5 papers
Fast 2DGS: Efficient Image Representation with Deep Gaussian Prior
Hao Wang, Ashish Bastola, Chaoyi Zhou +5
As generative models become increasingly capable of producing high-fidelity visual content, the demand for efficient, interpretable, and editable image representations has grown su…
AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging
Hao Wang, Hongkui Zheng, Kai He +1
Scanning transmission electron microscopy (STEM) plays a critical role in modern materials science, enabling direct imaging of atomic structures and their evolution under external…
Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication
Ashish Bastola, Hao Wang, Abolfazl Razi
Anomaly detection is a critical requirement for ensuring safety in autonomous driving. In this work, we leverage Cooperative Perception to share information across nearby vehicles,…
Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion
Hao Wang, Xiwen Chen, Ashish Bastola +2
The emergence of generative AI and controllable diffusion has made image-to-image synthesis increasingly practical and efficient. However, when input images exhibit low entropy and…
RobustFormer: Noise-Robust Pre-training for images and videos
Ashish Bastola, Nishant Luitel, Hao Wang +3
While deep learning-based models like transformers, have revolutionized time-series and vision tasks, they remain highly susceptible to noise and often overfit on noisy patterns ra…