1 citations · 1 across the 3 of their papers we have counts for
5 papers
AstroRAG -- A Pagerank-Based Retrieval-Augmented Generation Pipeline for Question Answering in Astronomy
Zhifeng Wang, Jason Jingshi Li, Kaihao Zhang +1
Large language models (LLMs) demonstrate strong performance in natural language processing but often generate factual errors when relying solely on parametric knowledge. Retrieval-…
Visual and Textual Prompts in VLLMs for Enhancing Emotion Recognition
Zhifeng Wang, Qixuan Zhang, Peter Zhang +5
Vision Large Language Models (VLLMs) exhibit promising potential for multi-modal understanding, yet their application to video-based emotion recognition remains limited by insuffic…
Visual Prompting in LLMs for Enhancing Emotion Recognition
Qixuan Zhang, Zhifeng Wang, Dylan Zhang +5
Vision Large Language Models (VLLMs) are transforming the intersection of computer vision and natural language processing. Nonetheless, the potential of using visual prompts for em…
LLDif: Diffusion Models for Low-light Emotion Recognition
Zhifeng Wang, Kaihao Zhang, Ramesh Sankaranarayana
This paper introduces LLDif, a novel diffusion-based facial expression recognition (FER) framework tailored for extremely low-light (LL) environments. Images captured under such co…
Authentic Emotion Mapping: Benchmarking Facial Expressions in Real News
Qixuan Zhang, Zhifeng Wang, Yang Liu +4
In this paper, we present a novel benchmark for Emotion Recognition using facial landmarks extracted from realistic news videos. Traditional methods relying on RGB images are resou…