19 citations · 29 across the 7 of their papers we have counts for
4 papers · 1 filter
CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy Reward
Zhiqiang Wang, Pengbin Feng, Yanbin Lin +4
We propose Fuzzy Group Relative Policy Reward (FGRPR), a novel framework that integrates Group Relative Policy Optimization (GRPO) with a fuzzy reward function to enhance learning…
Benchmarking Large Language Models for Image Classification of Marine Mammals
Yijiashun Qi, Shuzhang Cai, Zunduo Zhao +3
As Artificial Intelligence (AI) has developed rapidly over the past few decades, the new generation of AI, Large Language Models (LLMs) trained on massive datasets, has achieved gr…
LLMGeo: Benchmarking Large Language Models on Image Geolocation In-the-wild
Zhiqiang Wang, Dejia Xu, Rana Muhammad Shahroz Khan +3
Image geolocation is a critical task in various image-understanding applications. However, existing methods often fail when analyzing challenging, in-the-wild images. Inspired by t…
Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian Kernel
Zhiqiang Wang, Yiran Pang, Cihan Ulus +1
Manatees are aquatic mammals with voracious appetites. They rely on sea grass as the main food source, and often spend up to eight hours a day grazing. They move slow and frequentl…