArt&ACM@ICMR 2020: 1-6 - [c144]Takuro Karamatsu, Gibran Benitez-Garcia, Keiji Yanai, Seiichi Uchida:
Iconify: Converting Photographs into Icons. MMArt&ACM@ICMR 2020: 7-12 - [c143]Shu Naritomi, Keiji Yanai:
Hungry networks: 3D mesh reconstruction of a dish and a plate from a single dish image for estimating food volume. MMAsia 2020: 22:1-22:7 - [c142]Sosuke Mizuno, Keiji Yanai:
UEC at TRECVID 2020: INS and ActEV. TRECVID 2020 - [c141]Shu Naritomi, Keiji Yanai:
CalorieCaptorGlass: Food Calorie Estimation based on Actual Size using HoloLens and Deep Learning. VR Workshops 2020: 819-820 - [i5]Takuro Karamatsu, Gibran Benitez-Garcia, Keiji Yanai, Seiichi Uchida:
Iconify: Converting Photographs into Icons. CoRR abs/2004.03179 (2020) - [i4]Gibran Benitez-Garcia, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, Keiji Yanai:
IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition. CoRR abs/2005.02134 (2020)
2010 – 2019
- 2019
- [j17]Wataru Shimoda, Keiji Yanai:
Webly-Supervised Food Detection with Foodness Proposal. IEICE Trans. Inf. Syst. 102-D(7): 1230-1239 (2019) - [j16]Takumi Ege, Keiji Yanai:
Simultaneous Estimation of Dish Locations and Calories with Multi-Task Learning. IEICE Trans. Inf. Syst. 102-D(7): 1240-1246 (2019) - [j15]Benoit Huet, Qi Tian, Keiji Yanai:
Editorial for the ICMR 2018 special issue. Int. J. Multim. Inf. Retr. 8(1): 1-2 (2019) - [c140]Yuchen Wu, Runtong Zhang, Keiji Yanai:
Attention Guided Unsupervised Image-to-Image Translation with Progressively Growing Strategy. ACPR Workshops 2019: 85-99 - [c139]Asato Matsumoto, Keiji Yanai:
Continual Learning of Image Translation Networks Using Task-Dependent Weight Selection Masks. ACPR (2) 2019: 129-142 - [c138]Runtong Zhang, Yuchen Wu, Keiji Yanai:
Pre-trained and Shared Encoder in Cycle-Consistent Adversarial Networks to Improve Image Quality. ACPR (1) 2019: 312-325 - [c137]Daichi Horita, Keiji Yanai:
SSA-GAN: End-to-End Time-Lapse Video Generation with Spatial Self-Attention. ACPR (1) 2019: 625-638 - [c136]Keiji Yanai, Kaimu Okamoto, Tetsuya Nagano, Daichi Horita:
Large-Scale Twitter Food Photo Mining and Its Applications. BigMM 2019: 77-85 - [c135]Kaimu Okamoto, Keiji Yanai:
Analyzing Regional Food Trends with Geo-tagged Twitter Food Photos. CBMI 2019: 1-4 - [c134]Wataru Shimoda, Keiji Yanai:
Self-supervised Difference Detection for Refinement CRF and Seed Interpolation. CVPR Workshops 2019 - [c133]Zaira García-Nonoal, Keiji Yanai, Mariko Nakano, Antonio Arista-Jalife, Laura Cleofas-Sánchez, Héctor Pérez:
Mosquito Larvae Image Classification Based on DenseNet and Guided Grad-CAM. IbPRIA (2) 2019: 239-246 - [c132]Wataru Shimoda, Keiji Yanai:
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation. ICCV 2019: 5207-5216 - [c131]Kizashi Nakano, Daichi Horita, Nobuchika Sakata, Kiyoshi Kiyokawa, Keiji Yanai, Takuji Narumi:
DeepTaste: Augmented Reality Gustatory Manipulation with GAN-Based Real-Time Food-to-Food Translation. ISMAR 2019: 212-223 - [c130]Gibran Benitez-Garcia, Wataru Shimoda, Shin Matsuo, Keiji Yanai:
