E. Zhixuan Zeng

14 papers Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
SCALEX: Scalable Concept and Latent Exploration for Diffusion Models.
CoRR
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
2024 J jnl
COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring.
Sensors
E. Zhixuan Zeng, Ashkan Ebadi, Adrian Florea, Alexander Wong
2024 J jnl
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts.
CoRR
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
2024 J jnl
Enhancing Trust in Clinically Significant Prostate Cancer Prediction with Multiple Magnetic Resonance Imaging Modalities.
CoRR
Benjamin Ng, Chi-En Amy Tai, E. Zhixuan Zeng, Alexander Wong
2024 J jnl
MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping.
IEEE Trans Autom. Sci. Eng.
Maximilian Gilles, Yuhao Chen, E. Zhixuan Zeng, Yifan Wu, Kai Furmans, Alexander Wong, Rania Rayyes
2024 J jnl
Understanding the Limitations of Diffusion Concept Algebra Through Food.
CoRR
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
2023 J jnl
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability.
CoRR
E. Zhixuan Zeng, Hayden Gunraj, Sheldon Fernandez, Alexander Wong
2023 — conf
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy.
CVPR Workshops
Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Robbie Meyer, Maximilian Gilles, Alexander Wong
2023 J jnl
ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping.
CoRR
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
2022 J jnl
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
E. Zhixuan Zeng, Adrian Florea, Alexander Wong
2022 J jnl
MMRNet: Improving Reliability for Multimodal Computer Vision for Bin Picking via Multimodal Redundancy.
CoRR
Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong
2022 — conf
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis.
CASE
Maximilian Gilles, Yuhao Chen, Tim Robin Winter, E. Zhixuan Zeng, Alexander Wong
2022 J jnl
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis.
CoRR
Maximilian Gilles, Yuhao Chen, Tim Robin Winter, E. Zhixuan Zeng, Alexander Wong
2021 J jnl
MetaGraspNet: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis.
CoRR
Yuhao Chen, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong