173 citations · 235 across the 12 of their papers we have counts for
8 papers · 1 filter
Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection
Shichao Li, Peiliang Li, Qing Lian +2
Perceiving pedestrians in highly crowded urban environments is a difficult long-tail problem for learning-based autonomous perception. Speeding up 3D ground truth generation for su…
Stereo Neural Vernier Caliper
Shichao Li, Zechun Liu, Zhiqiang Shen +1
We propose a new object-centric framework for learning-based stereo 3D object detection. Previous studies build scene-centric representations that do not consider the significant v…
Joint stereo 3D object detection and implicit surface reconstruction
Shichao Li, Xijie Huang, Zechun Liu +1
We present a new learning-based framework S-3D-RCNN that can recover accurate object orientation in SO(3) and simultaneously predict implicit rigid shapes from stereo RGB images. F…
Exploring intermediate representation for monocular vehicle pose estimation
Shichao Li, Zengqiang Yan, Hongyang Li +1
We present a new learning-based framework to recover vehicle pose in SO(3) from a single RGB image. In contrast to previous works that map from local appearance to observation angl…
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision
Lei Ke, Shichao Li, Yanan Sun +2
We present a novel end-to-end framework named as GSNet (Geometric and Scene-aware Network), which jointly estimates 6DoF poses and reconstructs detailed 3D car shapes from single u…
Cascaded deep monocular 3D human pose estimation with evolutionary training data
Shichao Li, Lei Ke, Kevin Pratama +3
End-to-end deep representation learning has achieved remarkable accuracy for monocular 3D human pose estimation, yet these models may fail for unseen poses with limited and fixed t…
Facial age estimation by deep residual decision making
Shichao Li, Kwang-Ting Cheng
Residual representation learning simplifies the optimization problem of learning complex functions and has been widely used by traditional convolutional neural networks. However, i…
Visualizing the decision-making process in deep neural decision forest
Shichao Li, Kwang-Ting Cheng
Deep neural decision forest (NDF) achieved remarkable performance on various vision tasks via combining decision tree and deep representation learning. In this work, we first trace…