9 citations · 16 across the 4 of their papers we have counts for
8 papers
Recursive Reasoning in Minimax Games: A Level Gradient Play Method
Zichu Liu, Lacra Pavel
Despite the success of generative adversarial networks (GANs) in generating visually appealing images, they are notoriously challenging to train. In order to stabilize the learning…
Simulators for Mobile Social Robots:State-of-the-Art and Challenges
Prabhjot Kaur, Zichuan Liu, Weisong Shi
The future robots are expected to work in a shared physical space with humans [1], however, the presence of humans leads to a dynamic environment that is challenging for mobile rob…
Multi View Spatial-Temporal Model for Travel Time Estimation
ZiChuan Liu, Zhaoyang Wu, Meng Wang +1
Taxi arrival time prediction is essential for building intelligent transportation systems. Traditional prediction methods mainly rely on extracting features from traffic maps, whic…
Progressive Self-Guided Loss for Salient Object Detection
Sheng Yang, Weisi Lin, Guosheng Lin +2
We present a simple yet effective progressive self-guided loss function to facilitate deep learning-based salient object detection (SOD) in images. The saliency maps produced by th…
Towards Robust Curve Text Detection with Conditional Spatial Expansion
Zichuan Liu, Guosheng Lin, Sheng Yang +3
It is challenging to detect curve texts due to their irregular shapes and varying sizes. In this paper, we first investigate the deficiency of the existing curve detection methods…
Compressed CSI Feedback With Learned Measurement Matrix for mmWave Massive MIMO
Pengxia Wu, Zichuan Liu, Julian Cheng
A major challenge to implement the compressed sensing method for channel state information (CSI) acquisition lies in the design of a well-performed measurement matrix to reduce the…