most citedOSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Unleashing the Potential of Model Bias for Generalized Category Discovery

Wenbin An, Haonan Lin, Jiahao Nie +5

Generalized Category Discovery is a significant and complex task that aims to identify both known and undefined novel categories from a set of unlabeled data, leveraging another la…

cs.CV20241 cited

VoxelTrack: Exploring Voxel Representation for 3D Point Cloud Object Tracking

Yuxuan Lu, Jiahao Nie, Zhiwei He +2

Current LiDAR point cloud-based 3D single object tracking (SOT) methods typically rely on point-based representation network. Despite demonstrated success, such networks suffer fro…

cs.CV20241 cited

Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models

Wenbin An, Feng Tian, Jiahao Nie +7

Knowledge-based Visual Question Answering (KVQA) requires both image and world knowledge to answer questions. Current methods first retrieve knowledge from the image and external k…

cs.CV2024

Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining

Jiahao Nie, Yun Xing, Gongjie Zhang +5

Cross-Domain Few-Shot Segmentation (CD-FSS) poses the challenge of segmenting novel categories from a distinct domain using only limited exemplars. In this paper, we undertake a co…

cs.CV20232 cited

OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking

Jiahao Nie, Zhiwei He, Yuxiang Yang +3

Two-stage point-to-box network acts as a critical role in the recent popular 3D Siamese tracking paradigm, which first generates proposals and then predicts corresponding proposal-…