activity
20242026
most citedVisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation

6 citations · 14 across the 12 of their papers we have counts for

collaborators

14 papers

cs.NI2026

LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving

Ahmad Sarlak, Hao Wang, Rahul Amin +1

Cooperative perception (CP) enables connected autonomous vehicles (CAVs) to share complementary observations for safer navigation, but practical deployment is limited by bandwidth…

cs.CV2026

Spatial-Conditioned Reasoning in Long-Egocentric Videos

James Tribble, Hao Wang, Si-En Hong +4

Long-horizon egocentric video presents significant challenges for visual navigation due to viewpoint drift and the absence of persistent geometric context. Although recent vision-l…

cs.CV2026

Motion Focus Recognition in Fast-Moving Egocentric Video

Si-En Hong, James Tribble, Alexander Lake +8

From Vision-Language-Action (VLA) systems to robotics, existing egocentric datasets primarily focus on action recognition tasks, while largely overlooking the inherent role of moti…

cs.CV2025

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…

cs.CV2025

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…

cs.MA2025

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,…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024★ 2 cited

Motor Focus: Fast Ego-Motion Prediction for Assistive Visual Navigation

Hao Wang, Jiayou Qin, Xiwen Chen +4

Assistive visual navigation systems for visually impaired individuals have become increasingly popular thanks to the rise of mobile computing. Most of these devices work by transla…

cs.DC2024

FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling

Ashish Bastola, Hao Wang, Xiwen Chen +1

Many AI platforms, including traffic monitoring systems, use Federated Learning (FL) for decentralized sensor data processing for learning-based applications while preserving priva…

cs.CV2024★ 6 cited

VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation

Hao Wang, Jiayou Qin, Ashish Bastola +4

This paper explores the potential of Large Language Models(LLMs) in zero-shot anomaly detection for safe visual navigation. With the assistance of the state-of-the-art real-time op…

cs.CV2024★ 1 cited

Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance

Xiwen Chen, Hao Wang, Zhao Zhang +4

Untrained Physics-based Deep Learning (DL) methods for digital holography have gained significant attention due to their benefits, such as not requiring an annotated training datas…

cs.CV2024

FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion

Hao Wang, Sayed Pedram Haeri Boroujeni, Xiwen Chen +4

Wildfires are a significant threat to ecosystems and human infrastructure, leading to widespread destruction and environmental degradation. Recent advancements in deep learning and…

cs.HC2024★ 5 cited

Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles

Ashish Bastola, Hao Wang, Sayed Pedram Haeri Boroujeni +3

This paper provides a comprehensive and, to our knowledge, the first review of inclusive human-computer interaction (HCI) within autonomous vehicles (AVs) and human-driven cars wit…