452 citations · 1k across the 19 of their papers we have counts for
19 papers
Sparse4D v2: Recurrent Temporal Fusion with Sparse Model
Xuewu Lin, Tianwei Lin, Zixiang Pei +2
Sparse algorithms offer great flexibility for multi-view temporal perception tasks. In this paper, we present an enhanced version of Sparse4D, in which we improve the temporal fusi…
Plug and Play Active Learning for Object Detection
Chenhongyi Yang, Lichao Huang, Elliot J. Crowley
Annotating datasets for object detection is an expensive and time-consuming endeavor. To minimize this burden, active learning (AL) techniques are employed to select the most infor…
Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion
Xuewu Lin, Tianwei Lin, Zixiang Pei +2
Bird-eye-view (BEV) based methods have made great progress recently in multi-view 3D detection task. Comparing with BEV based methods, sparse based methods lag behind in performanc…
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning
Chenhongyi Yang, Lichao Huang, Elliot J. Crowley
The goal of contrastive learning based pre-training is to leverage large quantities of unlabeled data to produce a model that can be readily adapted downstream. Current approaches…
Real-Time and Accurate Object Detection in Compressed Video by Long Short-term Feature Aggregation
Xinggang Wang, Zhaojin Huang, Bencheng Liao +3
Video object detection is a fundamental problem in computer vision and has a wide spectrum of applications. Based on deep networks, video object detection is actively studied for p…
Boundary-preserving Mask R-CNN
Tianheng Cheng, Xinggang Wang, Lichao Huang +1
Tremendous efforts have been made to improve mask localization accuracy in instance segmentation. Modern instance segmentation methods relying on fully convolutional networks perfo…