activity
20182023
most citedMonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

9 citations · 24 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 5 cited

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction

Hansheng Chen, Jiatao Gu, Anpei Chen +4

3D-aware image synthesis encompasses a variety of tasks, such as scene generation and novel view synthesis from images. Despite numerous task-specific methods, developing a compreh…

cs.CV2023

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

Hansheng Chen, Wei Tian, Pichao Wang +3

Locating 3D objects from a single RGB image via Perspective-n-Point (PnP) is a long-standing problem in computer vision. Driven by end-to-end deep learning, recent studies suggest…

cs.CV2021★ 9 cited

MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

Hansheng Chen, Yuyao Huang, Wei Tian +2

Object localization in 3D space is a challenging aspect in monocular 3D object detection. Recent advances in 6DoF pose estimation have shown that predicting dense 2D-3D corresponde…

eess.SP2020★ 1 cited

DsMCL: Dual-Level Stochastic Multiple Choice Learning for Multi-Modal Trajectory Prediction

Zehan Wang, Sihong Zhou, Yuyao Huang +1

For both driving safety and efficiency, automated vehicles should be able to predict the behavior of surrounding traffic participants in a complex dynamic environment. To accomplis…

cs.CV2020

Detecting Lane and Road Markings at A Distance with Perspective Transformer Layers

Zhuoping Yu, Xiaozhou Ren, Yuyao Huang +2

Accurate detection of lane and road markings is a task of great importance for intelligent vehicles. In existing approaches, the detection accuracy often degrades with the increasi…

cs.CV2018★ 9 cited

End-to-end driving simulation via angle branched network

Qing Wang, Long Chen, Wei Tian

Imitation learning for end-to-end autonomous driving has drawn attention from academic communities. Current methods either only use images as the input which is ambiguous when a ca…