E. Zhixuan Zeng

According to our database, E. Zhixuan Zeng authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring.

E. Zhixuan Zeng, Ashkan Ebadi, Adrian Florea, Alexander Wong

Sensors, March, 2024

2023

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

E. Zhixuan Zeng, Hayden Gunraj, Sheldon Fernandez, Alexander Wong

CoRR, 2023

ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping.

E. Zhixuan Zeng, Yuhao Chen, Alexander Wong

CoRR, 2023

MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy.

Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Robbie Meyer, Maximilian Gilles, Alexander Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

MMRNet: Improving Reliability for Multimodal Computer Vision for Bin Picking via Multimodal Redundancy.

Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong

CoRR, 2022

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.

E. Zhixuan Zeng, Adrian Florea, Alexander Wong

CoRR, 2022

MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis.

Maximilian Gilles, Yuhao Chen, Tim Robin Winter, E. Zhixuan Zeng, Alexander Wong

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

MetaGraspNet: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis.

Yuhao Chen, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong

CoRR, 2021