3 citations · 4 across the 3 of their papers we have counts for
4 papers
Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution
Ao Li, Le Zhang, Yun Liu +1
Transformer-based methods have exhibited remarkable potential in single image super-resolution (SISR) by effectively extracting long-range dependencies. However, most of the curren…
Deep Negative Correlation Classification
Le Zhang, Qibin Hou, Yun Liu +4
Ensemble learning serves as a straightforward way to improve the performance of almost any machine learning algorithm. Existing deep ensemble methods usually naively train many dif…
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation
Guolei Sun, Yun Liu, Hao Tang +3
The essence of video semantic segmentation (VSS) is how to leverage temporal information for prediction. Previous efforts are mainly devoted to developing new techniques to calcula…
Vision Transformers with Hierarchical Attention
Yun Liu, Yu-Huan Wu, Guolei Sun +3
This paper tackles the high computational/space complexity associated with Multi-Head Self-Attention (MHSA) in vanilla vision transformers. To this end, we propose Hierarchical MHS…