most citedBridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection

5 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Generalizable Human Gaussians from Single-View Image

Jinnan Chen, Chen Li, Jianfeng Zhang +4

In this work, we tackle the task of learning 3D human Gaussians from a single image, focusing on recovering detailed appearance and geometry including unobserved regions. We introd…

cs.CV2021★ 5 cited

Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection

Na Dong, Yongqiang Zhang, Mingli Ding +1

Deep networks have shown remarkable results in the task of object detection. However, their performance suffers critical drops when they are subsequently trained on novel classes w…

cs.CV2021★ 1 cited

Voxel-based Network for Shape Completion by Leveraging Edge Generation

Xiaogang Wang, Marcelo H Ang, Gim Hee Lee

Deep learning technique has yielded significant improvements in point cloud completion with the aim of completing missing object shapes from partial inputs. However, most existing…