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2020 – today
- 2023
[j32]Bowen Wang
, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Match them up: visually explainable few-shot image classification. Appl. Intell. 53(9): 10956-10977 (2023)- [j31]Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory. BMC Medical Informatics Decis. Mak. 23(1): 80 (2023) - [j30]Zekun Yang, Yuta Nakashima, Haruo Takemura:
Multi-modal humor segment prediction in video. Multim. Syst. 29(4): 2389-2398 (2023) - [c85]Noa Garcia, Yusuke Hirota, Yankun Wu, Yuta Nakashima:
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias. CVPR 2023: 6957-6966 - [c84]Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara:
Learning Bottleneck Concepts in Image Classification. CVPR 2023: 10962-10971 - [c83]Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation. CVPR 2023: 14277-14286 - [c82]Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Model-Agnostic Gender Debiased Image Captioning. CVPR 2023: 15191-15200 - [c81]Yankun Wu, Yuta Nakashima, Noa Garcia:
Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis. ICMR 2023: 199-208 - [c80]Guillaume Habault, Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Yuta Nakashima, Cathal Gurrin:
ICDAR'23: Intelligent Cross-Data Analysis and Retrieval. ICMR 2023: 674-675 - [c79]Zongshang Pang, Yuta Nakashima, Mayu Otani, Hajime Nagahara:
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization. WACV 2023: 2009-2018 - [e1]Guillaume Habault, Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Yuta Nakashima, Cathal Gurrin:
Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, ICDAR 2023, Thessaloniki, Greece, June 12-15, 2023. ACM 2023 [contents] - [i46]Hugo Lemarchant, Liangzi Li, Yiming Qian, Yuta Nakashima, Hajime Nagahara:
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers. CoRR abs/2301.13356 (2023) - [i45]Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation. CoRR abs/2304.01816 (2023) - [i44]Noa Garcia, Yusuke Hirota, Yankun Wu, Yuta Nakashima:
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias. CoRR abs/2304.02828 (2023) - [i43]Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Model-Agnostic Gender Debiased Image Captioning. CoRR abs/2304.03693 (2023) - [i42]Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara:
Learning Bottleneck Concepts in Image Classification. CoRR abs/2304.10131 (2023) - [i41]Yankun Wu, Yuta Nakashima, Noa Garcia:
Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis. CoRR abs/2304.10278 (2023) - 2022
- [j29]Chenhui Chu, Vinícius Oliveira, Felix Giovanni Virgo, Mayu Otani, Noa Garcia, Yuta Nakashima:
The semantic typology of visually grounded paraphrases. Comput. Vis. Image Underst. 215: 103333 (2022) - [j28]Sudhakar Kumawat, Manisha Verma, Yuta Nakashima, Shanmuganathan Raman:
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4839-4851 (2022) - [j27]Felix Giovanni Virgo, Chenhui Chu, Takaya Ogawa, Koji Tanaka, Kazuki Ashihara, Yuta Nakashima, Noriko Takemura, Hajime Nagahara, Takao Fujikawa:
Information Extraction from Public Meeting Articles. SN Comput. Sci. 3(4): 285 (2022) - [j26]Koji Tanaka, Chenhui Chu, Tomoyuki Kajiwara, Yuta Nakashima, Noriko Takemura, Hajime Nagahara, Takao Fujikawa:
Corpus Construction for Historical Newspapers: A Case Study on Public Meeting Corpus Construction Using OCR Error Correction. SN Comput. Sci. 3(6): 489 (2022) - [c78]Manisha Verma, Yuta Nakashima, Noriko Takemura, Hajime Nagahara:
Multi-label Disengagement and Behavior Prediction in Online Learning. AIED (1) 2022: 633-639 - [c77]Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Quantifying Societal Bias Amplification in Image Captioning. CVPR 2022: 13440-13449 - [c76]Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai:
