activity
20212026
most citedOn the Connection between Local Attention and Dynamic Depth-wise Convolution

71 citations · 77 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Adaptive Context Matters: Towards Provable Multi-Modality Guidance for Super-Resolution

Jinyi Luo, Minghao Liu, Yifan Li +2

Super-resolution (SR) is a severely ill-posed problem with inherent ambiguity, as widely recognized in both empirical and theoretical studies. Although recent semantic-guided and m…

cs.CV2022★ 2 cited

SMars: Semi-Supervised Learning for Mars Semantic Segmentation

Jiahang Zhang, Lilang Lin, Zejia Fan +2

Deep learning has become a powerful tool for Mars exploration. Mars terrain semantic segmentation is an important Martian vision task, which is the base of rover autonomous plannin…

cs.CV2022★ 4 cited

Semi-Supervised Learning for Mars Imagery Classification and Segmentation

Wenjing Wang, Lilang Lin, Zejia Fan +1

With the progress of Mars exploration, numerous Mars image data are collected and need to be analyzed. However, due to the imbalance and distortion of Martian data, the performance…

cs.CV2021

Conditional DETR for Fast Training Convergence

Depu Meng, Xiaokang Chen, Zejia Fan +5

The recently-developed DETR approach applies the transformer encoder and decoder architecture to object detection and achieves promising performance. In this paper, we handle the c…

cs.CV2021★ 71 cited

On the Connection between Local Attention and Dynamic Depth-wise Convolution

Qi Han, Zejia Fan, Qi Dai +4

Vision Transformer (ViT) attains state-of-the-art performance in visual recognition, and the variant, Local Vision Transformer, makes further improvements. The major component in L…