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20202024
most citedLanguage Prompt for Autonomous Driving

22 citations · 31 across the 7 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 4 cited

Decoupling the Curve Modeling and Pavement Regression for Lane Detection

Wencheng Han, Jianbing Shen

The curve-based lane representation is a popular approach in many lane detection methods, as it allows for the representation of lanes as a whole object and maximizes the use of ho…

cs.CV2023★ 22 cited

Language Prompt for Autonomous Driving

Dongming Wu, Wencheng Han, Yingfei Liu +4

A new trend in the computer vision community is to capture objects of interest following flexible human command represented by a natural language prompt. However, the progress of u…

cs.CV2023

Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network

Wencheng Han, Junbo Yin, Jianbing Shen

Monocular depth estimation is known as an ill-posed task in which objects in a 2D image usually do not contain sufficient information to predict their depth. Thus, it acts differen…

cs.CV2023★ 1 cited

Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction Consistency

Runzhou Tao, Wencheng Han, Zhongying Qiu +2

Monocular 3D object detection has become a mainstream approach in automatic driving for its easy application. A prominent advantage is that it does not need LiDAR point clouds duri…

cs.CV2023

Referring Multi-Object Tracking

Dongming Wu, Wencheng Han, Tiancai Wang +3

Existing referring understanding tasks tend to involve the detection of a single text-referred object. In this paper, we propose a new and general referring understanding task, ter…