b'Tianshui Chen'

research

∙ 05/31/2023

Perception and Semantic Aware Regularization for Sequential Confidence Calibration

Deep sequence recognition (DSR) models receive increasing attention due ...

0 Zhenghua Peng, et al. ∙

research

∙ 03/20/2023

Open-World Pose Transfer via Sequential Test-Time Adaption

Pose transfer aims to transfer a given person into a specified posture, ...

0 Junyang Chen, et al. ∙

research

∙ 01/03/2023

OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup

Image Virtual try-on aims at replacing the cloth on a personal image wit...

1 Zhijing Yang, et al. ∙

research

∙ 11/15/2022

Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels

As a promising solution of reducing annotation cost, training multi-labe...

0 Tao Pu, et al. ∙

research

∙ 05/23/2022

Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels

Multi-label image recognition with partial labels (MLR-PL), in which som...

0 Tianshui Chen, et al. ∙

research

∙ 04/23/2022

Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation

Unpaired image-to-image translation aims to find a mapping between the s...

0 Yupei Lin, et al. ∙

research

∙ 04/08/2022

Semantic Representation and Dependency Learning for Multi-Label Image Recognition

Recently many multi-label image recognition (MLR) works have made signif...

0 Tao Pu, et al. ∙

research

∙ 03/04/2022

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels

Training the multi-label image recognition models with partial labels, i...

0 Tao Pu, et al. ∙

research

∙ 12/21/2021

Structured Semantic Transfer for Multi-Label Recognition with Partial Labels

Multi-label image recognition is a fundamental yet practical task becaus...

0 Tianshui Chen, et al. ∙

research

∙ 11/30/2021

Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction

Land remote sensing analysis is a crucial research in earth science. In ...

0 Lingbo Liu, et al. ∙

research

∙ 12/29/2020

AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition

Recognizing human emotion/expressions automatically is quite an expected...

0 Tao Pu, et al. ∙

research

∙ 09/20/2020

Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition

Recognizing multiple labels of an image is a practical yet challenging t...

2 Tianshui Chen, et al. ∙

research

∙ 08/03/2020

Active Object Search

In this work, we investigate an Active Object Search (AOS) task that is ...

12 Jie Wu, et al. ∙

research

∙ 08/03/2020

Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition

Data inconsistency and bias are inevitable among different facial expres...

0 Yuan Xie, et al. ∙

research

∙ 07/21/2020

Fine-Grained Image Captioning with Global-Local Discriminative Objective

Significant progress has been made in recent years in image captioning, ...

0 Jie Wu, et al. ∙

research

∙ 03/23/2020

Efficient Crowd Counting via Structured Knowledge Transfer

Crowd counting is an application-oriented task and its inference efficie...

5 Lingbo Liu, et al. ∙

research

∙ 11/21/2019

Knowledge Graph Transfer Network for Few-Shot Recognition

Few-shot learning aims to learn novel categories from very few samples g...

0 Riquan Chen, et al. ∙

research

∙ 08/20/2019

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition

Recognizing multiple labels of images is a practical and challenging tas...

0 Tianshui Chen, et al. ∙

research

∙ 08/12/2019

Semi-Supervised Video Salient Object Detection Using Pseudo-Labels

Deep learning-based video salient object detection has recently achieved...

2 Pengxiang Yan, et al. ∙

research

∙ 03/08/2019

Knowledge-Embedded Routing Network for Scene Graph Generation

To understand a scene in depth not only involves locating/recognizing in...

0 Tianshui Chen, et al. ∙

research

∙ 08/25/2018

Neural Task Planning with And-Or Graph Representations

This paper focuses on semantic task planning, i.e., predicting a sequenc...

12 Tianshui Chen, et al. ∙

research

∙ 08/14/2018

Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding

Object categories inherently form a hierarchy with different levels of c...

2 Tianshui Chen, et al. ∙

research

∙ 07/02/2018

Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition

Humans can naturally understand an image in depth with the aid of rich k...

10 Tianshui Chen, et al. ∙

research

∙ 07/02/2018

Deep Reasoning with Knowledge Graph for Social Relationship Understanding

Social relationships (e.g., friends, couple etc.) form the basis of the ...

8 Zhouxia Wang, et al. ∙

research

∙ 12/20/2017

Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks

Accelerating deep neural networks (DNNs) has been attracting increasing ...

0 Tianshui Chen, et al. ∙

research

∙ 12/20/2017

Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition

Recognizing multiple labels of images is a fundamental but challenging t...

0 Tianshui Chen, et al. ∙

research

∙ 11/08/2017

Multi-label Image Recognition by Recurrently Discovering Attentional Regions

This paper proposes a novel deep architecture to address multi-label ima...

0 Zhouxia Wang, et al. ∙

research

∙ 10/04/2017

Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning

Sketch portrait generation benefits a wide range of applications such as...

0 Dongyu Zhang, et al. ∙

research

∙ 07/15/2017

Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction

This paper aims at task-oriented action prediction, i.e., predicting a s...

0 Liang Lin, et al. ∙

research

∙ 12/04/2016

Learning to Segment Object Proposals via Recursive Neural Networks

To avoid the exhaustive search over locations and scales, current state-...

0 Tianshui Chen, et al. ∙

research

∙ 02/13/2016

Character Proposal Network for Robust Text Extraction

Maximally stable extremal regions (MSER), which is a popular method to g...

0 Shuye Zhang, et al. ∙

research

∙ 11/13/2015

DISC: Deep Image Saliency Computing via Progressive Representation Learning

Salient object detection increasingly receives attention as an important...

0 Tianshui Chen, et al. ∙

Tianshui Chen

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