Search Results for author: Haoxin Li

Found 8 papers, 4 papers with code

Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction

no code implementations5 Dec 2023 Zilin Du, Haoxin Li, Xu Guo, Boyang Li

Comparing our method to direct training on synthetic data, we observed a significant improvement of 24. 06% F1 with synthetic text and 26. 42% F1 with synthetic images.

Relation Relation Extraction

NarrowBERT: Accelerating Masked Language Model Pretraining and Inference

1 code implementation11 Jan 2023 Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith

We propose NarrowBERT, a modified transformer encoder that increases the throughput for masked language model pretraining by more than $2\times$.

Language Modelling NER +2

Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground

1 code implementation ICCV 2023 Haoxin Li, YuAn Liu, Hanwang Zhang, Boyang Li

The video background is clearly a source of static bias, but the video foreground, such as the clothing of the actor, can also provide static bias.

Action Recognition Data Augmentation +1

Graph-Based High-Order Relation Modeling for Long-Term Action Recognition

no code implementations CVPR 2021 Jiaming Zhou, Kun-Yu Lin, Haoxin Li, Wei-Shi Zheng

In this paper, we propose a Graph-based High-order Relation Modeling (GHRM) module to exploit the high-order relations in the long-term actions for long-term action recognition.

Action Recognition Long-video Activity Recognition +2

Adaptive Interaction Modeling via Graph Operations Search

1 code implementation CVPR 2020 Haoxin Li, Wei-Shi Zheng, Yu Tao, Haifeng Hu, Jian-Huang Lai

We propose to search the network structures with differentiable architecture search mechanism, which learns to construct adaptive structures for different videos to facilitate adaptive interaction modeling.

Action Analysis

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM

1 code implementation26 Jul 2019 Shuosen Guan, Haoxin Li, Wei-Shi Zheng

Most of current Convolution Neural Network (CNN) based methods for optical flow estimation focus on learning optical flow on synthetic datasets with groundtruth, which is not practical.

Action Recognition Optical Flow Estimation

Deep Dual Relation Modeling for Egocentric Interaction Recognition

no code implementations CVPR 2019 Haoxin Li, Yijun Cai, Wei-Shi Zheng

To exploit the strong relations for egocentric interaction recognition, we introduce a dual relation modeling framework which learns to model the relations between the camera wearer and the interactor based on the individual action representations of the two persons.

Relation

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