activity
20222025
most citedInstruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions

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

collaborators

6 papers

cs.CV2025

MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from Textbooks

Wenqi Zeng, Yuqi Sun, Chenxi Ma +2

Medical vision-language models (VLMs) have shown promise as clinical assistants across various medical fields. However, specialized dermatology VLM capable of delivering profession…

cs.LG2024

A Self-Supervised Paradigm for Data-Efficient Medical Foundation Model Pre-training: V-information Optimization Framework

Wenxuan Yang, Hanyu Zhang, Weimin Tan +2

Self-supervised pre-training medical foundation models on large-scale datasets demonstrate exceptional performance. Recent research challenges this common paradigm by introducing d…

cs.LG2024

A Medical Data-Effective Learning Benchmark for Highly Efficient Pre-training of Foundation Models

Wenxuan Yang, Weimin Tan, Yuqi Sun +1

Foundation models, pre-trained on massive datasets, have achieved unprecedented generalizability. However, is it truly necessary to involve such vast amounts of data in pre-trainin…

cs.CV2023

Low-latency Space-time Supersampling for Real-time Rendering

Ruian He, Shili Zhou, Yuqi Sun +3

With the rise of real-time rendering and the evolution of display devices, there is a growing demand for post-processing methods that offer high-resolution content in a high frame…

cs.CV2023★ 1 cited

Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions

Yuqi Sun, Ruian He, Weimin Tan +1

Recent neural talking radiance field methods have shown great success in photorealistic audio-driven talking face synthesis. In this paper, we propose a novel interactive framework…

cs.CV2022

Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution

Ri Cheng, Yuqi Sun, Bo Yan +2

Recent multi-view multimedia applications struggle between high-resolution (HR) visual experience and storage or bandwidth constraints. Therefore, this paper proposes a Multi-View…