Partial Image Texture Translation Using Weakly-Supervised Semantic Segmentation. JSAI-isAI Workshops 2019: 387-401 - [c129]Tetsuya Nagano, Takumi Ege, Wataru Shimoda, Keiji Yanai:
A Large-Scale Analysis of Regional Tendency of Twitter Photos Using Only Image Features. MIPR 2019: 185-188 - [c128]Takumi Ege, Yoshikazu Ando, Ryosuke Tanno, Wataru Shimoda, Keiji Yanai:
Image-Based Estimation of Real Food Size for Accurate Food Calorie Estimation. MIPR 2019: 274-279 - [c127]Daichi Horita, Wataru Shimoda, Keiji Yanai:
Unseen Food Creation by Mixing Existing Food Images with Conditional StyleGAN. MADiMa @ ACM Multimedia 2019: 19-24 - [c126]Yoshikazu Ando, Takumi Ege, Jaehyeong Cho, Keiji Yanai:
DepthCalorieCam: A Mobile Application for Volume-Based FoodCalorie Estimation using Depth Cameras. MADiMa @ ACM Multimedia 2019: 76-81 - [c125]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. MADiMa @ ACM Multimedia 2019: 82-87 - [c124]Jaehyeong Cho, Wataru Shimoda, Keiji Yanai:
Ramen as You Like: Sketch-based Food Image Generation and Editing. ACM Multimedia 2019: 2217-2218 - [c123]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra:
MADiMA'19: 5th International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia 2019: 2722-2723 - [c122]Kizashi Nakano, Kiyoshi Kiyokawa, Daichi Horita, Keiji Yanai, Nobuchika Sakata, Takuji Narumi:
Enchanting Your Noodles: GAN-based Real-time Food-to-Food Translation and Its Impact on Vision-induced Gustatory Manipulation. VR 2019: 1096-1097 - [c121]Kizashi Nakano, Kiyoshi Kiyokawa, Daichi Horita, Keiji Yanai, Nobuchika Sakata, Takuji Narurni:
Enchanting Your Noodles: A Gustatory Manipulation Interface by Using GAN-based Real-time Food-to-Food Translation. VR 2019: 1339-1340 - [e2]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai:
Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, MADiMa @ ACM Multimedia 2019, Nice, France, October 21-25, 2019. ACM 2019, ISBN 978-1-4503-6916-9 [contents] - [i3]Wataru Shimoda, Keiji Yanai:
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation. CoRR abs/1911.01370 (2019) - 2018
- [j14]Takumi Ege, Keiji Yanai:
Image-Based Food Calorie Estimation Using Recipe Information. IEICE Trans. Inf. Syst. 101-D(5): 1333-1341 (2018) - [j13]Nevrez Imamoglu, Wataru Shimoda, Chi Zhang, Yuming Fang, Asako Kanezaki, Keiji Yanai, Yoshifumi Nishida:
An integration of bottom-up and top-down salient cues on RGB-D data: saliency from objectness versus non-objectness. Signal Image Video Process. 12(2): 307-314 (2018) - [c120]Yu Sugiyama, Keiji Yanai:
Word-Conditioned Image Style Transfer. ACCV Workshops 2018: 88-99 - [c119]Atsushi Narusawa, Wataru Shimoda, Keiji Yanai:
Font Style Transfer Using Neural Style Transfer and Unsupervised Cross-domain Transfer. ACCV Workshops 2018: 100-109 - [c118]Shu Naritomi, Ryosuke Tanno, Takumi Ege, Keiji Yanai:
FoodChangeLens: CNN-Based Food Transformation on HoloLens. AIVR 2018: 197-199 - [c117]Takumi Ege, Keiji Yanai:
Multi-task learning of dish detection and calorie estimation. MADiMa@IJCAI 2018: 53-58 - [c116]Daichi Horita, Ryosuke Tanno, Wataru Shimoda, Keiji Yanai:
