Search Results for author: Jianping Wu

Found 11 papers, 3 papers with code

COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning

no code implementations1 Jul 2022 Duowei Li, Jianping Wu, Feng Zhu, Tianyi Chen, Yiik Diew Wong

The simulation results demonstrate that the model is able to: (1) achieve satisfactory convergence performances; (2) adaptively determine platoon size in response to varying traffic conditions; and (3) completely avoid deadlocks at the intersection.

Autonomous Vehicles Fairness

Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach

no code implementations24 Jun 2022 Duowei Li, Jianping Wu, Feng Zhu, Tianyi Chen, Yiik Diew Wong

As a strategy to reduce travel delay and enhance energy efficiency, platooning of connected and autonomous vehicles (CAVs) at non-signalized intersections has become increasingly popular in academia.

Autonomous Vehicles

Weakly-supervised Action Localization via Hierarchical Mining

no code implementations22 Jun 2022 Jia-Chang Feng, Fa-Ting Hong, Jia-Run Du, Zhongang Qi, Ying Shan, XiaoHu Qie, Wei-Shi Zheng, Jianping Wu

In this work, we propose a hierarchical mining strategy under video-level and snippet-level manners, i. e., hierarchical supervision and hierarchical consistency mining, to maximize the usage of the given annotations and prediction-wise consistency.

Action Localization Multiple Instance Learning +2

Masked Image Modeling with Denoising Contrast

no code implementations19 May 2022 Kun Yi, Yixiao Ge, Xiaotong Li, Shusheng Yang, Dian Li, Jianping Wu, Ying Shan, XiaoHu Qie

Since the development of self-supervised visual representation learning from contrastive learning to masked image modeling, there is no significant difference in essence, that is, how to design proper pretext tasks for vision dictionary look-up.

Contrastive Learning Denoising +6

MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval

1 code implementation26 Apr 2022 Yuying Ge, Yixiao Ge, Xihui Liu, Alex Jinpeng Wang, Jianping Wu, Ying Shan, XiaoHu Qie, Ping Luo

Dominant pre-training work for video-text retrieval mainly adopt the "dual-encoder" architectures to enable efficient retrieval, where two separate encoders are used to contrast global video and text representations, but ignore detailed local semantics.

Action Recognition Text to Video Retrieval +2

Revitalize Region Feature for Democratizing Video-Language Pre-training

2 code implementations15 Mar 2022 Guanyu Cai, Yixiao Ge, Alex Jinpeng Wang, Rui Yan, Xudong Lin, Ying Shan, Lianghua He, XiaoHu Qie, Jianping Wu, Mike Zheng Shou

Recent dominant methods for video-language pre-training (VLP) learn transferable representations from the raw pixels in an end-to-end manner to achieve advanced performance on downstream video-language tasks.

Question Answering Text to Video Retrieval +3

All in One: Exploring Unified Video-Language Pre-training

1 code implementation14 Mar 2022 Alex Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, XiaoHu Qie, Mike Zheng Shou

In this work, we for the first time introduce an end-to-end video-language model, namely \textit{all-in-one Transformer}, that embeds raw video and textual signals into joint representations using a unified backbone architecture.

Language Modelling Multiple-choice +10

Cyclic Graph Attentive Match Encoder (CGAME): A Novel Neural Network For OD Estimation

no code implementations26 Nov 2021 Guanzhou Li, Yujing He, Jianping Wu, Duowei Li

As a powerful nonlinear approximator, deep learning is an ideal data-driven method to provide a novel perspective for OD estimation.

Management

Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform

no code implementations ICCV 2021 Jianping Wu, Liang Zhang, Ye Liu, Ke Chen

We propose a novel approach that integrates under-parameterized RANSAC (UPRANSAC) with Hough Transform to detect vanishing points (VPs) from un-calibrated monocular images.

BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training

no code implementations NeurIPS 2018 Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shu-Tao Xia, Jianping Wu

In distributed machine learning (DML), the network performance between machines significantly impacts the speed of iterative training.

Discovery of Important Crossroads in Road Network using Massive Taxi Trajectories

no code implementations9 Jul 2014 Ming Xu, Jianping Wu, Yiman Du, Haohan Wang, Geqi Qi, Kezhen Hu, Yun-Peng Xiao

However, none of existing approaches addresses the problem of identifying network-wide important crossroads in real road network.

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