Self-supervised Transformation Learning for Equivariant Representations (NeurIPS 2024)
Camera Distortion-aware 3D human Pose Estimation in Video with Optimization-based Meta-Learning (ICCV 2021)
Background
Research Interests: My research focuses on understanding and designing representation learning frameworks that are generalizable, interpretable, and controllable. I aim to develop representations that generalize across diverse tasks and domains, are interpretable to support meaningful insights and decisions, and are controllable to enable direct manipulation for various applications.