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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. Email / Google Scholar / Github / LinkedIn / Twitter |
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paper (coming soon) / project / code A world foundation model for Physical AI builders — fully open and adaptable. |
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paper / project / code Multicontrol models to generate world states across different environments and lighting using ground-truth and structured inputs. |
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Best of CES, Best of AI, CNET 2025 paper / project / code / video A world foundation model platform to advance the development of autonomous systems. |
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ICCV, 2023. Best Paper Honorable Mention paper / project / dataset / code A new task, model, and dataset for image segmentation. |
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ECCV, 2022. paper / code / blog A plain, non-hierarchical Vision Transformer (ViT) as a backbone network for object detection. |
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CVPR, 2022. paper / code A pure ConvNet model constructed entirely from standard ConvNet modules. ConvNeXt is accurate, efficient, scalable and very simple in design. |
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ICDM, 2020. paper / code A novel semi-supervised attention-based deep representation model that learns context-aware spatiotemporal representations. |
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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. |
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