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Kaiming He — all works

110 works · page 2 of 2 · 101–110 · ← Kaiming He

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  1. Video Generation Models Are General-Purpose Vision Learners ↗Lecture notes in computer science · no summary yetLetian Wang et al.2026
  2. Highly Compressed Tokenizer Can Generate Without Training ↗arXiv (Cornell University) · no summary yetLukas Lao Beyer et al.2025
  3. Denoising Hamiltonian Network for Physical Reasoning ↗arXiv (Cornell University) · no summary yetCongyue Deng et al.2025
  4. ラベルはニューラルアーキテクチャ探索に必要か?【JST・京大機械翻訳】 ↗Lecture notes in computer science · no summary yetLiu Chenxi et al.2020
  5. マスクR CNN【Powered by NICT】 ↗IEEE Conference Proceedings · no summary yetKaiming He et al.2017
  6. 画像認識のための深い残留学習【Powered by NICT】 ↗IEEE Conference Proceedings · no summary yetKaiming He et al.2016
  7. Overview Source Image A Target Image B ↗no summary yetKaiming He, Jian Sun2015
  8. 2. Depth Upsampling ↗no summary yetZiyang Ma et al.2015
  9. Statistical Image Completion ↗no summary yetKaiming He, Jian Sun2013
  10. Single image haze removal using dark channel prior,” CVPR ↗no summary yetKaiming He, Jian Sun, Xiaoou Tang2009

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