28 citations · 49 across the 8 of their papers we have counts for
8 papers
GANet: Goal Area Network for Motion Forecasting
Mingkun Wang, Xinge Zhu, Changqian Yu +7
Predicting the future motion of road participants is crucial for autonomous driving but is extremely challenging due to staggering motion uncertainty. Recently, most motion forecas…
CORE: Consistent Representation Learning for Face Forgery Detection
Yunsheng Ni, Depu Meng, Changqian Yu +3
Face manipulation techniques develop rapidly and arouse widespread public concerns. Despite that vanilla convolutional neural networks achieve acceptable performance, they suffer f…
Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for Trajectory Prediction
Hao Zhou, Dongchun Ren, Xu Yang +2
Pedestrian trajectory prediction is a key technology in many applications such as video surveillance, social robot navigation, and autonomous driving, and significant progress has…
An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning
Yuchen Sun, Dongchun Ren, Shiqi Lian +2
Trajectory planning is a fundamental task on various autonomous driving platforms, such as social robotics and self-driving cars. Many trajectory planning algorithms use a referenc…
Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene
Yanliang Zhu, Dongchun Ren, Mingyu Fan +3
Trajectory forecasting, or trajectory prediction, of multiple interacting agents in dynamic scenes, is an important problem for many applications, such as robotic systems and auton…
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving
Yanliang Zhu, Deheng Qian, Dongchun Ren +1
The comprehension of environmental traffic situation largely ensures the driving safety of autonomous vehicles. Recently, the mission has been investigated by plenty of researches,…
StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology
Yanliang Zhu, Deheng Qian, Dongchun Ren +1
Pedestrian trajectory prediction is crucial for many important applications. This problem is a great challenge because of complicated interactions among pedestrians. Previous metho…
On Study of the Binarized Deep Neural Network for Image Classification
Song Wang, Dongchun Ren, Li Chen +3
Recently, the deep neural network (derived from the artificial neural network) has attracted many researchers' attention by its outstanding performance. However, since this network…