251 citations · 264 across the 8 of their papers we have counts for
8 papers
VaLID: Variable-Length Input Diffusion for Novel View Synthesis
Shijie Li, Farhad G. Zanjani, Haitam Ben Yahia +3
Novel View Synthesis (NVS), which tries to produce a realistic image at the target view given source view images and their corresponding poses, is a fundamental problem in 3D Visio…
Semantic RGB-D Image Synthesis
Shijie Li, Rong Li, Juergen Gall
Collecting diverse sets of training images for RGB-D semantic image segmentation is not always possible. In particular, when robots need to operate in privacy-sensitive areas like…
TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation
Rong Li, ShiJie Li, Xieyuanli Chen +3
LiDAR semantic segmentation plays a crucial role in enabling autonomous driving and robots to understand their surroundings accurately and robustly. A multitude of methods exist wi…
Foresight Social-aware Reinforcement Learning for Robot Navigation
Yanying Zhou, Shijie Li, Jochen Garcke
When robots handle navigation tasks while avoiding collisions, they perform in crowded and complex environments not as good as in stable and homogeneous environments. This often re…
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data
Xieyuanli Chen, Shijie Li, Benedikt Mersch +4
The ability to detect and segment moving objects in a scene is essential for building consistent maps, making future state predictions, avoiding collisions, and planning. In this p…
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition
Shijie Li, Jinhui Yi, Yazan Abu Farha +1
With the advances in capturing 2D or 3D skeleton data, skeleton-based action recognition has received an increasing interest over the last years. As skeleton data is commonly repre…
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform
Shijie Li, Xieyuanli Chen, Yun Liu +3
Real-time semantic segmentation of LiDAR data is crucial for autonomously driving vehicles, which are usually equipped with an embedded platform and have limited computational reso…
Rethinking 3D LiDAR Point Cloud Segmentation
Shijie Li, Yun Liu, Juergen Gall
Many point-based semantic segmentation methods have been designed for indoor scenarios, but they struggle if they are applied to point clouds that are captured by a LiDAR sensor in…