activity
20212026
most citedFeature Pyramid Network for Multi-task Affective Analysis

8 citations · 16 across the 12 of their papers we have counts for

collaborators

12 papers

cs.AI2026

Wuying-Browser-Agent: Real-World Centric Fundamental Long-Horizon Browser Agents

AIMAE Team, Tianxiang Chen, Yan Cheng +39

Browser agents perform well on short, clean demonstrations, but real deployment is fundamentally different: agents must sustain dozens of decisions on live websites while recoverin…

cs.CV2026

MicroWorld: Empowering Multimodal Large Language Models to Bridge the Microscopic Domain Gap with Multimodal Attribute Graph

Manyu Li, Ruian He, Chenxi Ma +2

Multimodal large language models (MLLMs) show remarkable potential for scientific reasoning, yet their performance in specialized domains such as microscopy remains limited by the…

cs.CV2025

MicroVQA++: High-Quality Microscopy Reasoning Dataset with Weakly Supervised Graphs for Multimodal Large Language Model

Manyu Li, Ruian He, Chenxi Ma +2

Multimodal Large Language Models are increasingly applied to biomedical imaging, yet scientific reasoning for microscopy remains limited by the scarcity of large-scale, high-qualit…

cs.CV2025

Unifying Segment Anything in Microscopy with Vision-Language Knowledge

Manyu Li, Ruian He, Zixian Zhang +3

Accurate segmentation of regions of interest in biomedical images holds substantial value in image analysis. Although several foundation models for biomedical segmentation have cur…

cs.CV2024★ 4 cited

FacialFlowNet: Advancing Facial Optical Flow Estimation with a Diverse Dataset and a Decomposed Model

Jianzhi Lu, Ruian He, Shili Zhou +2

Facial movements play a crucial role in conveying altitude and intentions, and facial optical flow provides a dynamic and detailed representation of it. However, the scarcity of da…

cs.CV2024★ 1 cited

Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation

Ri Cheng, Ruian He, Xuhao Jiang +3

Existing recurrent optical flow estimation networks are computationally expensive since they use a fixed large number of iterations to update the flow field for each sample. An eff…

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

A Generative Framework for Self-Supervised Facial Representation Learning

Ruian He, Zhen Xing, Weimin Tan +1

Self-supervised representation learning has gained increasing attention for strong generalization ability without relying on paired datasets. However, it has not been explored suff…

cs.CV2023

MVFlow: Deep Optical Flow Estimation of Compressed Videos with Motion Vector Prior

Shili Zhou, Xuhao Jiang, Weimin Tan +2

In recent years, many deep learning-based methods have been proposed to tackle the problem of optical flow estimation and achieved promising results. However, they hardly consider…

cs.CV2023★ 1 cited

SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model

Shili Zhou, Ruian He, Weimin Tan +1

Optical Flow Estimation aims to find the 2D dense motion field between two frames. Due to the limitation of model structures and training datasets, existing methods often rely too…

cs.CV2023★ 1 cited

Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation

Ri Cheng, Xuhao Jiang, Ruian He +3

The video frame interpolation (VFI) model applies the convolution operation to all locations, leading to redundant computations in regions with easy motion. We can use dynamic spat…

cs.CV2021★ 8 cited

Feature Pyramid Network for Multi-task Affective Analysis

Ruian He, Zhen Xing, Weimin Tan +1

Affective Analysis is not a single task, and the valence-arousal value, expression class, and action unit can be predicted at the same time. Previous researches did not pay enough…