Search Results for author: Hao Shao

Found 8 papers, 4 papers with code

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

no code implementations26 Mar 2021 Guangwei Gao, Hao Shao, Yi Yu, Fei Wu, Meng Yang

This paper pays close attention to the cross-modality visible-infrared person re-identification (VI Re-ID) task, which aims to match human 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 Self-Supervised Learning +2

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

1 code implementation16 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.

Spatio-Temporal Action Localization Temporal Action Localization

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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