Search Results for author: Congcong Liu

Found 8 papers, 1 papers with code

AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention

no code implementations14 Jan 2021 Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi

We suggest that introducing an attention mechanism to infer the importance of different neighbors is critical for accurate trajectory prediction in scenes with varying crowd size.

Pedestrian Trajectory Prediction Trajectory Prediction

Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze

no code implementations23 Sep 2019 Yuying Chen, Congcong Liu, Ming Liu, Bertram E. Shi

Previous work has shown the power of deep reinforcement learning frameworks to train efficient policies.

Robot Navigation

Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments

no code implementations10 Jul 2019 Congcong Liu, Yuying Chen, Lei Tai, Ming Liu, Bertram Shi

Vision-based autonomous driving through imitation learning mimics the behaviors of human drivers by training on pairs of data of raw driver-view images and actions.

Autonomous Driving Imitation Learning

Gaze Training by Modulated Dropout Improves Imitation Learning

no code implementations17 Apr 2019 Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi

The basic idea behind behavioral cloning is to have the neural network learn from observing a human expert's behavior.

Autonomous Driving Imitation Learning

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