3 citations · 3 across the 7 of their papers we have counts for
7 papers
SCALEX: Scalable Concept and Latent Exploration for Diffusion Models
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
Image generation models frequently encode social biases, including stereotypes tied to gender, race, and profession. Existing methods for analyzing these biases in diffusion models…
Understanding the Limitations of Diffusion Concept Algebra Through Food
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
Image generation techniques, particularly latent diffusion models, have exploded in popularity in recent years. Many techniques have been developed to manipulate and clarify the se…
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability
E. Zhixuan Zeng, Hayden Gunraj, Sheldon Fernandez +1
Explainability plays a crucial role in providing a more comprehensive understanding of deep learning models' behaviour. This allows for thorough validation of the model's performan…
ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
Object pose estimation is a critical task in robotics for precise object manipulation. However, current techniques heavily rely on a reference 3D object, limiting their generalizab…
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy
Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng +3
Recently, there has been tremendous interest in industry 4.0 infrastructure to address labor shortages in global supply chains. Deploying artificial intelligence-enabled robotic bi…
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis
Maximilian Gilles, Yuhao Chen, Tim Robin Winter +2
Autonomous bin picking poses significant challenges to vision-driven robotic systems given the complexity of the problem, ranging from various sensor modalities, to highly entangle…
MetaGraspNet_v0: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis
Yuhao Chen, E. Zhixuan Zeng, Maximilian Gilles +1
There has been increasing interest in smart factories powered by robotics systems to tackle repetitive, laborious tasks. One impactful yet challenging task in robotics-powered smar…