activity
20172019
most citedInteraction-aware Kalman Neural Networks for Trajectory Prediction

54 citations · 75 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2019★ 5 cited

Lattice CNNs for Matching Based Chinese Question Answering

Yuxuan Lai, Yansong Feng, Xiaohan Yu +3

Short text matching often faces the challenges that there are great word mismatch and expression diversity between the two texts, which would be further aggravated in languages lik…

cs.RO2019★ 54 cited

Interaction-aware Kalman Neural Networks for Trajectory Prediction

Ce Ju, Zheng Wang, Cheng Long +2

Forecasting the motion of surrounding obstacles (vehicles, bicycles, pedestrians and etc.) benefits the on-road motion planning for intelligent and autonomous vehicles. Complex sce…

cs.CV2018★ 1 cited

Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection

Ziqi Zhou, Zheng Wang, Huchuan Lu +2

The existing still-static deep learning based saliency researches do not consider the weighting and highlighting of extracted features from different layers, all features contribut…

cs.LG2018★ 1 cited

Composite Binary Decomposition Networks

You Qiaoben, Zheng Wang, Jianguo Li +3

Binary neural networks have great resource and computing efficiency, while suffer from long training procedure and non-negligible accuracy drops, when comparing to the full-precisi…

cs.DC2017★ 14 cited

Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts Approach

Vicent Sanz Marco, Ben Taylor, Barry Porter +1

Data analytic applications built upon big data processing frameworks such as Apache Spark are an important class of applications. Many of these applications are not latency-sensiti…