b'Jinhui Tang'

research

∙ 07/14/2023

Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification

Occlusion perturbation presents a significant challenge in person re-ide...

0 Neng Dong, et al. ∙

research

∙ 06/12/2023

LUT-GCE: Lookup Table Global Curve Estimation for Fast Low-light Image Enhancement

We present an effective and efficient approach for low-light image enhan...

0 Changguang Wu, et al. ∙

research

∙ 05/09/2023

Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation (WSSS) models relying on class a...

0 Tao Chen, et al. ∙

research

∙ 04/18/2023

Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation

Thanks to the advantages of the friendly annotations and the satisfactor...

0 Chunyan Wang, et al. ∙

research

∙ 04/17/2023

VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

In this paper, we propose a Vision-Audio-Language Omni-peRception pretra...

0 Sihan Chen, et al. ∙

research

∙ 03/17/2023

Semantic Scene Completion with Cleaner Self

Semantic Scene Completion (SSC) transforms an image of single-view depth...

0 Fengyun Wang, et al. ∙

research

∙ 02/27/2023

Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution

Although numerous solutions have been proposed for image super-resolutio...

0 Long Sun, et al. ∙

research

∙ 01/23/2023

Triplet Contrastive Learning for Unsupervised Vehicle Re-identification

Part feature learning is a critical technology for finegrained semantic ...

0 Fei Shen, et al. ∙

research

∙ 12/05/2022

BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-based Video Colorization

How to effectively explore the colors of reference exemplars and propaga...

0 Yixin Yang, et al. ∙

research

∙ 11/21/2022

SLLEN: Semantic-aware Low-light Image Enhancement Network

How to effectively explore semantic feature is vital for low-light image...

0 Mingye Ju, et al. ∙

research

∙ 10/19/2022

CLIP-Driven Fine-grained Text-Image Person Re-identification

TIReID aims to retrieve the image corresponding to the given text query ...

1 Shuanglin Yan, et al. ∙

research

∙ 10/05/2022

Centralized Feature Pyramid for Object Detection

Visual feature pyramid has shown its superiority in both effectiveness a...

0 Yu Quan, et al. ∙

research

∙ 10/04/2022

Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment

Few-shot fine-grained recognition (FS-FGR) aims to recognize novel fine-...

0 Zican Zha, et al. ∙

research

∙ 09/23/2022

Accurate and Efficient Stereo Matching via Attention Concatenation Volume

Stereo matching is a fundamental building block for many vision and robo...

0 Gangwei Xu, et al. ∙

research

∙ 09/21/2022

Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions

Over the past few years, the rapid development of deep learning technolo...

0 Dong Zhang, et al. ∙

research

∙ 09/20/2022

Graph Reasoning Transformer for Image Parsing

Capturing the long-range dependencies has empirically proven to be effec...

0 Dong Zhang, et al. ∙

research

∙ 08/30/2022

Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search

Text-based person search is a challenging task that aims to search pedes...

0 Shuanglin Yan, et al. ∙

research

∙ 07/18/2022

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

Optical flow is an easily conceived and precious cue for advancing unsup...

0 Gensheng Pei, et al. ∙

research

∙ 05/31/2022

A Competitive Method for Dog Nose-print Re-identification

Vision-based pattern identification (such as face, fingerprint, iris etc...

3 Fei Shen, et al. ∙

research

∙ 05/30/2022

ShuffleMixer: An Efficient ConvNet for Image Super-Resolution

Lightweight and efficiency are critical drivers for the practical applic...

0 Long Sun, et al. ∙

research

∙ 11/11/2021

Fine-Grained Image Analysis with Deep Learning: A Survey

Fine-grained image analysis (FGIA) is a longstanding and fundamental pro...

17 Xiu-Shen Wei, et al. ∙

research

∙ 04/20/2021

CTNet: Context-based Tandem Network for Semantic Segmentation

Contextual information has been shown to be powerful for semantic segmen...

0 Zechao Li, et al. ∙

research

∙ 09/26/2020

Causal Intervention for Weakly-Supervised Semantic Segmentation

We present a causal inference framework to improve Weakly-Supervised Sem...

1 Dong Zhang, et al. ∙

research

∙ 07/18/2020

Feature Pyramid Transformer

Feature interactions across space and scales underpin modern visual reco...

18 Dong Zhang, et al. ∙

research

∙ 04/06/2020

Cascaded Deep Video Deblurring Using Temporal Sharpness Prior

We present a simple and effective deep convolutional neural network (CNN...

