Search Results for author: Xiao He

Found 18 papers, 6 papers with code

ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers

no code implementations7 May 2024 Jinke Li, Xiao He, Chonghua Zhou, Xiaoqiang Cheng, Yang Wen, Dan Zhang

Leveraging the proposed view attention as well as an additional multi-frame streaming temporal attention, we introduce ViewFormer, a vision-centric transformer-based framework for spatiotemporal feature aggregation.

3D Object Detection object-detection

Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision

2 code implementations14 Feb 2024 Zhaoqing Wang, Xiaobo Xia, Ziye Chen, Xiao He, Yandong Guo, Mingming Gong, Tongliang Liu

While existing weakly-supervised approaches leverage image-text pairs to reduce the expansive annotation cost, the lack of mask supervision makes it difficult for the model to locate multiple instances and accurately group pixels with similar semantics, significantly hampering versatility and performance.

Language Modelling Segmentation

Evolutionary Retrosynthetic Route Planning

no code implementations8 Oct 2023 Yan Zhang, Hao Hao, Xiao He, Shuanhu Gao, Aimin Zhou

The experimental results show that, in comparison to the Monte Carlo tree search algorithm, EA significantly reduces the number of calling single-step model by an average of 53. 9%.

Multi-step retrosynthesis Retrosynthesis

Diff-Privacy: Diffusion-based Face Privacy Protection

no code implementations11 Sep 2023 Xiao He, Mingrui Zhu, Dongxin Chen, Nannan Wang, Xinbo Gao

In this paper, we unify the task of anonymization and visual identity information hiding and propose a novel face privacy protection method based on diffusion models, dubbed Diff-Privacy.

Denoising Scheduling

Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation

1 code implementation14 Jun 2023 Xiao He, Chang Tang, Xinwang Liu, Wei zhang, Kun Sun, Jiangfeng Xu

S2ADet comprises a hyperspectral information decoupling (HID) module, a two-stream feature extraction network, and a one-stage detection head.

Object object-detection +1

OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting

1 code implementation4 Apr 2023 Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li

Extensive experiments on real-world benchmark datasets for downstream time series anomaly detection and forecasting tasks demonstrate that OneShotSTL is from 10 to over 1, 000 times faster than the state-of-the-art methods, while still providing comparable or even better accuracy.

Anomaly Detection Time Series +1

CADM: Confusion Model-based Detection Method for Real-drift in Chunk Data Stream

no code implementations25 Mar 2023 Songqiao Hu, Zeyi Liu, Xiao He

When a new data chunk arrives, we use both real labels and pseudo labels to update the model after prediction and drift detection.

Few-shot Font Generation by Learning Style Difference and Similarity

no code implementations24 Jan 2023 Xiao He, Mingrui Zhu, Nannan Wang, Xinbo Gao, Heng Yang

To address this issue, we propose a novel font generation approach by learning the Difference between different styles and the Similarity of the same style (DS-Font).

Contrastive Learning Font Generation

All-to-key Attention for Arbitrary Style Transfer

no code implementations ICCV 2023 Mingrui Zhu, Xiao He, Nannan Wang, Xiaoyu Wang, Xinbo Gao

In this paper, we propose a novel all-to-key attention mechanism -- each position of content features is matched to stable key positions of style features -- that is more in line with the characteristics of style transfer.

Position Style Transfer

Detection and Isolation of Wheelset Intermittent Over-creeps for Electric Multiple Units Based on a Weighted Moving Average Technique

no code implementations14 May 2020 Yinghong Zhao, Xiao He, Donghua Zhou, Michael G. Pecht

Different from the existing moving average (MA) technique that puts an equal weight on samples within a time window, WMA uses correlation information to find an optimal weight vector (OWV), so as to better improve the index's robustness and sensitivity.

Learning Discrete Structures for Graph Neural Networks

2 code implementations28 Mar 2019 Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He

With this work, we propose to jointly learn the graph structure and the parameters of graph convolutional networks (GCNs) by approximately solving a bilevel program that learns a discrete probability distribution on the edges of the graph.

Music Genre Recognition Node Classification

Robust Continuous Co-Clustering

no code implementations14 Feb 2018 Xiao He, Luis Moreira-Matias

Clustering consists of grouping together samples giving their similar properties.

Clustering

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