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. CVPR 2022: 21044-21053 - [c75]Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Optimal Correction Cost for Object Detection Evaluation. CVPR 2022: 21075-21083 - [c74]Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Gender and Racial Bias in Visual Question Answering Datasets. FAccT 2022: 1280-1292 - [c73]Haruya Suzuki, Sora Tarumoto, Tomoyuki Kajiwara, Takashi Ninomiya, Yuta Nakashima, Hajime Nagahara:
Emotional Intensity Estimation based on Writer's Personality. AACL/IJCNLP 2022 (Student Research Workshop) 2022: 1-7 - [c72]Hitoshi Teshima, Naoki Wake, Diego Thomas, Yuta Nakashima, Hiroshi Kawasaki, Katsushi Ikeuchi:
Deep Gesture Generation for Social Robots Using Type-Specific Libraries. IROS 2022: 8286-8291 - [c71]Haruya Suzuki, Yuto Miyauchi, Kazuki Akiyama, Tomoyuki Kajiwara, Takashi Ninomiya, Noriko Takemura, Yuta Nakashima, Hajime Nagahara:
A Japanese Dataset for Subjective and Objective Sentiment Polarity Classification in Micro Blog Domain. LREC 2022: 7022-7028 - [c70]Anh-Khoa Vo, Yuta Nakashima:
Tone Classification for Political Advertising Video using Multimodal Cues. ICDAR@ICMR 2022: 17-21 - [c69]Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Cathal Gurrin, Yuta Nakashima, Mianxiong Dong:
ICDAR'22: Intelligent Cross-Data Analysis and Retrieval. ICMR 2022: 690-691 - [c68]Hitoshi Teshima, Naoki Wake, Diego Thomas, Yuta Nakashima, David Baumert, Hiroshi Kawasaki, Katsushi Ikeuchi:
Integration of Gesture Generation System Using Gesture Library with DIY Robot Design Kit. SII 2022: 361-366 - [i40]Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Optimal Correction Cost for Object Detection Evaluation. CoRR abs/2203.14438 (2022) - [i39]Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Quantifying Societal Bias Amplification in Image Captioning. CoRR abs/2203.15395 (2022) - [i38]Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai:
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. CoRR abs/2203.16062 (2022) - [i37]Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Gender and Racial Bias in Visual Question Answering Datasets. CoRR abs/2205.08148 (2022) - [i36]Tianwei Chen, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Hajime Nagahara:
Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks. CoRR abs/2208.10758 (2022) - [i35]Hitoshi Teshima, Naoki Wake, Diego Thomas, Yuta Nakashima, Hiroshi Kawasaki, Katsushi Ikeuchi:
Deep Gesture Generation for Social Robots Using Type-Specific Libraries. CoRR abs/2210.06790 (2022) - [i34]Zongshang Pang, Yuta Nakashima, Mayu Otani, Hajime Nagahara:
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization. CoRR abs/2211.10056 (2022) - 2021
- [j25]Wenjian Dong, Mayu Otani, Noa Garcia, Yuta Nakashima, Chenhui Chu:
Cross-Lingual Visual Grounding. IEEE Access 9: 349-358 (2021) - [j24]Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara, Yasushi Yagi:
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation. IEEE Access 9: 46810-46820 (2021) - [j23]Noboru Babaguchi, Isao Echizen, Junichi Yamagishi, Naoko Nitta, Yuta Nakashima, Kazuaki Nakamura, Kazuhiro Kono, Fuming Fang, Seiko Myojin, Zhenzhong Kuang, Huy H. Nguyen, Ngoc-Dung T. Tieu:
Preventing Fake Information Generation Against Media Clone Attacks. IEICE Trans. Inf. Syst. 104-D(1): 2-11 (2021) - [j22]Isao Echizen, Noboru Babaguchi, Junichi Yamagishi, Naoko Nitta, Yuta Nakashima, Kazuaki Nakamura, Kazuhiro Kono, Fuming Fang, Seiko Myojin, Zhenzhong Kuang, Huy H. Nguyen, Ngoc-Dung T. Tieu:
Generation and Detection of Media Clones. IEICE Trans. Inf. Syst. 104-D(1): 12-23 (2021) - [j21]Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura:
A comparative study of language transformers for video question answering. Neurocomputing 445: 121-133 (2021) - [c67]Jules Samaran, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
Attending Self-Attention: A Case Study of Visually Grounded Supervision in Vision-and-Language Transformers. ACL (student) 2021: 81-86 - [c66]Tianran Wu, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Haruo Takemura:
