E. Zhixuan Zeng
Orcid: 0000-0002-8034-596X
According to our database1,
E. Zhixuan Zeng
authored at least 11 papers
between 2021 and 2024.
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Bibliography
2024
MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping.
IEEE Trans Autom. Sci. Eng., July, 2024
COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring.
Sensors, March, 2024
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts.
CoRR, 2024
2023
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability.
CoRR, 2023
CoRR, 2023
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy.
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.
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.
CoRR, 2022
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis.
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.
CoRR, 2021