Search Results for author: Hao Shao

Found 12 papers, 7 papers with code

ReasonNet: End-to-End Driving with Temporal and Global Reasoning

no code implementations CVPR 2023 Hao Shao, Letian Wang, RuoBing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu

The large-scale deployment of autonomous vehicles is yet to come, and one of the major remaining challenges lies in urban dense traffic scenarios.

Autonomous Vehicles

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

1 code implementation8 May 2023 Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, RuoBing Chen, Yu Liu, Steven L. Waslander

Inspired by this, we propose ASAP-RL, an efficient reinforcement learning algorithm for autonomous driving that simultaneously leverages motion skills and expert priors.

Autonomous Driving reinforcement-learning

Blending Anti-Aliasing into Vision Transformer

no code implementations NeurIPS 2021 Shengju Qian, Hao Shao, Yi Zhu, Mu Li, Jiaya Jia

In this work, we analyze the uncharted problem of aliasing in vision transformer and explore to incorporate anti-aliasing properties.

Leaning Compact and Representative Features for Cross-Modality Person Re-Identification

1 code implementation26 Mar 2021 Guangwei Gao, Hao Shao, Fei Wu, Meng Yang, Yi Yu

This paper pays close attention to the cross-modality visible-infrared person re-identification (VI Re-ID) task, which aims to match pedestrian samples between visible and infrared modes.

Cross-Modality Person Re-identification Knowledge Distillation +1

Self-supervised Temporal Learning

no code implementations1 Jan 2021 Hao Shao, Yu Liu, Hongsheng Li

Inspired by spatial-based contrastive SSL, we show that significant improvement can be achieved by a proposed temporal-based contrastive learning approach, which includes three novel and efficient modules: temporal augmentations, temporal memory bank and SSTL loss.

Contrastive Learning Retrieval +3

Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020

no code implementations20 Jul 2020 Haisheng Su, Jinyuan Feng, Hao Shao, Zhenyu Jiang, Manyuan Zhang, Wei Wu, Yu Liu, Hongsheng Li, Junjie Yan

Specifically, in order to generate high-quality proposals, we consider several factors including the video feature encoder, the proposal generator, the proposal-proposal relations, the scale imbalance, and ensemble strategy.

Temporal Action Localization

1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020

2 code implementations16 Jun 2020 Siyu Chen, Junting Pan, Guanglu Song, Manyuan Zhang, Hao Shao, Ziyi Lin, Jing Shao, Hongsheng Li, Yu Liu

This technical report introduces our winning solution to the spatio-temporal action localization track, AVA-Kinetics Crossover, in ActivityNet Challenge 2020.

Relation Network Spatio-Temporal Action Localization +1

Top-1 Solution of Multi-Moments in Time Challenge 2019

1 code implementation12 Mar 2020 Manyuan Zhang, Hao Shao, Guanglu Song, Yu Liu, Junjie Yan

In this technical report, we briefly introduce the solutions of our team 'Efficient' for the Multi-Moments in Time challenge in ICCV 2019.

Action Recognition Video Understanding

Temporal Interlacing Network

4 code implementations17 Jan 2020 Hao Shao, Shengju Qian, Yu Liu

In this way, a heavy temporal model is replaced by a simple interlacing operator.

Optical Flow Estimation Video Understanding

CCKS 2019 Shared Task on Inter-Personal Relationship Extraction

1 code implementation29 Aug 2019 Haitao Wang, Zhengqiu He, Tong Zhu, Hao Shao, Wenliang Chen, Min Zhang

In this paper, we present the task definition, the description of data and the evaluation methodology used during this shared task.

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