Hanzi Mao

Hanzi Mao

I am a research scientist at Nvidia Deep Imagination Research. Before that I was a research scientist at Fundamental AI Research (FAIR), Meta. I obtained my Ph.D. in Computer Science from Texas A&M University, under the supervision of Nick Duffield.

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Selected Publications

	Segment Anything Alexander Kirillov^1,2,4, Eric Mintun², Nikhila Ravi^1,2, Hanzi Mao², Chloe Rolland³, Laura Gustafson³, Tete Xiao³, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollar⁴, Ross Girshick⁴ ICCV, 2023. Best Paper Honorable Mention paper / project / dataset / code A new task, model, and dataset for image segmentation.
	Exploring Plain Vision Transformer Backbones for Object Detection Yanghao Li, Hanzi Mao, Ross Girshick†, Kaiming He† ECCV, 2022. paper / code / blog A plain, non-hierarchical Vision Transformer (ViT) as a backbone network for object detection.
	A ConvNet for the 2020s Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie CVPR, 2022. paper / code A pure ConvNet model constructed entirely from standard ConvNet modules. ConvNeXt is accurate, efficient, scalable and very simple in design.
	Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis Hanzi Mao, Xi Liu, Nick Duffield, Hao Yuan, Shuiwang Ji, Binayak Mohanty ICDM, 2020. paper / code A novel semi-supervised attention-based deep representation model that learns context-aware spatiotemporal representations.
	Gap Filling of High- Resolution Soil Moisture for SMAP/Sentinel-1: A Two-layer Machine Learning-based Framework Hanzi Mao, Dhruva Kathuria, Nick Duffield, Binayak Mohanty Water Resources Research, 2019. paper / code A new gap‐filled soil moisture product to address the poor spatial and temporal coverage of the SMAP/Sentinel‐1 product.