6 papers
EZBlender: Efficient 3D Editing with Plan-and-ReAct Agent
Hao Wang, Wenhui Zhu, Shao Tang +8
As a cornerstone of the modern digital economy, 3D modeling and rendering demand substantial resources and manual effort when scene editing is performed in the traditional manner.…
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…
Anomalous Decision Discovery using Inverse Reinforcement Learning
Ashish Bastola, Mert D. Pesé, Long Cheng +2
Anomaly detection plays a critical role in Autonomous Vehicles (AVs) by identifying unusual behaviors through perception systems that could compromise safety and lead to hazardous…
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…