b'Wenjie Pei'

research

∙ 08/27/2023

Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection

Effective image restoration with large-size corruptions, such as blind i...

0 Xin Feng, et al. ∙

research

∙ 08/09/2023

Scene-Generalizable Interactive Segmentation of Radiance Fields

Existing methods for interactive segmentation in radiance fields entail ...

0 Songlin Tang, et al. ∙

research

∙ 08/07/2023

Feature Decoupling-Recycling Network for Fast Interactive Segmentation

Recent interactive segmentation methods iteratively take source image, u...

0 Huimin Zeng, et al. ∙

research

∙ 08/06/2023

Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement

Although extensive research has been conducted on 3D point cloud segment...

0 Zhenhua Ning, et al. ∙

research

∙ 03/25/2023

Reliability-Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation

This paper aims to solve the video object segmentation (VOS) task in a s...

0 Zikun Zhou, et al. ∙

research

∙ 01/17/2023

Audio2Gestures: Generating Diverse Gestures from Audio

People may perform diverse gestures affected by various mental and physi...

0 Jing Li, et al. ∙

research

∙ 12/02/2022

Activating the Discriminability of Novel Classes for Few-shot Segmentation

Despite the remarkable success of existing methods for few-shot segmenta...

0 Dianwen Mei, et al. ∙

research

∙ 11/27/2022

Semantic-Aware Local-Global Vision Transformer

Vision Transformers have achieved remarkable progresses, among which Swi...

0 Jiatong Zhang, et al. ∙

research

∙ 10/30/2022

Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid

Few-shot learning (FSL) targets at generalization of vision models towar...

0 Jing Xu, et al. ∙

research

∙ 08/30/2022

SSORN: Self-Supervised Outlier Removal Network for Robust Homography Estimation

The traditional homography estimation pipeline consists of four main ste...

13 Yi Li, et al. ∙

research

∙ 08/12/2022

Layout-Bridging Text-to-Image Synthesis

The crux of text-to-image synthesis stems from the difficulty of preserv...

5 Jiadong Liang, et al. ∙

research

∙ 07/25/2022

Learning Generalizable Latent Representations for Novel Degradations in Super Resolution

Typical methods for blind image super-resolution (SR) focus on dealing w...

3 Fengjun Li, et al. ∙

research

∙ 07/25/2022

Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations

While fine-tuning based methods for few-shot object detection have achie...

0 Wenjie Pei, et al. ∙

research

∙ 07/23/2022

Self-Support Few-Shot Semantic Segmentation

Existing few-shot segmentation methods have achieved great progress base...

0 Qi Fan, et al. ∙

research

∙ 07/22/2022

Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection

Most of existing methods for few-shot object detection follow the fine-t...

0 Shuang Wu, et al. ∙

research

∙ 07/20/2022

Learning Sequence Representations by Non-local Recurrent Neural Memory

The key challenge of sequence representation learning is to capture the ...

0 Wenjie Pei, et al. ∙

research

∙ 07/16/2022

Global-Local Stepwise Generative Network for Ultra High-Resolution Image Restoration

While the research on image background restoration from regular size of ...

0 Xin Feng, et al. ∙

research

∙ 07/15/2022

Decoupling Recognition from Detection: Single Shot Self-Reliant Scene Text Spotter

Typical text spotters follow the two-stage spotting strategy: detect the...

0 Jingjing Wu, et al. ∙

research

∙ 03/30/2022

Global Tracking via Ensemble of Local Trackers

The crux of long-term tracking lies in the difficulty of tracking the ta...

0 Zikun Zhou, et al. ∙

research

∙ 12/14/2021

Exploring Category-correlated Feature for Few-shot Image Classification

Few-shot classification aims to adapt classifiers to novel classes with ...

2 Jing Xu, et al. ∙

research

∙ 12/04/2021

U2-Former: A Nested U-shaped Transformer for Image Restoration

While Transformer has achieved remarkable performance in various high-le...

