activity
20122023
most citedCrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention

85 citations · 202 across the 19 of their papers we have counts for

collaborators

19 papers

cs.CV2023

A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation

Minghao Chen, Zepeng Gao, Shuai Zhao +4

Unsupervised domain adaptation (UDA) methods facilitate the transfer of models to target domains without labels. However, these methods necessitate a labeled target validation set…

cs.CV2023★ 7 cited

NormKD: Normalized Logits for Knowledge Distillation

Zhihao Chi, Tu Zheng, Hengjia Li +4

Logit based knowledge distillation gets less attention in recent years since feature based methods perform better in most cases. Nevertheless, we find it still has untapped potenti…

cs.CV2023★ 2 cited

Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation

Ping Li, Junjie Chen, Binbin Lin +1

Semantic segmentation plays an important role in widespread applications such as autonomous driving and robotic sensing. Traditional methods mostly use RGB images which are heavily…

cs.CV2023★ 4 cited

PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer

Honghui Yang, Wenxiao Wang, Minghao Chen +5

Recent Transformer-based 3D object detectors learn point cloud features either from point- or voxel-based representations. However, the former requires time-consuming sampling whil…

cs.CV2023★ 4 cited

APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding

Hengjia Li, Tu Zheng, Zhihao Chi +5

Transformer-based networks have achieved impressive performance in 3D point cloud understanding. However, most of them concentrate on aggregating local features, but neglect to dir…

cs.LG2023★ 1 cited

Neural Collapse Inspired Federated Learning with Non-iid Data

Chenxi Huang, Liang Xie, Yibo Yang +3

One of the challenges in federated learning is the non-independent and identically distributed (non-iid) characteristics between heterogeneous devices, which cause significant diff…