Our paper was accepted for NeurIPS 2023

◼︎Bibliographic information Paul Yoo, Jiaxian Guo, Yutaka Matsuo, Shixiang Shane Gu. “DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views.” Neural Information Processing Systems (NeurIPS 2023) ◼︎Overview Synthesizing novel view images from a few views is a challenging but practical problem. Existing methods often struggle with producing high-quality results or necessitate per-object…

Our paper was accepted for Information Processing Society of Japan

◼︎Bibliographic information Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo: HAWK-Net: Hierarchical Attention Weighted Top-K Network for High-resolution Image Classification ◼︎Overview To handle high-resolution images on finite computational resources, many research has been conducted on hierarchical networks to load features in only the most meaningful local regions. However, it is difficult to determine the correct number and…

2023年Aセメスター「ディープテック起業実践演習」申込み受付中!

坂田教授・各務教授・田中准教授とともに、松尾教授が企画・監修を務める「ディープテック起業実践演習」の申込みを10/4まで受け付けております。多くのエキスパート登壇に加え、最終発表は総長の前で発表、さらに優秀者はコミュニティ“DICE”への参加の他、選抜式の海外研修などの機会があります。また、履修による単位の付与対象は、東京大学大学院生、東京工業大学大学院生その他の単位互換協定校在籍生約30-40名(所属研究科、学年不問)とします。多くの皆様からのチャレンジをお待ちしています!
詳細はこちらをご覧ください
https://entredu.t.u-tokyo.ac.jp/2023a/

★応募フォーム:https://forms.gle/2LKamuJbnfaVAw249

Our paper was accepted for Pattern Recognition Letters

Our paper was accepted for Pattern Recognition Letters   ■書誌情報 Bo Yang, Jianming Wu, Kazushi Ikeda, Gen Hattori, Masaru Sugano, Yusuke Iwasawa, Yutaka Matsuo. “Face-mask-aware Facial Expression Recognition based on Face Parsing and Vision Transformer”, Pattern Recognition Letters, In Press, Pre-proof (2022). https://doi.org/10.1016/j.patrec.2022.11.004 ■概要 As wearing face masks is becoming an embedded practice due to the…

Our paper was accepted for Advanced Robotics.

Our paper was accepted for Advanced Robotics 2021年9月に実施された,家庭環境でのサービスロボットに関する世界的な競技会WRS 2020 Partner Robot Challengeにおいて,当研究室発のチームが準優勝を収めた際の研究開発をまとめています. ■書誌情報 Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, Shixiang Shane Gu, Yusuke Iwasawa, Yutaka Matsuo. “World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile…

Our paper was accepted for EMNLP 2022.

Our paper was accepted for EMNLP 2022 [1件目] ■書誌情報 Machel Reid, Graham Neubig. “Learning to Model Editing Processes”, Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). ■概要 Most existing sequence generation models produce outputs in one pass, usually left-to-right. However, this is in contrast with a more natural approach that humans use in…

Our paper was accepted for NeurIPS 2022.

Our paper was accepted for NeurIPS 2022. [1本目] ◼︎書誌情報 Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo. “Langevin Autoencoders for Learning Deep Latent Variable Models”, Neural Information Processing Systems (NeurIPS 2022). ◼︎概要 Markov chain Monte Carlo (MCMC), such as Langevin dynamics, is valid for approximating intractable distributions. However, its usage is limited in the context…

当研究室の発表が MIRU2022にてMIRU優秀賞を受賞しました。

当研究室の発表が、第25回画像の認識・理解シンポジウム (MIRU2022) にて「MIRU優秀賞」を受賞しました。

タイトル:Pixel vs. Object: 変化キャプショニングにおける最適な画像表現についての研究

著者: 土居健人,濱口竜平,岩澤有祐,大西正輝,松尾豊,櫻田健
https://sites.google.com/view/miru2022/home/award#h.8ea1ax6uvq4w

Our paper was accepted for IJCAI-ECAI 2022 (Short).

Our paper was accepted for IJCAI-ECAI 2022 (Short). ■書誌情報 Takeshi Kojima, Yusuke Iwasawa, and Yutaka Matsuo. “Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment”, the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022) ■概要 Vision Transformer (ViT) is becoming more popular in…