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Ashish Bastola

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.DC1
  • cs.MA1
ORCID 0000-0002-3431-4724

identity via Semantic Scholar / OpenAlex

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

6 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

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.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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.