Search Results for author: Xiaopeng Wei

Found 18 papers, 5 papers with code

Distractor-aware Event-based Tracking

no code implementations22 Oct 2023 Yingkai Fu, Meng Li, Wenxi Liu, Yuanchen Wang, Jiqing Zhang, BaoCai Yin, Xiaopeng Wei, Xin Yang

We demonstrate that our tracker has superior performance against the state-of-the-art trackers in terms of both accuracy and efficiency.

Object Visual Object Tracking

In the Blink of an Eye: Event-based Emotion Recognition

1 code implementation6 Oct 2023 Haiwei Zhang, Jiqing Zhang, Bo Dong, Pieter Peers, Wenwei Wu, Xiaopeng Wei, Felix Heide, Xin Yang

To the best of our knowledge, our method is the first eye-based emotion recognition method that leverages event-based cameras and spiking neural network.

Emotion Recognition

Deep Polarization Reconstruction With PDAVIS Events

1 code implementation CVPR 2023 Haiyang Mei, Zuowen Wang, Xin Yang, Xiaopeng Wei, Tobi Delbruck

The polarization event camera PDAVIS is a novel bio-inspired neuromorphic vision sensor that reports both conventional polarization frames and asynchronous, continuously per-pixel polarization brightness changes (polarization events) with fast temporal resolution and large dynamic range.

Multi-view Spectral Polarization Propagation for Video Glass Segmentation

no code implementations ICCV 2023 Yu Qiao, Bo Dong, Ao Jin, Yu Fu, Seung-Hwan Baek, Felix Heide, Pieter Peers, Xiaopeng Wei, Xin Yang

In this paper, we present the first polarization-guided video glass segmentation propagation solution (PGVS-Net) that can robustly and coherently propagate glass segmentation in RGB-P video sequences.

Image Segmentation Segmentation +1

KnowAugNet: Multi-Source Medical Knowledge Augmented Medication Prediction Network with Multi-Level Graph Contrastive Learning

no code implementations25 Apr 2022 Yang An, Bo Jin, Xiaopeng Wei

Specifically, KnowAugNet first leverages the graph contrastive learning using graph attention network as the encoder to capture the implicit relations between homogeneous medical codes from the medical ontology graph and obtains the knowledge augmented medical codes embedding vectors.

Contrastive Learning Graph Attention +1

Glass Segmentation Using Intensity and Spectral Polarization Cues

no code implementations CVPR 2022 Haiyang Mei, Bo Dong, Wen Dong, Jiaxi Yang, Seung-Hwan Baek, Felix Heide, Pieter Peers, Xiaopeng Wei, Xin Yang

Transparent and semi-transparent materials pose significant challenges for existing scene understanding and segmentation algorithms due to their lack of RGB texture which impedes the extraction of meaningful features.

Scene Understanding Segmentation +1

Object Tracking by Jointly Exploiting Frame and Event Domain

2 code implementations ICCV 2021 Jiqing Zhang, Xin Yang, Yingkai Fu, Xiaopeng Wei, BaoCai Yin, Bo Dong

Our approach's effectiveness is enforced by a novel designed cross-domain attention schemes, which can effectively enhance features based on self- and cross-domain attention schemes; The adaptiveness is guarded by a specially designed weighting scheme, which can adaptively balance the contribution of the two domains.

Object Object Tracking

Depth-Aware Mirror Segmentation

no code implementations CVPR 2021 Haiyang Mei, Bo Dong, Wen Dong, Pieter Peers, Xin Yang, Qiang Zhang, Xiaopeng Wei

To exploit depth information in mirror segmentation, we first construct a large-scale RGB-D mirror segmentation dataset, which we subsequently employ to train a novel depth-aware mirror segmentation framework.

Segmentation

MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation

no code implementations22 Apr 2021 Yang An, Liang Zhang, Mao You, Xueqing Tian, Bo Jin, Xiaopeng Wei

Second, we incorporate a novel interactive long-short term memory network (InLSTM) to reinforce the interactions of multilevel medical sequences in EHR data with the help of the calibrated memory-augmented cell and an enhanced input gate.

Decision Making

Camouflaged Object Segmentation with Distraction Mining

1 code implementation CVPR 2021 Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, Deng-Ping Fan

In this paper, we strive to embrace challenges towards effective and efficient COS. To this end, we develop a bio-inspired framework, termed Positioning and Focus Network (PFNet), which mimics the process of predation in nature.

Camouflaged Object Segmentation Dichotomous Image Segmentation +3

Smart Scribbles for Image Mating

no code implementations31 Mar 2021 Xin Yang, Yu Qiao, Shaozhe Chen, Shengfeng He, BaoCai Yin, Qiang Zhang, Xiaopeng Wei, Rynson W. H. Lau

Image matting is an ill-posed problem that usually requires additional user input, such as trimaps or scribbles.

Image Matting

Automatic Comic Generation with Stylistic Multi-page Layouts and Emotion-driven Text Balloon Generation

no code implementations26 Jan 2021 Xin Yang, Zongliang Ma, Letian Yu, Ying Cao, BaoCai Yin, Xiaopeng Wei, Qiang Zhang, Rynson W. H. Lau

Finally, as opposed to using the same type of balloon as in previous works, we propose an emotion-aware balloon generation method to create different types of word balloons by analyzing the emotion of subtitles and audios.

Multi-scale Information Assembly for Image Matting

no code implementations7 Jan 2021 Yu Qiao, Yuhao Liu, Qiang Zhu, Xin Yang, Yuxin Wang, Qiang Zhang, Xiaopeng Wei

Image matting is a long-standing problem in computer graphics and vision, mostly identified as the accurate estimation of the foreground in input images.

Image Matting

Where Is My Mirror?

1 code implementation ICCV 2019 Xin Yang, Haiyang Mei, Ke Xu, Xiaopeng Wei, Bao-Cai Yin, Rynson W. H. Lau

To the best of our knowledge, this is the first work to address the mirror segmentation problem with a computational approach.

Segmentation

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors

no code implementations23 Aug 2019 Xin Yang, Haiyang Mei, Jiqing Zhang, Ke Xu, Bao-Cai Yin, Qiang Zhang, Xiaopeng Wei

Recently, single-image super-resolution has made great progress owing to the development of deep convolutional neural networks (CNNs).

Image Super-Resolution

Active Object Reconstruction Using a Guided View Planner

no code implementations8 May 2018 Xin Yang, Yuanbo Wang, Yaru Wang, Bao-Cai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu

Inspired by the recent advance of image-based object reconstruction using deep learning, we present an active reconstruction model using a guided view planner.

Object Object Reconstruction

Cannot find the paper you are looking for? You can Submit a new open access paper.