Food category transfer with conditional cycleGAN and a large-scale food image dataset. MADiMa@IJCAI 2018: 67-70 - [c115]Yoshifumi Ito, Wataru Shimoda, Keiji Yanai:
Food image generation using a large amount of food images with conditional GAN: ramenGAN and recipeGAN. MADiMa@IJCAI 2018: 71-74 - [c114]Ryosuke Tanno, Daichi Horita, Wataru Shimoda, Keiji Yanai:
Magical Rice Bowl: A Real-time Food Category Changer. ACM Multimedia 2018: 1244-1246 - [c113]Ryosuke Tanno, Takumi Ege, Keiji Yanai:
AR DeepCalorieCam: An iOS App for Food Calorie Estimation with Augmented Reality. MMM (2) 2018: 352-356 - [c112]Ryosuke Tanno, Takumi Ege, Keiji Yanai:
AR DeepCalorieCam V2: food calorie estimation with CNN and AR-based actual size estimation. VRST 2018: 46:1-46:2 - [c111]Daichi Horita, Jaehyeong Cho, Takumi Ege, Keiji Yanai:
Ramen spoon eraser: CNN-based photo transformation for improving attractiveness of ramen photos. VRST 2018: 115:1-115:2 - [i2]Nevrez Imamoglu, Wataru Shimoda, Chi Zhang, Yuming Fang, Asako Kanezaki, Keiji Yanai, Yoshifumi Nishida:
An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness. CoRR abs/1807.01532 (2018) - 2017
- [j12]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Edward Sazonov:
Guest Editorial Nutrition Informatics: From Food Monitoring to Dietary Management. IEEE J. Biomed. Health Informatics 21(3): 585-587 (2017) - [c110]Wataru Shimoda, Keiji Yanai:
Predicting Segmentation "Easiness" from the Consistency for Weakly-Supervised Segmentation. ACPR 2017: 292-297 - [c109]Takumi Ege, Keiji Yanai:
Estimating Food Calories for Multiple-Dish Food Photos. ACPR 2017: 646-651 - [c108]Shin Matsuo, Wataru Shimoda, Keiji Yanai:
Twitter Photo Geo-Localization Using Both Textual and Visual Features. BigMM 2017: 22-25 - [c107]Wataru Shimoda, Keiji Yanai:
Learning Food Image Similarity for Food Image Retrieval. BigMM 2017: 165-168 - [c106]Gantugs Atarsaikhan, Brian Kenji Iwana, Atsushi Narusawa, Keiji Yanai, Seiichi Uchida:
Neural Font Style Transfer. WML@ICDAR 2017: 51-56 - [c105]Toshiki Nakamura, Anna Zhu, Keiji Yanai, Seiichi Uchida:
Scene Text Eraser. ICDAR 2017: 832-837 - [c104]Takumi Ege, Keiji Yanai:
Comparison of Two Approaches for Direct Food Calorie Estimation. ICIAP Workshops 2017: 453-461 - [c103]Keiji Yanai:
Unseen Style Transfer Based on a Conditional Fast Style Transfer Network. ICLR (Workshop) 2017 - [c102]Shin Matsuo, Wataru Shimoda, Keiji Yanai:
Partial style transfer using weakly supervised semantic segmentation. ICME Workshops 2017: 267-272 - [c101]Keiji Yanai, Ryosuke Tanno:
Conditional Fast Style Transfer Network. ICMR 2017: 434-437 - [c100]Takumi Ege, Keiji Yanai:
Image-Based Food Calorie Estimation Using Knowledge on Food Categories, Ingredients and Cooking Directions. ACM Multimedia (Thematic Workshops) 2017: 367-375 - [c99]Ryosuke Tanno, Shin Matsuo, Wataru Shimoda, Keiji Yanai:
DeepStyleCam: A Real-Time Style Transfer App on iOS. MMM (2) 2017: 446-449 - [c98]Takumi Ege, Keiji Yanai:
