Qingming Huang

research

∙ 06/15/2023

PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators

Due to the light absorption and scattering induced by the water medium, ...

10 Runmin Cong, et al. ∙

research

∙ 05/13/2023

Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training

In recent years, the growing demand for medical imaging diagnosis has pl...

0 Ke Zhang, et al. ∙

research

∙ 04/18/2023

A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization

In this paper, we extends original Neural Collapse Phenomenon by proving...

0 Peifeng Gao, et al. ∙

research

∙ 03/06/2023

Neighborhood Contrastive Transformer for Change Captioning

Change captioning is to describe the semantic change between a pair of s...

0 Yunbin Tu, et al. ∙

research

∙ 02/01/2023

Stable Attribute Group Editing for Reliable Few-shot Image Generation

Few-shot image generation aims to generate data of an unseen category ba...

0 Guanqi Ding, et al. ∙

research

∙ 12/23/2022

Multi-Projection Fusion and Refinement Network for Salient Object Detection in 360° Omnidirectional Image

Salient object detection (SOD) aims to determine the most visually attra...

0 Runmin Cong, et al. ∙

research

∙ 12/06/2022

Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective

Positive-Unlabeled (PU) learning tries to learn binary classifiers from ...

0 Yunrui Zhao, et al. ∙

research

∙ 10/09/2022

Does Thermal Really Always Matter for RGB-T Salient Object Detection?

In recent years, RGB-T salient object detection (SOD) has attracted cont...

0 Runmin Cong, et al. ∙

research

∙ 10/08/2022

Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm

The Partial Area Under the ROC Curve (PAUC), typically including One-way...

0 Huiyang Shao, et al. ∙

research

∙ 10/06/2022

CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detection

Focusing on the issue of how to effectively capture and utilize cross-mo...

8 Runmin Cong, et al. ∙

research

∙ 09/13/2022

A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game

Rank aggregation with pairwise comparisons has shown promising results i...

0 Ke Ma, et al. ∙

research

∙ 07/26/2022

Multi-Attention Network for Compressed Video Referring Object Segmentation

Referring video object segmentation aims to segment the object referred ...

0 Weidong Chen, et al. ∙

research

∙ 07/18/2022

Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding

Weakly supervised Referring Expression Grounding (REG) aims to ground a ...

0 Xuejing Liu, et al. ∙

research

∙ 06/28/2022

Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction

Click-through rate (CTR) prediction, whose goal is to predict the probab...

0 Tianwei Cao, et al. ∙

research

∙ 06/24/2022

Geometry Interaction Knowledge Graph Embeddings

Knowledge graph (KG) embeddings have shown great power in learning repre...

0 Zongsheng Cao, et al. ∙

research

∙ 06/24/2022

ER: Equivariance Regularizer for Knowledge Graph Completion

Tensor factorization and distanced based models play important roles in ...

0 Zongsheng Cao, et al. ∙

research

∙ 06/23/2022

Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling

The recently proposed Collaborative Metric Learning (CML) paradigm has a...

0 Shilong Bao, et al. ∙

research

∙ 05/31/2022

Automatic Relation-aware Graph Network Proliferation

Graph neural architecture search has sparked much attention as Graph Neu...

0 Shaofei Cai, et al. ∙

research

∙ 04/19/2022

Global-and-Local Collaborative Learning for Co-Salient Object Detection

The goal of co-salient object detection (CoSOD) is to discover salient o...

5 Runmin Cong, et al. ∙

research

∙ 04/18/2022

CenterNet++ for Object Detection

There are two mainstreams for object detection: top-down and bottom-up. ...

0 Kaiwen Duan, et al. ∙

research

∙ 04/02/2022

IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning

Conditional image generation is an active research topic including text2...

0 Zhenhuan Liu, et al. ∙

research

∙ 03/16/2022

Attribute Group Editing for Reliable Few-shot Image Generation

Few-shot image generation is a challenging task even using the state-of-...

3 Guanqi Ding, et al. ∙

research

∙ 03/06/2022

Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment

Training a generative adversarial network (GAN) with limited data has be...

0 Jiayu Xiao, et al. ∙

research

∙ 12/20/2021

General Greedy De-bias Learning

Neural networks often make predictions relying on the spurious correlati...

13 Xinzhe Han, et al. ∙

research

∙ 11/23/2021

Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis

Event analysis in untrimmed videos has attracted increasing attention du...

0 Zhaobo Qi, et al. ∙

research

∙ 11/23/2021

Self-Regulated Learning for Egocentric Video Activity Anticipation

Future activity anticipation is a challenging problem in egocentric visi...

