551 citations · 948 across the 52 of their papers we have counts for
47 papers · 1 filter
Deep Hybrid Self-Prior for Full 3D Mesh Generation
Xingkui Wei, Zhengqing Chen, Yanwei Fu +2
We present a deep learning pipeline that leverages network self-prior to recover a full 3D model consisting of both a triangular mesh and a texture map from the colored 3D point cl…
A Unified Efficient Pyramid Transformer for Semantic Segmentation
Fangrui Zhu, Yi Zhu, Li Zhang +3
Semantic segmentation is a challenging problem due to difficulties in modeling context in complex scenes and class confusions along boundaries. Most literature either focuses on co…
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection
Zekun Luo, Zheng Fang, Sixiao Zheng +2
Non-Maximum Suppression (NMS) is essential for object detection and affects the evaluation results by incorporating False Positives (FP) and False Negatives (FN), especially in cro…
The Image Local Autoregressive Transformer
Chenjie Cao, Yuxin Hong, Xiang Li +4
Recently, AutoRegressive (AR) models for the whole image generation empowered by transformers have achieved comparable or even better performance to Generative Adversarial Networks…
Delving into Data: Effectively Substitute Training for Black-box Attack
Wenxuan Wang, Bangjie Yin, Taiping Yao +6
Deep models have shown their vulnerability when processing adversarial samples. As for the black-box attack, without access to the architecture and weights of the attacked model, t…
Learning Compositional Representation for 4D Captures with Neural ODE
Boyan Jiang, Yinda Zhang, Xingkui Wei +2
Learning based representation has become the key to the success of many computer vision systems. While many 3D representations have been proposed, it is still an unaddressed proble…