Simultaneous estimation of food categories and calories with multi-task CNN. MVA 2017: 198-201 - [i1]Toshiki Nakamura, Anna Zhu, Keiji Yanai, Seiichi Uchida:
Scene Text Eraser. CoRR abs/1705.02772 (2017) - 2016
- [j11]Do Hang Nga, Keiji Yanai:
Automatic Retrieval of Action Video Shots from the Web Using Density-Based Cluster Analysis and Outlier Detection. IEICE Trans. Inf. Syst. 99-D(11): 2788-2795 (2016) - [j10]Takamu Kaneko, Keiji Yanai:
Event photo mining from Twitter using keyword bursts and image clustering. Neurocomputing 172: 143-158 (2016) - [c97]Takao Kakimori, Makoto Okabe, Keiji Yanai, Rikio Onai:
A System to Help Amateurs Take Pictures of Delicious Looking Food. BigMM 2016: 456-461 - [c96]Wataru Shimoda, Keiji Yanai:
Distinct Class-Specific Saliency Maps for Weakly Supervised Semantic Segmentation. ECCV (4) 2016: 218-234 - [c95]Wataru Shimoda, Keiji Yanai:
Weakly-supervised segmentation by combining CNN feature maps and object saliency maps. ICPR 2016: 1935-1940 - [c94]Shin Matsuo, Keiji Yanai:
CNN-based Style Vector for Style Image Retrieval. ICMR 2016: 309-312 - [c93]Wataru Shimoda, Keiji Yanai:
Foodness Proposal for Multiple Food Detection by Training of Single Food Images. MADiMa @ ACM Multimedia 2016: 13-21 - [c92]Koichi Okamoto, Keiji Yanai:
An Automatic Calorie Estimation System of Food Images on a Smartphone. MADiMa @ ACM Multimedia 2016: 63-70 - [c91]Ryosuke Tanno, Koichi Okamoto, Keiji Yanai:
DeepFoodCam: A DCNN-based Real-time Mobile Food Recognition System. MADiMa @ ACM Multimedia 2016: 89 - [c90]Keiji Yanai, Ryosuke Tanno, Koichi Okamoto:
Efficient Mobile Implementation of A CNN-based Object Recognition System. ACM Multimedia 2016: 362-366 - [c89]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai:
Overview of the ACM MultiMedia 2016 International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia 2016: 1489-1490 - [c88]Koichi Okamoto, Keiji Yanai:
GrillCam: A Real-Time Eating Action Recognition System. MMM (2) 2016: 331-335 - [c87]Ryosuke Tanno, Keiji Yanai:
Caffe2C: A Framework for Easy Implementation of CNN-based Mobile Applications. MobiQuitous (Adjunct Proceedings) 2016: 159-164 - [c86]Natsagdorj Choijilsuren, Keiji Yanai:
UEC at TRECVID 2016 AVS task. TRECVID 2016 - [c85]Takamu Kaneko, Keiji Yanai:
Visual Event Mining from the Twitter Stream. WWW (Companion Volume) 2016: 51-52 - [e1]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai:
Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management, MADiMa @ ACM Multimedia 2016, Amsterdam, The Netherlands, October 16, 2016. ACM 2016, ISBN 978-1-4503-4520-0 [contents] - 2015
- [j9]Do Hang Nga, Keiji Yanai:
VisualTextualRank: An Extension of VisualRank to Large-Scale Video Shot Extraction Exploiting Tag Co-occurrence. IEICE Trans. Inf. Syst. 98-D(1): 166-172 (2015) - [j8]Yoshiyuki Kawano, Keiji Yanai:
FoodCam: A real-time food recognition system on a smartphone. Multim. Tools Appl. 74(14): 5263-5287 (2015) - [c84]Yoshiyuki Kawano, Keiji Yanai:
Low-bit representation of linear classifier weights for mobile large-scale image classification. ACPR 2015: 489-493 - [c83]Wataru Shimoda, Keiji Yanai:
CNN-Based Food Image Segmentation Without Pixel-Wise Annotation. ICIAP Workshops 2015: 449-457 - [c82]Wataru Shimoda, Keiji Yanai:
A visual analysis on recognizability and discriminability of onomatopoeia words with DCNN features. ICME 2015: 1-6 - [c81]Keiji Yanai, Yoshiyuki Kawano:
Food image recognition using deep convolutional network with pre-training and fine-tuning. ICME Workshops 2015: 1-6 - [c80]Takamu Kaneko, Do Hang Nga, Keiji Yanai:
Twitter Event Photo Detection Using both Geotagged Tweets and Non-geotagged Photo Tweets. PCM (2) 2015: 128-138 - [c79]Do Hang Nga, Keiji Yanai:
Automatic Construction of Action Datasets Using Web Videos with Density-Based Cluster Analysis and Outlier Detection. PSIVT 2015: 160-172 - [c78]Takao Kakimori, Makoto Okabe, Keiji Yanai, Rikio Onai:
A system to support the amateurs to take a delicious-looking picture of foods. SIGGRAPH Asia Mobile Graphics and Interactive Applications 2015: 28:1 - 2014
- [j7]Do Hang Nga, Keiji Yanai:
Automatic extraction of relevant video shots of specific actions exploiting Web data. Comput. Vis. Image Underst. 118: 2-15 (2014) - [j6]Keiji Yanai, Takuma Maruyama, Yoshiyuki Kawano:
A Cooking Recipe Recommendation System with Visual Recognition of Food Ingredients. Int. J. Interact. Mob. Technol. 8(2): 28-34 (2014) - [j5]Yoshiyuki Kawano, Keiji Yanai:
ILSVRC on a Smartphone. Inf. Media Technol. 9(3): 371-375 (2014) - [j4]Yoshiyuki Kawano, Keiji Yanai:
ILSVRC on a Smartphone. IPSJ Trans. Comput. Vis. Appl. 6: 83-87 (2014) - [c77]Do Hang Nga, Keiji Yanai:
Hand Detection and Tracking in Videos for Fine-Grained Action Recognition. ACCV Workshops (1) 2014: 19-34 - [c76]Yoshiyuki Kawano, Keiji Yanai:
Offline 1000-Class Classification on a Smartphone. CVPR Workshops 2014: 193-194 - [c75]Yoshiyuki Kawano, Keiji Yanai:
Automatic Expansion of a Food Image Dataset Leveraging Existing Categories with Domain Adaptation. ECCV Workshops (3) 2014: 3-17 - [c74]Yoshiyuki Kawano, Keiji Yanai:
Food image recognition with deep convolutional features. UbiComp Adjunct 2014: 589-593 - [c73]Koichi Okamoto, Keiji Yanai:
Real-time eating action recognition system on a smartphone. ICME Workshops 2014: 1-6 - [c72]Keiji Yanai, Takamu Kaneko, Yoshiyuki Kawano:
Real-Time Photo Mining from the Twitter Stream: Event Photo Discovery and Food Photo Detection. ISM 2014: 295-302 - [c71]Yoshiyuki Kawano, Keiji Yanai:
FoodCam-256: A Large-scale Real-time Mobile Food RecognitionSystem employing High-Dimensional Features and Compression of Classifier Weights. ACM Multimedia 2014: 761-762 - [c70]Yoshiyuki Kawano, Keiji Yanai:
FoodCam: A Real-Time Mobile Food Recognition System Employing Fisher Vector. MMM (2) 2014: 369-373 - [c69]Do Hang Nga, Keiji Yanai:
A Dense SURF and Triangulation Based Spatio-temporal Feature for Action Recognition. MMM (1) 2014: 375-387 - [c68]Keiji Yanai, Yoshiyuki Kawano:
Twitter Food Photo Mining and Analysis for One Hundred Kinds of Foods. PCM 2014: 22-32 - [c67]Keiji Yanai, Hiroyoshi Harada, Do Hang Nga:
UEC at TRECVID 2014 SIN task. TRECVID 2014 - 2013
