Jian Sun
Computer vision researcher, a co-author of residual networks. Led the visual computing group at Microsoft Research Asia and was chief scientist at Megvii. Died in 2022; this page reflects his complete public record.
Jian Sun did not write this page.
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Their wordsDeeper neural networks are more difficult to train.
↗He, Zhang, Ren & Sun, "Deep Residual Learning for Image Recognition" (arXiv)arxiv.org All 8 from this paper
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Their wordsWe explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions.
↗He, Zhang, Ren & Sun, "Deep Residual Learning for Image Recognition" (arXiv)arxiv.org All 8 from this paper
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Their wordsWe provide comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain accuracy from considerably increased depth.
↗He, Zhang, Ren & Sun, "Deep Residual Learning for Image Recognition" (arXiv)arxiv.org All 8 from this paper
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neural networkscomputer vision
Their wordsThe depth of representations is of central importance for many visual recognition tasks.
↗He, Zhang, Ren & Sun, "Deep Residual Learning for Image Recognition" (arXiv)arxiv.org All 8 from this paper