69 citations · 215 across the 26 of their papers we have counts for
10 papers · 1 filter
Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction
Bo Jiang, Shaoyu Chen, Xinggang Wang +7
Motion prediction is highly relevant to the perception of dynamic objects and static map elements in the scenarios of autonomous driving. In this work, we propose PIP, the first en…
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
Tianheng Cheng, Xinggang Wang, Shaoyu Chen +2
Labeling objects with pixel-wise segmentation requires a huge amount of human labor compared to bounding boxes. Most existing methods for weakly supervised instance segmentation fo…
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Bencheng Liao, Shaoyu Chen, Xinggang Wang +4
High-definition (HD) map provides abundant and precise environmental information of the driving scene, serving as a fundamental and indispensable component for planning in autonomo…
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation
Zhi Liu, Shaoyu Chen, Xiaojie Guo +6
In this work, we propose PolarBEV for vision-based uneven BEV representation learning. To adapt to the foreshortening effect of camera imaging, we rasterize the BEV space both angu…
Polar Parametrization for Vision-based Surround-View 3D Detection
Shaoyu Chen, Xinggang Wang, Tianheng Cheng +3
3D detection based on surround-view camera system is a critical technique in autopilot. In this work, we present Polar Parametrization for 3D detection, which reformulates position…
Featurized Query R-CNN
Wenqiang Zhang, Tianheng Cheng, Xinggang Wang +3
The query mechanism introduced in the DETR method is changing the paradigm of object detection and recently there are many query-based methods have obtained strong object detection…
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer
Shaoyu Chen, Tianheng Cheng, Xinggang Wang +3
Learning Bird's Eye View (BEV) representation from surrounding-view cameras is of great importance for autonomous driving. In this work, we propose a Geometry-guided Kernel Transfo…
AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception
Shaoyu Chen, Xinggang Wang, Tianheng Cheng +4
Studying the inherent symmetry of data is of great importance in machine learning. Point cloud, the most important data format for 3D environmental perception, is naturally endowed…
Sparse Instance Activation for Real-Time Instance Segmentation
Tianheng Cheng, Xinggang Wang, Shaoyu Chen +5
In this paper, we propose a conceptually novel, efficient, and fully convolutional framework for real-time instance segmentation. Previously, most instance segmentation methods hea…
Instant Reality: Gaze-Contingent Perceptual Optimization for 3D Virtual Reality Streaming
Shaoyu Chen, Budmonde Duinkharjav, Xin Sun +5
Media streaming has been adopted for a variety of applications such as entertainment, visualization, and design. Unlike video/audio streaming where the content is usually consumed…