activity
20192021
most citedRobust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene

14 citations · 15 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

Xiangxiang Chu, Zhi Tian, Yuqing Wang +5

Very recently, a variety of vision transformer architectures for dense prediction tasks have been proposed and they show that the design of spatial attention is critical to their s…

cs.CV2020

End-to-End Video Instance Segmentation with Transformers

Yuqing Wang, Zhaoliang Xu, Xinlong Wang +4

Video instance segmentation (VIS) is the task that requires simultaneously classifying, segmenting and tracking object instances of interest in video. Recent methods typically deve…

cs.CV202014 cited

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…

cs.CV20201 cited

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,…

cs.CV2019

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…