Transferring Domain-Agnostic Knowledge in Video Question Answering. BMVC 2021: 301 - [c65]Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
MTUNet: Few-Shot Image Classification With Visual Explanations. CVPR Workshops 2021: 2294-2298 - [c64]Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. ICCV 2021: 1026-1035 - [c63]Zechen Bai, Yuta Nakashima, Noa Garcia:
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation. ICCV 2021: 5402-5412 - [c62]Yusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Ittetsu Taniguchi, Takao Onoye:
Visual Question Answering with Textual Representations for Images. ICCVW 2021: 3147-3150 - [c61]Manisha Verma, Yuta Nakashima, Hirokazu Kobori, Ryota Takaoka, Noriko Takemura, Tsukasa Kimura, Hajime Nagahara, Masayuki Numao, Kazumitsu Shinohara:
Learners' Efficiency Prediction Using Facial Behavior Analysis. ICIP 2021: 1084-1088 - [c60]Akihiko Sayo, Diego Thomas, Hiroshi Kawasaki, Yuta Nakashima, Katsushi Ikeuchi:
PoseRN: A 2D Pose Refinement Network For Bias-Free Multi-View 3D Human Pose Estimation. ICIP 2021: 3233-3237 - [c59]Yoshiyuki Shoji, Kenro Aihara, Noriko Kando, Yuta Nakashima, Hiroaki Ohshima, Shio Takidaira, Masaki Ueta, Takehiro Yamamoto, Yusuke Yamamoto:
Museum Experience into a Souvenir: Generating Memorable Postcards from Guide Device Behavior Log. JCDL 2021: 120-129 - [c58]Cheikh Brahim El Vaigh, Noa Garcia, Benjamin Renoust, Chenhui Chu, Yuta Nakashima, Hajime Nagahara:
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph. ICMR 2021: 92-100 - [c57]Bowen Wang, Liangzhi Li, Yuta Nakashima, Takehiro Yamamoto, Hiroaki Ohshima, Yoshiyuki Shoji, Kenro Aihara, Noriko Kando:
Image Retrieval by Hierarchy-aware Deep Hashing Based on Multi-task Learning. ICMR 2021: 486-490 - [c56]Yiming Qian, Cheikh Brahim El Vaigh, Yuta Nakashima, Benjamin Renoust, Hajime Nagahara, Yutaka Fujioka:
Built Year Prediction from Buddha Face with Heterogeneous Labels. SUMAC @ ACM Multimedia 2021: 5-12 - [c55]Tomoyuki Kajiwara, Chenhui Chu, Noriko Takemura, Yuta Nakashima, Hajime Nagahara:
WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations. NAACL-HLT 2021: 2095-2104 - [c54]Yuta Kayatani, Zekun Yang, Mayu Otani, Noa Garcia, Chenhui Chu, Yuta Nakashima, Haruo Takemura:
The Laughing Machine: Predicting Humor in Video. WACV 2021: 2072-2081 - [i33]Vinay Damodaran, Sharanya Chakravarthy, Akshay Kumar, Anjana Umapathy, Teruko Mitamura, Yuta Nakashima, Noa Garcia, Chenhui Chu:
Understanding the Role of Scene Graphs in Visual Question Answering. CoRR abs/2101.05479 (2021) - [i32]Kiichi Goto, Taikan Suehara, Tamaki Yoshioka, Masakazu Kurata, Hajime Nagahara, Yuta Nakashima, Noriko Takemura, Masako Iwasaki:
Development of a Vertex Finding Algorithm using Recurrent Neural Network. CoRR abs/2101.11906 (2021) - [i31]Cheikh Brahim El Vaigh, Noa Garcia, Benjamin Renoust, Chenhui Chu, Yuta Nakashima, Hajime Nagahara:
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph. CoRR abs/2105.11852 (2021) - [i30]Yusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Ittetsu Taniguchi, Takao Onoye:
A Picture May Be Worth a Hundred Words for Visual Question Answering. CoRR abs/2106.13445 (2021) - [i29]Akihiko Sayo, Diego Thomas, Hiroshi Kawasaki, Yuta Nakashima, Katsushi Ikeuchi:
PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation. CoRR abs/2107.03000 (2021) - [i28]Yiming Qian, Cheikh Brahim El Vaigh, Yuta Nakashima, Benjamin Renoust, Hajime Nagahara, Yutaka Fujioka:
Built Year Prediction from Buddha Face with Heterogeneous Labels. CoRR abs/2109.00812 (2021) - [i27]Zechen Bai, Yuta Nakashima, Noa Garcia:
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation. CoRR abs/2109.05743 (2021) - [i26]Tianran Wu, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Haruo Takemura:
Transferring Domain-Agnostic Knowledge in Video Question Answering. CoRR abs/2110.13395 (2021) - 2020
- [j20]Kazuki Ashihara, Cheikh Brahim El Vaigh, Chenhui Chu, Benjamin Renoust, Noriko Okubo, Noriko Takemura, Yuta Nakashima, Hajime Nagahara:
