140 citations · 919 across the 60 of their papers we have counts for
10 papers · 2 filters
Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation
Yuxi Wang, Jian Liang, Jun Xiao +3
Contemporary domain adaptation offers a practical solution for achieving cross-domain transfer of semantic segmentation between labeled source data and unlabeled target data. These…
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
Haochen Wang, Junsong Fan, Yuxi Wang +3
As it is empirically observed that Vision Transformers (ViTs) are quite insensitive to the order of input tokens, the need for an appropriate self-supervised pretext task that enha…
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
Yuqi Wang, Yuntao Chen, Xingyu Liao +2
Comprehensive modeling of the surrounding 3D world is key to the success of autonomous driving. However, existing perception tasks like object detection, road structure segmentatio…
Weakly Supervised 3D Object Detection with Multi-Stage Generalization
Jiawei He, Yuqi Wang, Yuntao Chen +1
With the rapid development of large models, the need for data has become increasingly crucial. Especially in 3D object detection, costly manual annotations have hindered further ad…
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
Haochen Wang, Yuchao Wang, Yujun Shen +3
The crux of label-efficient semantic segmentation is to produce high-quality pseudo-labels to leverage a large amount of unlabeled or weakly labeled data. A common practice is to s…
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation
Haochen Wang, Yujun Shen, Jingjing Fei +4
Domain adaptive semantic segmentation aims to transfer knowledge from a labeled source domain to an unlabeled target domain. However, existing methods primarily focus on directly l…
Hard Patches Mining for Masked Image Modeling
Haochen Wang, Kaiyou Song, Junsong Fan +3
Masked image modeling (MIM) has attracted much research attention due to its promising potential for learning scalable visual representations. In typical approaches, models usually…
A Survey of Deep Visual Cross-Domain Few-Shot Learning
Wenjian Wang, Lijuan Duan, Yuxi Wang +3
Few-Shot transfer learning has become a major focus of research as it allows recognition of new classes with limited labeled data. While it is assumed that train and test data have…
Blind Video Deflickering by Neural Filtering with a Flawed Atlas
Chenyang Lei, Xuanchi Ren, Zhaoxiang Zhang +1
Many videos contain flickering artifacts. Common causes of flicker include video processing algorithms, video generation algorithms, and capturing videos under specific situations.…
FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection
Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang
The transformation of features from 2D perspective space to 3D space is essential to multi-view 3D object detection. Recent approaches mainly focus on the design of view transforma…