39 citations · 77 across the 10 of their papers we have counts for
11 papers
One Perception, All Maneuvers: Directional Traffic Signal Understanding for Maneuver-Level Signal Intent Prediction
Ang Zou, Runzhe Zheng, Zhigang li +5
Traffic lights are a key regulatory signal for autonomous driving at urban intersections, yet existing traffic signal perception is still predominantly formulated as instance-level…
HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View
Yiming Wu, Ruixiang Li, Zequn Qin +2
Vision-based Bird's Eye View (BEV) representation is an emerging perception formulation for autonomous driving. The core challenge is to construct BEV space with multi-camera featu…
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning
Huanzhang Dou, Pengyi Zhang, Yuhan Zhao +3
Gait recognition aims at identifying the pedestrians at a long distance by their biometric gait patterns. It is inherently challenging due to the various covariates and the propert…
UniFusion: Unified Multi-view Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-View
Zequn Qin, Jingyu Chen, Chao Chen +2
Bird's eye view (BEV) representation is a new perception formulation for autonomous driving, which is based on spatial fusion. Further, temporal fusion is also introduced in BEV re…
Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification
Zequn Qin, Pengyi Zhang, Xi Li
Modern methods mainly regard lane detection as a problem of pixel-wise segmentation, which is struggling to address the problems of efficiency and challenging scenarios like severe…
MonoGround: Detecting Monocular 3D Objects from the Ground
Zequn Qin, Xi Li
Monocular 3D object detection has attracted great attention for its advantages in simplicity and cost. Due to the ill-posed 2D to 3D mapping essence from the monocular imaging proc…
VersatileGait: A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation
Pengyi Zhang, Huanzhang Dou, Wenhu Zhang +4
Gait recognition has a rapid development in recent years. However, gait recognition in the wild is not well explored yet. An obvious reason could be ascribed to the lack of diverse…
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios
Huanzhang Dou, Wenhu Zhang, Pengyi Zhang +6
With the motivation of practical gait recognition applications, we propose to automatically create a large-scale synthetic gait dataset (called VersatileGait) by a game engine, whi…
FcaNet: Frequency Channel Attention Networks
Zequn Qin, Pengyi Zhang, Fei Wu +1
Attention mechanism, especially channel attention, has gained great success in the computer vision field. Many works focus on how to design efficient channel attention mechanisms w…
CoDiNet: Path Distribution Modeling with Consistency and Diversity for Dynamic Routing
Huanyu Wang, Zequn Qin, Songyuan Li +1
Dynamic routing networks, aimed at finding the best routing paths in the networks, have achieved significant improvements to neural networks in terms of accuracy and efficiency. In…
Ultra Fast Structure-aware Deep Lane Detection
Zequn Qin, Huanyu Wang, Xi Li
Modern methods mainly regard lane detection as a problem of pixel-wise segmentation, which is struggling to address the problem of challenging scenarios and speed. Inspired by huma…