9 citations · 11 across the 6 of their papers we have counts for
6 papers
The Fourth Challenge on Image Super-Resolution (4) at NTIRE 2026: Benchmark Results and Method Overview
Zheng Chen, Kai Liu, Jingkai Wang +150
This paper presents the NTIRE 2026 image super-resolution (4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to r…
GAME: Learning Multimodal Interactions via Graph Structures for Personality Trait Estimation
Kangsheng Wang, Yuhang Li, Chengwei Ye +5
Apparent personality analysis from short videos poses significant chal-lenges due to the complex interplay of visual, auditory, and textual cues. In this paper, we propose GAME, a…
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution
Yufei Lin, Chengwei Ye, Huanzhen Zhang +4
Sparse reward environments pose significant challenges in reinforcement learning, especially within multi-agent systems (MAS) where feedback is delayed and shared across agents, le…
GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation
Chengwei Ye, Huanzhen Zhang, Yufei Lin +3
Gliomas are aggressive brain tumors that pose serious health risks. Deep learning aids in lesion segmentation, but CNN and Transformer-based models often lack context modeling or d…
Domain Adaptation for Underwater Image Enhancement
Zhengyong Wang, Liquan Shen, Mei Yu +3
Recently, learning-based algorithms have shown impressive performance in underwater image enhancement. Most of them resort to training on synthetic data and achieve outstanding per…
Single Underwater Image Enhancement Using an Analysis-Synthesis Network
Zhengyong Wang, Liquan Shen, Mei Yu +2
Most deep models for underwater image enhancement resort to training on synthetic datasets based on underwater image formation models. Although promising performances have been ach…