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E. Zhixuan Zeng
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2020 – today
- 2024
- [j2]E. Zhixuan Zeng, Ashkan Ebadi, Adrian Florea, Alexander Wong:
COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring. Sensors 24(5): 1664 (2024) - [j1]Maximilian Gilles, Yuhao Chen, E. Zhixuan Zeng, Yifan Wu, Kai Furmans, Alexander Wong, Rania Rayyes:
MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping. IEEE Trans Autom. Sci. Eng. 21(3): 2302-2320 (2024) - [i9]E. Zhixuan Zeng, Yuhao Chen, Alexander Wong:
Understanding the Limitations of Diffusion Concept Algebra Through Food. CoRR abs/2406.03582 (2024) - [i8]E. Zhixuan Zeng, Yuhao Chen, Alexander Wong:
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts. CoRR abs/2410.21314 (2024) - [i7]Benjamin Ng, Chi-En Amy Tai, E. Zhixuan Zeng, Alexander Wong:
Enhancing Trust in Clinically Significant Prostate Cancer Prediction with Multiple Magnetic Resonance Imaging Modalities. CoRR abs/2411.04662 (2024) - 2023
- [c2]Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Robbie Meyer, Maximilian Gilles, Alexander Wong:
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy. CVPR Workshops 2023: 68-77 - [i6]E. Zhixuan Zeng, Yuhao Chen, Alexander Wong:
ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping. CoRR abs/2304.04861 (2023) - [i5]E. Zhixuan Zeng, Hayden Gunraj, Sheldon Fernandez, Alexander Wong:
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability. CoRR abs/2306.08780 (2023) - 2022
- [c1]Maximilian Gilles, Yuhao Chen, Tim Robin Winter, E. Zhixuan Zeng, Alexander Wong:
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis. CASE 2022: 220-227 - [i4]E. Zhixuan Zeng, Adrian Florea, Alexander Wong:
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. CoRR abs/2204.13851 (2022) - [i3]Maximilian Gilles, Yuhao Chen, Tim Robin Winter, E. Zhixuan Zeng, Alexander Wong:
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis. CoRR abs/2208.03963 (2022) - [i2]Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong:
MMRNet: Improving Reliability for Multimodal Computer Vision for Bin Picking via Multimodal Redundancy. CoRR abs/2210.10842 (2022) - 2021
- [i1]Yuhao Chen, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong:
MetaGraspNet: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis. CoRR abs/2112.14663 (2021)
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