Ce Zheng

Ce Zheng is a Research Fellow in the Robotics Institute at Carnegie Mellon University, affiliated with the Computational Behavior (CUBE) Lab. His work focuses on advanced methodologies for human pose estimation and 3D mesh recovery using deep learning and transformer architectures.

Research Interests:

• Robotics and human-computer interaction
• Artificial intelligence and machine learning
• Computer vision for pose and mesh recovery
• Transformer networks and neural architectures
• Domain adaptation and sim-to-real frameworks
• Biomechanics and neural networks

Article Trends: Recent publications emphasize domain adaptation, multimodal integration (e.g., audio-visual reasoning), and efficient algorithms for 3D reconstruction. Key themes include diffusion models, hardware-algorithm co-design, and leveraging transformer architectures for spatiotemporal analysis in robotics applications.

Labs & Teams: Affiliated with the Robotics Institute and the Computational Behavior (CUBE) Lab, contributing to interdisciplinary research in computational models for human behavior analysis.