革新知能統合研究センター

コンピュータビジョン分野のトップカンファレンスであるInternational Conference on Computer Visio (ICCV) 2023において、AIPセンターから7本の論文が採択されました。

[Website] https://iccv2023.thecvf.com/

[Accepted Papers]

[Oral]

• Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer
  Shenghan Su (Shanghai Jiao Tong University)
  Lin Gu (RIKEN AIP)
  Yue Yang (Shanghai Jiao Tong University)
  Zenghui Zhang (Shanghai Jiao Tong university)
  Tatsuya Harada (The University of Tokyo / RIKEN AIP)

[Poster]

• Creative Birds: Self-Supervised Single-View 3D Style Transfer:
  Renke Wang (Nanjing University of Science and Technology)
  Guimin Que (Nanjing University of Science and Technology)
  Shuo Chen (RIKEN AIP)
  Xiang Li (Nankai University)
  Jun Li (Nanjing University of Science and Technology)
  Jian Yang (Nanjing University of Science and Technology)
• Distribution Shift Matters for Knowledge Distillation with Webly Collected Images
  Jialiang Tang (Nanjing University of Science and Technology)
  Shuo Chen (RIKEN AIP)
  Gang Niu (RIKEN AIP)
  Masashi Sugiyama (RIKEN AIP / The University of Tokyo)
  Chen Gong (Nanjing University of Science and Technology)
• Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis
  Jiahe Li (Beihang University)
  Jiawei Zhang (Beihang University)
  Xiao Bai (Beihang University)
  Jun Zhou (Griffith University)
  Lin Gu (RIKEN AIP)
• Multi-Label Knowledge Distillation
  Penghui Yang (Nanjing University of Aeronautics and Astronautics )
  Ming-Kun Xie (Nanjing University of Aeronautics and Astronautics )
  Chen-Chen Zong (Nanjing University of Aeronautics and Astronautics ) Lei Feng (Nanyang Technological University )
  Gang Niu (RIKEN AIP)
  Masashi Sugiyama (RIKEN AIP/The University of Tokyo )
  Sheng-Jun Huang (Nanjing University of Aeronautics and Astronautics )
• RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4D
  Shuhei Kurita (RIKEN AIP)
  Naoki Katsura (University of Tsukuba)
  Eri Onami (Nara Institute of Science and Technology)
• Will Large-scale Generative Models Corrupt Future Datasets?
  Ryuichiro Hataya (RIKEN ADSP / RIKEN AIP)
  Han Bao (Kyoto University)
  Hiromi Arai (RIKEN AIP)

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