Emily ZhiXuan Zeng

University of Waterloo.

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I am Emily Zhixuan Zeng.

PhD student focusing on Machine Learning and Computer Vision,

University of Waterloo.

selected publications


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    MetaGraspNet: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis
    Yuhao Chen , Maximilian Gilles , E Zhixuan Zeng, and 1 more author
    In 2022 IEEE CASE , 2022
  2. shapeshift.jpg
    ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping
    E Zhixuan Zeng, Yuhao Chen , and Alexander Wong
    In WICV workshop , 2023
  3. https://i.imgur.com/4sfJMv9.png
    Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability
    E Zhixuan Zeng*, Hayden Gunraj* , Sheldon Fernandez , and 1 more author
    In XAI4CV workshop , 2023
  4. mmrnet.png
    MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy
    Yuhao Chen , Hayden Gunraj , E Zhixuan Zeng, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023

Work experience

  1. assets/img/Nvidia_logo.png
    May-August 2021
    NVIDIA - Autonomous vehicle

    Incorporated synthetic data for training lane detection model to target challenging scenarios

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    May-August 2020
    NVIDIA - Autonomous vehicle

    Time series light signal detection for autonomous vehicles

  3. https://pbs.twimg.com/profile_images/925511306844635136/YwGJnw20_400x400.jpg
    Sept-Dec 2019
    Miovision

    Automating data ingest for maximum training improvement

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    Jan-April 2019
    Synapse Technology

    Developed and analyzed CNN models for detecting threats from x-ray scans

Projects

  1. https://i.imgur.com/4sfJMv9.png
    Second order XAI

    Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability

  2. /assets/img/publication_preview/drop_item.jpg
    MetaGraspNet

    Robotic Grasping Dataset and object pose estimation via superquadrics

  3. /assets/img/publication_preview/warp_example_base.jpg
    COVID-Net US-X

    Enhanced Deep Neural Network for Detection of COVID-19 Patient Cases from Convex Ultrasound Imaging Through Extended Linear-Convex Ultrasound Augmentation Learning

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    AutoRead

    BASc Capstone Project. The dramatic automatic audiobook maker. Using the power of text to speach, we seek to generate suitably dramatic readings for fiction novels. Uses fully automated dataset generation for training a custom text to speach model.