activity
20222024
most citedStroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region

23 citations · 30 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024

Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection

Haoxuan Wang, Qingdong He, Jinlong Peng +3

Open-vocabulary detection (OVD) aims to detect objects beyond a predefined set of categories. As a pioneering model incorporating the YOLO series into OVD, YOLO-World is well-suite…

cs.CV2024

VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis

Hao Chen, Jiafu Wu, Ying Jin +7

Recently, methods like Zero-1-2-3 have focused on single-view based 3D reconstruction and have achieved remarkable success. However, their predictions for unseen areas heavily rely…

cs.CV20242 cited

DMAD: Dual Memory Bank for Real-World Anomaly Detection

Jianlong Hu, Xu Chen, Zhenye Gan +7

Training a unified model is considered to be more suitable for practical industrial anomaly detection scenarios due to its generalization ability and storage efficiency. However, t…

cs.CV2024

UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation

Qingdong He, Jinlong Peng, Zhengkai Jiang +7

3D open-vocabulary scene understanding aims to recognize arbitrary novel categories beyond the base label space. However, existing works not only fail to fully utilize all the avai…

cs.CV202323 cited

Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region

Teng Hu, Ran Yi, Haokun Zhu +5

Stroke-based rendering aims to recreate an image with a set of strokes. Most existing methods render complex images using an uniform-block-dividing strategy, which leads to boundar…

cs.CV20234 cited

Toward High Quality Facial Representation Learning

Yue Wang, Jinlong Peng, Jiangning Zhang +4

Face analysis tasks have a wide range of applications, but the universal facial representation has only been explored in a few works. In this paper, we explore high-performance pre…