13 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Reconstructing Objects in-the-wild for Realistic Sensor Simulation
Ze Yang, Sivabalan Manivasagam, Yun Chen +3
Reconstructing objects from real world data and rendering them at novel views is critical to bringing realism, diversity and scale to simulation for robotics training and testing.…
cs.CV2023★ 1 cited
UniSim: A Neural Closed-Loop Sensor Simulator
Ze Yang, Yun Chen, Jingkang Wang +4
Rigorously testing autonomy systems is essential for making safe self-driving vehicles (SDV) a reality. It requires one to generate safety critical scenarios beyond what can be col…
cs.CV2017★ 13 cited
Single Image Super-resolution via a Lightweight Residual Convolutional Neural Network
Yudong Liang, Ze Yang, Kai Zhang +3
Recent years have witnessed great success of convolutional neural network (CNN) for various problems both in low and high level visions. Especially noteworthy is the residual netwo…