22 citations · 31 across the 7 of their papers we have counts for
7 papers · 1 filter
High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior
Wencheng Han, Jianbing Shen
In the area of self-supervised monocular depth estimation, models that utilize rich-resource inputs, such as high-resolution and multi-frame inputs, typically achieve better perfor…
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…
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…
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…
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…
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…
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers
Wencheng Han, Xingping Dong, Fahad Shahbaz Khan +2
Recently, Siamese-based trackers have achieved promising performance in visual tracking. Most recent Siamese-based trackers typically employ a depth-wise cross-correlation (DW-XCor…