- [c66]Yoshiyuki Kawano, Keiji Yanai:
Rapid Mobile Object Recognition Using Fisher Vector. ACPR 2013: 476-480 - [c65]Yoshiyuki Kawano, Keiji Yanai:
Real-Time Mobile Food Recognition System. CVPR Workshops 2013: 1-7 - [c64]Do Hang Nga, Keiji Yanai:
A Spatio-temporal Feature Based on Triangulation of Dense SURF. ICCV Workshops 2013: 420-427 - [c63]Takamu Kaneko, Hiroyoshi Harada, Keiji Yanai:
[Demo paper] twitter visual event mining system. ICME Workshops 2013: 1-2 - [c62]Takamu Kaneko, Keiji Yanai:
Visual event mining from geo-tweet photos. ICME Workshops 2013: 1-6 - [c61]Yoshiyuki Kawano, Takanori Sato, Takuma Maruyama, Keiji Yanai:
[Demo paper] mirurecipe: A mobile cooking recipe recommendation system with food ingredient recognition. ICME Workshops 2013: 1-2 - [c60]Keiji Yanai, Do Hang Nga:
UEC, Tokyo at MediaEval 2013 Retrieving Diverse Social Images Task. MediaEval 2013 - [c59]Do Hang Nga, Keiji Yanai:
Large-scale web video shot ranking based on visual features and tag co-occurrence. ACM Multimedia 2013: 525-528 - [c58]Yuya Kohara, Keiji Yanai:
Visual Analysis of Tag Co-occurrence on Nouns and Adjectives. MMM (1) 2013: 47-57 - [c57]Masaya Okamoto, Keiji Yanai:
Summarization of Egocentric Moving Videos for Generating Walking Route Guidance. PSIVT 2013: 431-442 - 2012
- [c56]Do Hang Nga, Keiji Yanai:
Automatic collection of Web video shots corresponding to specific actions using Web images. CVPR Workshops 2012: 15-20 - [c55]Yuji Matsuda, Hajime Hoashi, Keiji Yanai:
Recognition of Multiple-Food Images by Detecting Candidate Regions. ICME 2012: 25-30 - [c54]Yusuke Nakaji, Keiji Yanai:
Visualization of Real-World Events with Geotagged Tweet Photos. ICME Workshops 2012: 272-277 - [c53]Yuji Matsuda, Keiji Yanai:
Multiple-food recognition considering co-occurrence employing manifold ranking. ICPR 2012: 2017-2020 - [c52]Keiji Yanai:
World seer: a realtime geo-tweet photo mapping system. ICMR 2012: 65 - [c51]Takuma Maruyama, Yoshiyuki Kawano, Keiji Yanai:
Real-time mobile recipe recommendation system using food ingredient recognition. IMMPD@ACM Multimedia 2012: 27-34 - [c50]Kazuya Hizume, Keiji Yanai:
UEC at TRECVID 2012 SIN and MED task. TRECVID 2012 - 2011
- [c49]Do Hang Nga, Keiji Yanai:
Automatic construction of an action video shot database using web videos. ICCV 2011: 527-534 - [c48]Kazuya Hizume, Keiji Yanai:
UEC at TRECVID 2011 SIN and MED task. TRECVID 2011 - [c47]Hidetoshi Kawakubo, Keiji Yanai:
GeoVisualRank: a ranking method of geotagged imagesconsidering visual similarity and geo-location proximity. WWW (Companion Volume) 2011: 69-70 - 2010
- [c46]Keita Yaegashi, Keiji Yanai:
Geotagged Image Recognition by Combining Three Different Kinds of Geolocation Features. ACCV (2) 2010: 360-373 - [c45]Akitsugu Noguchi, Keiji Yanai:
A SURF-Based Spatio-Temporal Feature for Feature-Fusion-Based Action Recognition. ECCV Workshops (1) 2010: 153-167 - [c44]Keita Yaegashi, Keiji Yanai:
Geotagged Photo Recognition Using Corresponding Aerial Photos with Multiple Kernel Learning. ICPR 2010: 3272-3275 - [c43]Hajime Hoashi, Taichi Joutou, Keiji Yanai:
