Skip to content

Commit

Permalink
3.16
Browse files Browse the repository at this point in the history
  • Loading branch information
ShenghongLuo committed Mar 16, 2024
1 parent 729302f commit 570cf77
Showing 1 changed file with 6 additions and 4 deletions.
10 changes: 6 additions & 4 deletions _pages/about.md
Original file line number Diff line number Diff line change
Expand Up @@ -26,17 +26,19 @@ Shenghong Luo is pursuing a degree in Information Technology Management at Hong
## * Papers Accepted
**(First author)** Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer With Adaptive Channel Expansion **(AAAI)** <a href="https://arxiv.org/abs/2308.13739">[Paper]</a>

ShaDocFormer: A Shadow-Attentive Detector With Cascaded Transformer for Document Shadow Removal **(IJCNN)** <a href="https://arxiv.org/abs/2309.06670">[Paper]</a>

UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformer **(IJCNN)** <a href="https://paperswithcode.com/paper/uwformer-underwater-image-enhancement-via-a">[Paper]</a>

## * Published Papers
Zinuo Li\*, Zhen Zhang\*, **Shenghong Luo**, et al. An Improved Matting-SfM Algorithm for 3D Reconstruction of Self-Rotating Objects. **Mathematics[J], JCR Q1.**<a href="https://doi.org/10.3390/math10162892">[Paper]</a>

Zinuo Li\*, **Shenghong Luo\***, et al. 3D Reconstruction System for Foot Arch Detecting Based on OpenMVG and OpenMVS. **PRAI2022[C].** <a href="https://ieeexplore.ieee.org/abstract/document/9904285">[Paper]</a>

## * Papers Under Review
**(First author)** DocDeshadower: Frequency-aware Transformer for Document Shadow Removal **(IJCNN)** <a href="https://arxiv.org/abs/2307.15318">[Paper]</a>
[//]: # (## * Papers Under Review)

ShaDocFormer: A Shadow-Attentive Detector With Cascaded Transformer for Document Shadow Removal **(IJCNN)** <a href="https://arxiv.org/abs/2309.06670">[Paper]</a>
[//]: # (**&#40;First author&#41;** DocDeshadower: Frequency-aware Transformer for Document Shadow Removal **&#40;IJCNN&#41;** <a href="https://arxiv.org/abs/2307.15318">[Paper]</a>)

UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformer **(IJCNN)** <a href="https://paperswithcode.com/paper/uwformer-underwater-image-enhancement-via-a">[Paper]</a>
## Misc
🎓 Possess a profound and enduring research enthusiasm for AI

Expand Down

0 comments on commit 570cf77

Please sign in to comment.