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 Kirillov1,2,4, Eric Mintun2, Nikhila Ravi1,2, 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.