Improving topic modeling through homophily for legal documents. Appl. Netw. Sci. 5(1): 77 (2020) - [j19]Noa Garcia, Benjamin Renoust, Yuta Nakashima:
ContextNet: representation and exploration for painting classification and retrieval in context. Int. J. Multim. Inf. Retr. 9(1): 17-30 (2020) - [j18]Mayu Otani, Chenhui Chu, Yuta Nakashima:
Visually grounded paraphrase identification via gating and phrase localization. Neurocomputing 404: 165-172 (2020) - [c53]Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
KnowIT VQA: Answering Knowledge-Based Questions about Videos. AAAI 2020: 10826-10834 - [c52]Sora Ohashi, Tomoyuki Kajiwara, Chenhui Chu, Noriko Takemura, Yuta Nakashima, Hajime Nagahara:
IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets. W-NUT@EMNLP 2020: 428-433 - [c51]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. BMVC 2020 - [c50]Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman:
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses. CVPR Workshops 2020: 4472-4479 - [c49]Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, Teruko Mitamura:
A Dataset and Baselines for Visual Question Answering on Art. ECCV Workshops (2) 2020: 92-108 - [c48]Nikolai Huckle, Noa Garcia, Yuta Nakashima:
Demographic Influences on Contemporary Art with Unsupervised Style Embeddings. ECCV Workshops (2) 2020: 126-142 - [c47]Noa Garcia, Yuta Nakashima:
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions. ECCV (18) 2020: 581-598 - [c46]Koji Tanaka, Chenhui Chu, Haolin Ren, Benjamin Renoust, Yuta Nakashima, Noriko Takemura, Hajime Nagahara, Takao Fujikawa:
Constructing a Public Meeting Corpus. LREC 2020: 1934-1940 - [c45]Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. MIDL 2020: 440-453 - [c44]Zhiqiang Guo, Huigui Liu, Zhenzhong Kuang, Yuta Nakashima, Noboru Babaguchi:
Privacy Sensitive Large-Margin Model for Face De-Identification. NCAA 2020: 488-501 - [c43]Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura:
BERT Representations for Video Question Answering. WACV 2020: 1545-1554 - [c42]Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki:
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. WACV 2020: 3645-3654 - [i25]Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
Knowledge-Based Visual Question Answering in Videos. CoRR abs/2004.08385 (2020) - [i24]Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman:
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses. CoRR abs/2004.10362 (2020) - [i23]Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. CoRR abs/2005.13337 (2020) - [i22]Noa Garcia, Yuta Nakashima:
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions. CoRR abs/2007.08751 (2020) - [i21]Sudhakar Kumawat, Manisha Verma, Yuta Nakashima, Shanmuganathan Raman:
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition. CoRR abs/2007.11365 (2020) - [i20]Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, Teruko Mitamura:
A Dataset and Baselines for Visual Question Answering on Art. CoRR abs/2008.12520 (2020) - [i19]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. CoRR abs/2009.00325 (2020) - [i18]Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. CoRR abs/2009.06138 (2020) - [i17]Nikolai Huckle, Noa Garcia, Yuta Nakashima:
Demographic Influences on Contemporary Art with Unsupervised Style Embeddings. CoRR abs/2009.14545 (2020) - [i16]Chenhui Chu, Yuto Takebayashi, Mishra Vipul, Yuta Nakashima:
Constructing a Visual Relationship Authenticity Dataset. CoRR abs/2010.05185 (2020) - [i15]Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara, Yasushi Yagi:
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation. CoRR abs/2010.09466 (2020) - [i14]Liangzhi Li, Manisha Verma, Bowen Wang, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns. CoRR abs/2011.03772 (2020) - [i13]Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Match Them Up: Visually Explainable Few-shot Image Classification. CoRR abs/2011.12527 (2020)