0 Jinshan Pan, et al. ∙

research

∙ 03/10/2020

Deep Blind Video Super-resolution

Existing video super-resolution (SR) algorithms usually assume that the ...

8 Jinshan Pan, et al. ∙

research

∙ 11/05/2019

Adaptive Context Network for Scene Parsing

Recent works attempt to improve scene parsing performance by exploring d...

20 Jun Fu, et al. ∙

research

∙ 09/29/2019

Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction

Human motion prediction aims to generate future motions based on the obs...

0 Xiangbo Shu, et al. ∙

research

∙ 08/18/2019

Image Formation Model Guided Deep Image Super-Resolution

We present a simple and effective image super-resolution algorithm that ...

3 Jinshan Pan, et al. ∙

research

∙ 08/06/2019

Aligning Linguistic Words and Visual Semantic Units for Image Captioning

Image captioning attempts to generate a sentence composed of several lin...

6 Longteng Guo, et al. ∙

research

∙ 08/01/2019

Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation

Image paragraph generation is the task of producing a coherent story (us...

1 Jing Wang, et al. ∙

research

∙ 06/26/2019

Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering

As the core of recommender system, collaborative filtering (CF) models t...

0 Xiaoyu Du, et al. ∙

research

∙ 05/25/2019

Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation

Constrained Concept Factorization (CCF) yields the enhanced representati...

0 Zhao Zhang, et al. ∙

research

∙ 02/02/2019

Supervised Quantization for Similarity Search

In this paper, we address the problem of searching for semantically simi...

0 Xiaojuan Wang, et al. ∙

research

∙ 01/09/2019

Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval

Hashing has been widely applied to multimodal retrieval on large-scale m...

14 Lu Jin, et al. ∙

research

∙ 11/11/2018

Fast Matrix Factorization with Non-Uniform Weights on Missing Data

Matrix factorization (MF) has been widely used to discover the low-rank ...

0 Xiangnan He, et al. ∙

research

∙ 11/01/2018

Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition

In this paper, we aim to address the problem of human interaction recogn...

10 Xiangbo Shu, et al. ∙

research

∙ 09/19/2018

Adversarial Training Towards Robust Multimedia Recommender System

With the prevalence of multimedia content on the Web, developing recomme...

0 Jinhui Tang, et al. ∙

research

∙ 08/12/2018

Outer Product-based Neural Collaborative Filtering

In this work, we contribute a new multi-layer neural network architectur...

0 Xiangnan He, et al. ∙

research

∙ 08/02/2018

Physics-Based Generative Adversarial Models for Image Restoration and Beyond

We present an algorithm to directly solve numerous image restoration pro...

6 Jinshan Pan, et al. ∙

research

∙ 05/14/2018

Learning Dual Convolutional Neural Networks for Low-Level Vision

In this paper, we propose a general dual convolutional neural network (D...

6 Jinshan Pan, et al. ∙

research

∙ 05/07/2018

Deep Ordinal Hashing with Spatial Attention

Hashing has attracted increasing research attentions in recent years due...

0 Lu Jin, et al. ∙

research

∙ 04/12/2018

Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging

Image retagging aims to improve tag quality of social images by refining...

0 Jinhui Tang, et al. ∙

research

∙ 02/28/2018

Hardware-Efficient Guided Image Filtering For Multi-Label Problem

The Guided Filter (GF) is well-known for its linear complexity. However,...

0 Longquan Dai, et al. ∙

research

∙ 12/15/2017

On the Sample Complexity of Multichannel Frequency Estimation via Convex Optimization

The use of multichannel data in estimating a set of frequencies is commo...

0 Zai Yang, et al. ∙

research

∙ 06/14/2017

Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification

Videos are inherently multimodal. This paper studies the problem of how ...

0 Yu-Gang Jiang, et al. ∙

research

∙ 06/04/2017

Personalized Age Progression with Bi-level Aging Dictionary Learning

Age progression is defined as aesthetically re-rendering the aging face ...

0 Xiangbo Shu, et al. ∙

research

∙ 06/03/2017

Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition

Recently, Long Short-Term Memory (LSTM) has become a popular choice to m...

0 Xiangbo Shu, et al. ∙

research

∙ 01/27/2016

Deep Learning Driven Visual Path Prediction from a Single Image

Capabilities of inference and prediction are significant components of v...

0 Siyu Huang, et al. ∙

research

∙ 01/18/2015

Correntropy Induced L2 Graph for Robust Subspace Clustering

In this paper, we study the robust subspace clustering problem, which ai...

0 Canyi Lu, et al. ∙

Jinhui Tang

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