VIDEOS

ACCV2022 presentation video: Flare Transformer

ACCV2022 presentation video: Flare Transformer

  • 慶應義塾大学理工学部 情報工学科 杉浦孔明研究室 実世界知識を扱う機械知能の理論と応用を一体化し研究に取り組む

  • KEIO TECHNO-MALL 2022 ショートプレゼンテーション①「専門家予測を凌駕するAI太陽フレア予測技術と機械知能のグランドチャレンジ」

  • ACCV2022 presentation video: Visual Explanation Generation Based on Lambda Attention Branch Networks

  • ACCV2022 presentation video: Flare Transformer

  • ICIP2022 presentation video 15min: Relational Future Captioning Model

  • IROS21 presentation video 15min: Case Relation Transformer

  • IROS21 presentation video 15min: Target-dependent UNITER

  • Target-dependent UNITER: A Transformer-Based Multimodal Language Comprehension Model

  • Case Relation Transformer

  • Predicting and Attending to Damaging Collisions for Placing Everyday Objects

  • Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network

  • (Short version) Alleviating the Burden of Labeling: Sentence Generation by ABEN