activity
20232026
most citedLLDif: Diffusion Models for Low-light Emotion Recognition

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

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-…

cs.CV2025

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…

cs.CV2024★ 1 cited

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…

cs.CV2024

LRDif: Diffusion Models for Under-Display Camera Emotion Recognition

Zhifeng Wang, Kaihao Zhang, Ramesh Sankaranarayana

This study introduces LRDif, a novel diffusion-based framework designed specifically for facial expression recognition (FER) within the context of under-display cameras (UDC). To a…

cs.CV2023

Using Scene and Semantic Features for Multi-modal Emotion Recognition

Zhifeng Wang, Ramesh Sankaranarayana

Automatic emotion recognition is a hot topic with a wide range of applications. Much work has been done in the area of automatic emotion recognition in recent years. The focus has…

cs.CV2023

HTNet for micro-expression recognition

Zhifeng Wang, Kaihao Zhang, Wenhan Luo +1

Facial expression is related to facial muscle contractions and different muscle movements correspond to different emotional states. For micro-expression recognition, the muscle mov…