Image Recognition of 85 Food Categories by Feature Fusion. ISM 2010: 296-301 - [c42]Hidetoshi Kawakubo, Yuuta Akima, Keiji Yanai:
Automatic Construction of a Folksonomy-Based Visual Ontology. ISM 2010: 330-335 - [c41]Keiji Yanai, Kobus Barnard:
Region-based automatic web image selection. Multimedia Information Retrieval 2010: 305-312 - [c40]Yasushi Shimoda, Akitsugu Noguchi, Keiji Yanai:
UEC at TRECVID 2010 Semantic Indexing Task. TRECVID 2010 - [p1]Keiji Yanai, Bingyu Qiu:
Mining Regional Representative Photos from Consumer-Generated Geotagged Photos. Handbook of Social Network Technologies 2010: 303-316
2000 – 2009
- 2009
- [c39]Akitsugu Noguchi, Keiji Yanai:
Extracting Spatio-temporal Local Features Considering Consecutiveness of Motions. ACCV (2) 2009: 458-467 - [c38]Keiji Yanai, Hidetoshi Kawakubo, Bingyu Qiu:
A visual analysis of the relationship between word concepts and geographical locations. CIVR 2009 - [c37]Taichi Joutou, Keiji Yanai:
A food image recognition system with Multiple Kernel Learning. ICIP 2009: 285-288 - [c36]Keiji Yanai:
Web image gathering with region-based bag-of-features and multiple instance learning. ICME 2009: 450-453 - [c35]Hidetoshi Kawakubo, Keiji Yanai:
An analysis of the relation between visual concepts and geo-locations using geotagged images on the web. ICME 2009: 1644-1647 - [c34]Keiji Yanai, Keita Yaegashi, Bingyu Qiu:
Detecting cultural differences using consumer-generated geotagged photos. LocWeb 2009: 12 - [c33]Akio Kitahara, Keiji Yanai:
Detecting "In-Play" Photos in Sports News Photo Database. PCM 2009: 268-279 - [c32]Keita Yaegashi, Keiji Yanai:
Can Geotags Help Image Recognition?. PSIVT 2009: 361-373 - [c31]Zhiyuan Tang, Akitsugu Noguchi, Keiji Yanai:
UEC at TRECVID 2009 High Level Feature Task. TRECVID 2009 - [c30]Keiji Yanai, Bingyu Qiu:
Mining cultural differences from a large number of geotagged photos. WWW 2009: 1173-1174 - 2008
- [c29]Akio Kitahara, Taichi Joutou, Keiji Yanai:
Associating Faces and Names in Japanese Photo News Articles on the Web. AINA Workshops 2008: 1156-1161 - [c28]Keisuke Takada, Keiji Yanai:
Web video retrieval based on the Earth Mover's Distance by integrating color, motion and sound. ICIP 2008: 89-92 - [c27]Keiji Yanai:
Web image selection with PLSA. ICME 2008: 1373-1376 - [c26]Akitsugu Noguchi, Keiji Yanai:
Rushes summarization based on color, motion and face. TVS 2008: 139-143 - [c25]Keiji Yanai:
Web Image Gathering with a Part-Based Object Recognition Method. MMM 2008: 297-306 - [c24]Bingyu Qiu, Keiji Yanai:
Objects over the World. PCM 2008: 296-305 - [c23]Zhiyuan Tang, Keiji Yanai:
UEC at TRECVID 2008 High Level Feature Task. TRECVID 2008 - [c22]Keiji Yanai:
Automatic web image selection with a probabilistic latent topic model. WWW 2008: 1237-1238 - 2007
- [c21]Tatsuya Iyota, Keiji Yanai:
The Photo News Flusher: A Photo-News Clustering Browser. PCM 2007: 462-466 - [c20]Ounan Liu, Zhiyuan Tang, Keiji Yanai:
UEC at TRECVID 2007 High Level Feature Task. TRECVID 2007 - [c19]Keiji Yanai:
Image collector III: a web image-gathering system with bag-of-keypoints. WWW 2007: 1295-1296 - 2006
- [c18]Kobus Barnard, Keiji Yanai, Matthew Johnson, Prasad Gabbur:
Cross Modal Disambiguation. Toward Category-Level Object Recognition 2006: 238-257 - [c17]Keiji Yanai, Takehisa Hayashiyama:
Automatic "Go" record generation from a TV program. MMM 2006 - [c16]Keiji Yanai, Kobus Barnard:
Finding visual concepts by web image mining. WWW 2006: 923-924 - 2005
- [j3]Keiji Yanai:
Image Collector II: A System to Gather a Large Number of Images from the Web. IEICE Trans. Inf. Syst. 88-D(10): 2432-2436 (2005) - [c15]Keiji Yanai, Kobus Barnard:
Probabilistic web image gathering. Multimedia Information Retrieval 2005: 57-64 - [c14]Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, Kobus Barnard:
Evaluation strategies for image understanding and retrieval. Multimedia Information Retrieval 2005: 217-226 - [c13]Keiji Yanai, Kobus Barnard:
Image region entropy: a measure of "visualness" of web images associated with one concept. ACM Multimedia 2005: 419-422 - [c12]Keiji Yanai, Ounan Liu, Yuki Tsujita:
UEC at TRECVID 2005 High Level Feature Task - Web Images Meet TRECVID. TRECVID 2005 - 2004
- [j2]Keiji Yanai, Masaya Shindo, Kohei Noshita:
A fast image-gathering system from the World-Wide Web using a PC cluster. Image Vis. Comput. 22(1): 59-71 (2004) - 2003
- [c11]Keiji Yanai:
Image collector II: a system for gathering more than one thousand images from the Web for one keyword. ICME 2003: 785-788 - [c10]Keiji Yanai:
Generic image classification using visual knowledge on the web. ACM Multimedia 2003: 167-176 - [c9]Keiji Yanai:
Image Collector II : An Over-One-Thousand-Image-Gathering System. WWW (Posters) 2003 - [c8]Keiji Yanai:
Web Image Mining toward Generic Image Recognition. WWW (Posters) 2003 - 2002
- [j1]Keiji Yanai, Koichiro Deguchi:
Recognition of indoor images employing supporting relation between objects. Syst. Comput. Jpn. 33(11): 14-26 (2002) - [c7]Keiji Yanai:
An Experiment on Generic Image Classification Using Web Images. IEEE Pacific Rim Conference on Multimedia 2002: 303-310 - [c6]Keiji Yanai:
Image Classification by Web Images. PRICAI 2002: 613-614 - 2001
- [c5]Keiji Yanai:
Image Collector: An Image-Gathering System From The World-Wide Web Employing Keyword-Based Search Engines. ICME 2001 - [c4]Keiji Yanai, Masaya Shindo, Kohei Noshita:
A Fast Image-Gathering System on the World-Wide Web Using a PC Cluster. Web Intelligence 2001: 324-334 - 2000
- [c3]Keiji Yanai, Koichiro Deguchi:
Recognition of Indoor Images Employing Qualitative Model Fitting and Supporting Relation between Objects. ICPR 2000: 1964-1967 - [c2]Keiji Yanai, Koichiro Deguchi:
A Multi-Resolution Image Understanding System Based on Multi-agent Architecture for High-Resolution Images. MVA 2000: 291-294
1990 – 1999
- 1998
- [c1]Keiji Yanai, Koichiro Deguchi:
An architecture of object recognition system for various images based on multi-agents. ICPR 1998: 278-281
Coauthor Index
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