b'Fei Yang'

research

∙ 08/31/2023

ScrollNet: Dynamic Weight Importance for Continual Learning

The principle underlying most existing continual learning (CL) methods i...

0 Fei Yang, et al. ∙

research

∙ 07/16/2023

Recognition of Mental Adjectives in An Efficient and Automatic Style

In recent years, commonsense reasoning has received more and more attent...

0 Fei Yang, et al. ∙

research

∙ 07/05/2023

Formally Verifying a Real World Smart Contract

Nowadays, smart contracts have become increasingly popular and, as with ...

0 Alexandre Mota, et al. ∙

research

∙ 03/24/2023

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited

Recommendation models that utilize unique identities (IDs) to represent ...

0 Zheng Yuan, et al. ∙

research

∙ 11/22/2022

Gated Class-Attention with Cascaded Feature Drift Compensation for Exemplar-free Continual Learning of Vision Transformers

In this paper we propose a new method for exemplar-free class incrementa...

0 Marco Cotogni, et al. ∙

research

∙ 10/03/2022

Attention Distillation: self-supervised vision transformer students need more guidance

Self-supervised learning has been widely applied to train high-quality v...

0 Kai Wang, et al. ∙

research

∙ 07/13/2022

SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision

Accurate semantic segmentation models typically require significant comp...

0 Danna Xue, et al. ∙

research

∙ 06/18/2022

Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation

Automatic deep learning segmentation models has been shown to improve bo...

0 Yingao Liu, et al. ∙

research

∙ 06/14/2022

Exploring evolution-based -free protein language models as protein function predictors

Large-scale Protein Language Models (PLMs) have improved performance in ...

0 Mingyang Hu, et al. ∙

research

∙ 06/02/2022

Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling

Domain adaptation (DA) aims to transfer knowledge learned from a labeled...

0 Jian Hu, et al. ∙

research

∙ 05/13/2022

Slimmable Video Codec

Neural video compression has emerged as a novel paradigm combining train...

2 Zhaocheng Liu, et al. ∙

research

∙ 05/11/2022

Towards Unified Prompt Tuning for Few-shot Text Classification

Prompt-based fine-tuning has boosted the performance of Pre-trained Lang...

0 Jianing Wang, et al. ∙

research

∙ 12/21/2021

Real-time Street Human Motion Capture

In recent years, motion capture technology using computers has developed...

0 Yanquan Chen, et al. ∙

research

∙ 12/18/2021

An effective coaxiality error measurement for twist drill based on line structured light sensor

Since the structure of twist drill is complex, it is hard and challengin...

2 Ailing Cheng, et al. ∙

research

∙ 11/25/2021

A Novel Framework for Image-to-image Translation and Image Compression

Data-driven paradigms using machine learning are becoming ubiquitous in ...

0 Fei Yang, et al. ∙

research

∙ 10/28/2021

OneFlow: Redesign the Distributed Deep Learning Framework from Scratch

Deep learning frameworks such as TensorFlow and PyTorch provide a produc...

0 Jinhui Yuan, et al. ∙

research

∙ 10/12/2021

Continuous Conditional Random Field Convolution for Point Cloud Segmentation

Point cloud segmentation is the foundation of 3D environmental perceptio...

0 Fei Yang, et al. ∙

research

∙ 09/13/2021

CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

In this paper, we take the advantage of previous pre-trained models (PTM...

0 Yunfan Shao, et al. ∙

research

∙ 08/19/2021

3D Shapes Local Geometry Codes Learning with SDF

A signed distance function (SDF) as the 3D shape description is one of t...

0 Shun Yao, et al. ∙

research

∙ 04/19/2021

DANICE: Domain adaptation without forgetting in neural image compression

Neural image compression (NIC) is a new coding paradigm where coding cap...

6 Sudeep Katakol, et al. ∙

research

∙ 03/29/2021

Slimmable Compressive Autoencoders for Practical Neural Image Compression

Neural image compression leverages deep neural networks to outperform tr...

0 Fei Yang, et al. ∙

research

∙ 03/27/2021

Representation, Analysis of Bayesian Refinement Approximation Network: A Survey

After an artificial model background subtraction, the pixels have been l...

0 Ningbo Zhu, et al. ∙

research

∙ 12/05/2020

Different Approaches Towards Vertical Track Irregularity Prediction – A Comparative Study

Railway systems require regular manual maintenance, a large part of whic...

0 Yutao Chen, et al. ∙

research

∙ 10/19/2020

Gaussian Constrained Attention Network for Scene Text Recognition

Scene text recognition has been a hot topic in computer vision. Recent m...

0 Zhi Qiao, et al. ∙

research

∙ 07/27/2020

Two-Level Residual Distillation based Triple Network for Incremental Object Detection

Modern object detection methods based on convolutional neural network su...

6 Dongbao Yang, et al. ∙

research

∙ 05/23/2020

Self-Training for Domain Adaptive Scene Text Detection

Though deep learning based scene text detection has achieved great progr...

30 Yudi Chen, et al. ∙

research

∙ 12/11/2019

Variable Rate Deep Image Compression with Modulated Autoencoder

Variable rate is a requirement for flexible and adaptable image and vide...

0 Fei Yang, et al. ∙

research

∙ 07/16/2019

Efficient Segmentation: Learning Downsampling Near Semantic Boundaries

Many automated processes such as auto-piloting rely on a good semantic s...

1 Dmitrii Marin, et al. ∙

research

∙ 05/06/2019

Sparse data interpolation using the geodesic distance affinity space

In this paper, we adapt the geodesic distance-based recursive filter to ...

0 Mikhail G. Mozerov, et al. ∙

research

∙ 11/06/2018

In-the-wild Facial Expression Recognition in Extreme Poses

In the computer research area, facial expression recognition is a hot re...

22 Fei Yang, et al. ∙

research

∙ 06/25/2018

EAST Real-Time VOD System Based on MDSplus

As with EAST (Experimental Advanced Superconducting Tokamak) experimenta...

0 J. Y. Xia, et al. ∙

research

∙ 05/24/2018

Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

Random data augmentation is a critical technique to avoid overfitting in...

2 Xi Peng, et al. ∙

research

∙ 01/19/2018

Quality Classified Image Analysis with Application to Face Detection and Recognition

Motion blur, out of focus, insufficient spatial resolution, lossy compre...

0 Fei Yang, et al. ∙

research

∙ 07/02/2014

Deep Poselets for Human Detection

We address the problem of detecting people in natural scenes using a par...

0 Lubomir Bourdev, et al. ∙

research

∙ 11/06/2013

Face Recognition via Globality-Locality Preserving Projections

We present an improved Locality Preserving Projections (LPP) method, nam...

0 Sheng Huang, et al. ∙

research

∙ 02/24/2012

Efficient and Effective Volume Visualization with Enhanced Isosurface Rendering

Compared with full volume rendering, isosurface rendering has several we...

0 Fei Yang, et al. ∙

Fei Yang

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