0 Haobo Ji, et al. ∙

research

∙ 11/17/2021

Pedestrian Detection by Exemplar-Guided Contrastive Learning

Typical methods for pedestrian detection focus on either tackling mutual...

0 Zebin Lin, et al. ∙

research

∙ 11/09/2021

Label-Aware Distribution Calibration for Long-tailed Classification

Real-world data usually present long-tailed distributions. Training on i...

0 Chaozheng Wang, et al. ∙

research

∙ 10/10/2021

Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in High-order Latent Domain

The crux of single-channel speech separation is how to encode the mixtur...

0 Zengwei Yao, et al. ∙

research

∙ 10/01/2021

Generative Memory-Guided Semantic Reasoning Model for Image Inpainting

Most existing methods for image inpainting focus on learning the intra-i...

0 Xin Feng, et al. ∙

research

∙ 08/15/2021

Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders

Generating conversational gestures from speech audio is challenging due ...

0 Jing Li, et al. ∙

research

∙ 08/08/2021

Saliency-Associated Object Tracking

Most existing trackers based on deep learning perform tracking in a holi...

0 Zikun Zhou, et al. ∙

research

∙ 04/15/2021

SiamCorners: Siamese Corner Networks for Visual Tracking

The current Siamese network based on region proposal network (RPN) has a...

4 Kai Yang, et al. ∙

research

∙ 10/09/2020

Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images

Restoring the clean background from the superimposed images containing a...

1 Xin Feng, et al. ∙

research

∙ 07/24/2020

Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation

Partially supervised instance segmentation aims to perform learning on l...

0 Qi Fan, et al. ∙

research

∙ 12/18/2019

CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis

Typical methods for text-to-image synthesis seek to design effective gen...

7 Jiadong Liang, et al. ∙

research

∙ 08/31/2019

Push for Quantization: Deep Fisher Hashing

Current massive datasets demand light-weight access for analysis. Discre...

0 Yunqiang Li, et al. ∙

research

∙ 08/30/2019

Reflective Decoding Network for Image Captioning

State-of-the-art image captioning methods mostly focus on improving visu...

1 Lei Ke, et al. ∙

research

∙ 08/28/2019

Orthogonal Center Learning with Subspace Masking for Person Re-Identification

Person re-identification aims to identify whether pairs of images belong...

0 Weinong Wang, et al. ∙

research

∙ 08/26/2019

Non-local Recurrent Neural Memory for Supervised Sequence Modeling

Typical methods for supervised sequence modeling are built upon the recu...

29 Canmiao Fu, et al. ∙

research

∙ 05/10/2019

Memory-Attended Recurrent Network for Video Captioning

Typical techniques for video captioning follow the encoder-decoder frame...

0 Wenjie Pei, et al. ∙

research

∙ 04/03/2018

Unsupervised Learning of Sequence Representations by Autoencoders

Traditional machine learning models have problems with handling sequence...

0 Wenjie Pei, et al. ∙

research

∙ 11/23/2017

Attended End-to-end Architecture for Age Estimation from Facial Expression Videos

The main challenges of age estimation from facial expression videos lie ...

0 Wenjie Pei, et al. ∙

research

∙ 09/05/2017

Interacting Attention-gated Recurrent Networks for Recommendation

Capturing the temporal dynamics of user preferences over items is import...

0 Wenjie Pei, et al. ∙

research

∙ 12/01/2016

Temporal Attention-Gated Model for Robust Sequence Classification

Typical techniques for sequence classification are designed for well-seg...

0 Wenjie Pei, et al. ∙

research

∙ 03/15/2016

Modeling Time Series Similarity with Siamese Recurrent Networks

Traditional techniques for measuring similarities between time series ar...

0 Wenjie Pei, et al. ∙

research

∙ 06/16/2015

Time Series Classification using the Hidden-Unit Logistic Model

We present a new model for time series classification, called the hidden...

0 Wenjie Pei, et al. ∙

Wenjie Pei

Featured Co-authors