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20232026
most citedLLM-based Smart Reply (LSR): Enhancing Collaborative Performance with ChatGPT-mediated Smart Reply System

8 citations · 21 across the 11 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

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

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…