2010 – 2019
- 2019
- [c41]Kazuki Ashihara, Chenhui Chu, Benjamin Renoust, Noriko Okubo, Noriko Takemura, Yuta Nakashima, Hajime Nagahara:
Legal Information as a Complex Network: Improving Topic Modeling Through Homophily. COMPLEX NETWORKS (2) 2019: 28-39 - [c40]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Rethinking the Evaluation of Video Summaries. CVPR 2019: 7596-7604 - [c39]Manisha Verma, Hirokazu Kobori, Yuta Nakashima, Noriko Takemura, Hajime Nagahara:
Facial Expression Recognition with Skip-Connection to Leverage Low-Level Features. ICIP 2019: 51-55 - [c38]Noa Garcia, Benjamin Renoust, Yuta Nakashima:
Context-Aware Embeddings for Automatic Art Analysis. ICMR 2019: 25-33 - [c37]Benjamin Renoust, Matheus Oliveira Franca, Jacob Chan, Noa Garcia, Van Le, Ayaka Uesaka, Yuta Nakashima, Hajime Nagahara, Jueren Wang, Yutaka Fujioka:
Historical and Modern Features for Buddha Statue Classification. SUMAC @ ACM Multimedia 2019: 23-30 - [c36]Benjamin Renoust, Matheus Oliveira Franca, Jacob Chan, Van Le, Ayaka Uesaka, Yuta Nakashima, Hajime Nagahara, Jueren Wang, Yutaka Fujioka:
BUDA.ART: A Multimodal Content Based Analysis and Retrieval System for Buddha Statues. ACM Multimedia 2019: 1062-1064 - [c35]Takahiro Yamaguchi, Hajime Nagahara, Ken'ichi Morooka, Yuta Nakashima, Yuki Uranishi, Shoko Miyauchi, Ryo Kurazume:
3D Image Reconstruction from Multi-focus Microscopic Images. PSIVT Workshops 2019: 73-85 - [c34]Akihiko Sayo, Hayato Onizuka, Diego Thomas, Yuta Nakashima, Hiroshi Kawasaki, Katsushi Ikeuchi:
Human Shape Reconstruction with Loose Clothes from Partially Observed Data by Pose Specific Deformation. PSIVT 2019: 225-239 - [i12]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Rethinking the Evaluation of Video Summaries. CoRR abs/1903.11328 (2019) - [i11]Noa Garcia, Benjamin Renoust, Yuta Nakashima:
Context-Aware Embeddings for Automatic Art Analysis. CoRR abs/1904.04985 (2019) - [i10]Noa Garcia, Benjamin Renoust, Yuta Nakashima:
Understanding Art through Multi-Modal Retrieval in Paintings. CoRR abs/1904.10615 (2019) - [i9]Benjamin Renoust, Matheus Oliveira Franca, Jacob Chan, Van Le, Ayaka Uesaka, Yuta Nakashima, Hajime Nagahara, Jueren Wang, Yutaka Fujioka:
Historical and Modern Features for Buddha Statue Classification. CoRR abs/1909.12921 (2019) - [i8]Benjamin Renoust, Matheus Oliveira Franca, Jacob Chan, Van Le, Ayaka Uesaka, Yuta Nakashima, Hajime Nagahara, Jueren Wang, Yutaka Fujioka:
BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for Buddha Statues. CoRR abs/1909.12932 (2019) - [i7]Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
KnowIT VQA: Answering Knowledge-Based Questions about Videos. CoRR abs/1910.10706 (2019) - [i6]Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki:
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. CoRR abs/1912.05763 (2019) - 2018
- [j17]Mayu Otani, Atsushi Nishida, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya:
Finding Important People in a Video Using Deep Neural Networks with Conditional Random Fields. IEICE Trans. Inf. Syst. 101-D(10): 2509-2517 (2018) - [j16]Takahiro Tanaka, Norihiko Kawai, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya:
Iterative applications of image completion with CNN-based failure detection. J. Vis. Commun. Image Represent. 55: 56-66 (2018) - [j15]Antonio Tejero-de-Pablos, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya, Marko Linna, Esa Rahtu:
Summarization of User-Generated Sports Video by Using Deep Action Recognition Features. IEEE Trans. Multim. 20(8): 2000-2011 (2018) - [c33]Chenhui Chu, Mayu Otani, Yuta Nakashima:
iParaphrasing: Extracting Visually Grounded Paraphrases via an Image. COLING 2018: 3479-3492 - [c32]Ryosuke Kimura, Akihiko Sayo, Fabian Lorenzo Dayrit, Yuta Nakashima, Hiroshi Kawasaki, Ambrosio Blanco, Katsushi Ikeuchi:
Representing a Partially Observed Non-Rigid 3D Human Using Eigen-Texture and Eigen-Deformation. ICPR 2018: 1043-1048