0 Zhaobo Qi, et al. ∙

research

∙ 11/19/2021

DVCFlow: Modeling Information Flow Towards Human-like Video Captioning

Dense video captioning (DVC) aims to generate multi-sentence description...

0 Xu Yan, et al. ∙

research

∙ 10/11/2021

Semi-Autoregressive Image Captioning

Current state-of-the-art approaches for image captioning typically adopt...

0 Xu Yan, et al. ∙

research

∙ 09/03/2021

Edge-featured Graph Neural Architecture Search

Graph neural networks (GNNs) have been successfully applied to learning ...

0 Shaofei Cai, et al. ∙

research

∙ 07/28/2021

Learning with Multiclass AUC: Theory and Algorithms

The Area under the ROC curve (AUC) is a well-known ranking metric for pr...

59 Zhiyong Yang, et al. ∙

research

∙ 07/27/2021

Greedy Gradient Ensemble for Robust Visual Question Answering

Language bias is a critical issue in Visual Question Answering (VQA), wh...

0 Xinzhe Han, et al. ∙

research

∙ 07/13/2021

Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation

Due to the domain discrepancy in visual domain adaptation, the performan...

0 Shuhao Cui, et al. ∙

research

∙ 07/05/2021

Poisoning Attack against Estimating from Pairwise Comparisons

As pairwise ranking becomes broadly employed for elections, sports compe...

0 Ke Ma, et al. ∙

research

∙ 04/11/2021

Location-Sensitive Visual Recognition with Cross-IOU Loss

Object detection, instance segmentation, and pose estimation are popular...

0 Kaiwen Duan, et al. ∙

research

∙ 03/26/2021

Rethinking Graph Neural Network Search from Message-passing

Graph neural networks (GNNs) emerged recently as a standard toolkit for ...

0 Shaofei Cai, et al. ∙

research

∙ 03/12/2021

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association

Nowadays, we have witnessed the early progress on learning the associati...

1 Peisong Wen, et al. ∙

research

∙ 11/30/2020

Heuristic Domain Adaptation

In visual domain adaptation (DA), separating the domain-specific charact...

0 Shuhao Cui, et al. ∙

research

∙ 10/16/2020

Semantic Editing On Segmentation Map Via Multi-Expansion Loss

Semantic editing on segmentation map has been proposed as an intermediat...

0 Jianfeng He, et al. ∙

research

∙ 08/25/2020

Label Decoupling Framework for Salient Object Detection

To get more accurate saliency maps, recent methods mainly focus on aggre...

8 Jun Wei, et al. ∙

research

∙ 07/27/2020

Corner Proposal Network for Anchor-free, Two-stage Object Detection

The goal of object detection is to determine the class and location of o...

0 Kaiwen Duan, et al. ∙

research

∙ 04/29/2020

Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction

As an effective learning paradigm against insufficient training samples,...

1 Zhiyong Yang, et al. ∙

research

∙ 04/10/2020

Parsing-based View-aware Embedding Network for Vehicle Re-Identification

Vehicle Re-Identification is to find images of the same vehicle from var...

0 Dechao Meng, et al. ∙

research

∙ 04/10/2020

State-Relabeling Adversarial Active Learning

Active learning is to design label-efficient algorithms by sampling the ...

0 Beichen Zhang, et al. ∙

research

∙ 03/30/2020

Gradually Vanishing Bridge for Adversarial Domain Adaptation

In unsupervised domain adaptation, rich domain-specific characteristics ...

0 Shuhao Cui, et al. ∙

research

∙ 03/27/2020

Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations

The learning of the deep networks largely relies on the data with human-...

0 Shuhao Cui, et al. ∙

research

∙ 03/19/2020

Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

There are two main issues in RGB-D salient object detection: (1) how to ...

0 Zuyao Chen, et al. ∙

research

∙ 03/02/2020

Global Context-Aware Progressive Aggregation Network for Salient Object Detection

Deep convolutional neural networks have achieved competitive performance...

0 Zuyao Chen, et al. ∙

research

∙ 11/26/2019

F3Net: Fusion, Feedback and Focus for Salient Object Detection

Most of existing salient object detection models have achieved great pro...

17 Jun Wei, et al. ∙

research

∙ 10/14/2019

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI

Due to the inherent uncertainty of data, the problem of predicting parti...

1 Qianqian Xu, et al. ∙

research

∙ 09/05/2019

Knowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression Grounding

Weakly supervised referring expression grounding (REG) aims at localizin...

10 Xuejing Liu, et al. ∙

Qingming Huang

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