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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, ...
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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...
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04/18/2023
A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization
In this paper, we extends original Neural Collapse Phenomenon by proving...
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03/06/2023
Neighborhood Contrastive Transformer for Change Captioning
Change captioning is to describe the semantic change between a pair of s...
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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...
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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...
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12/06/2022
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
Positive-Unlabeled (PU) learning tries to learn binary classifiers from ...
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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...
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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...
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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...
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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...
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07/26/2022
Multi-Attention Network for Compressed Video Referring Object Segmentation
Referring video object segmentation aims to segment the object referred ...
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07/18/2022
Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding
Weakly supervised Referring Expression Grounding (REG) aims to ground a ...
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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...
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06/24/2022
Geometry Interaction Knowledge Graph Embeddings
Knowledge graph (KG) embeddings have shown great power in learning repre...
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06/24/2022
ER: Equivariance Regularizer for Knowledge Graph Completion
Tensor factorization and distanced based models play important roles in ...
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06/23/2022
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling
The recently proposed Collaborative Metric Learning (CML) paradigm has a...
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05/31/2022
Automatic Relation-aware Graph Network Proliferation
Graph neural architecture search has sparked much attention as Graph Neu...
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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...
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04/18/2022
CenterNet++ for Object Detection
There are two mainstreams for object detection: top-down and bottom-up. ...
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04/02/2022
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning
Conditional image generation is an active research topic including text2...
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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-...
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03/06/2022
Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment
Training a generative adversarial network (GAN) with limited data has be...
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12/20/2021
General Greedy De-bias Learning
Neural networks often make predictions relying on the spurious correlati...
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11/23/2021
Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis
Event analysis in untrimmed videos has attracted increasing attention du...
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11/23/2021
Self-Regulated Learning for Egocentric Video Activity Anticipation
Future activity anticipation is a challenging problem in egocentric visi...
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11/19/2021
DVCFlow: Modeling Information Flow Towards Human-like Video Captioning
Dense video captioning (DVC) aims to generate multi-sentence description...
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10/11/2021
Semi-Autoregressive Image Captioning
Current state-of-the-art approaches for image captioning typically adopt...
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09/03/2021
Edge-featured Graph Neural Architecture Search
Graph neural networks (GNNs) have been successfully applied to learning ...
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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...
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07/27/2021
Greedy Gradient Ensemble for Robust Visual Question Answering
Language bias is a critical issue in Visual Question Answering (VQA), wh...
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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...
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07/05/2021
Poisoning Attack against Estimating from Pairwise Comparisons
As pairwise ranking becomes broadly employed for elections, sports compe...
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04/11/2021
Location-Sensitive Visual Recognition with Cross-IOU Loss
Object detection, instance segmentation, and pose estimation are popular...
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03/26/2021
Rethinking Graph Neural Network Search from Message-passing
Graph neural networks (GNNs) emerged recently as a standard toolkit for ...
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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...
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11/30/2020
Heuristic Domain Adaptation
In visual domain adaptation (DA), separating the domain-specific charact...
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10/16/2020
Semantic Editing On Segmentation Map Via Multi-Expansion Loss
Semantic editing on segmentation map has been proposed as an intermediat...
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08/25/2020
Label Decoupling Framework for Salient Object Detection
To get more accurate saliency maps, recent methods mainly focus on aggre...
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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...
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04/29/2020
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction
As an effective learning paradigm against insufficient training samples,...
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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...
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04/10/2020
State-Relabeling Adversarial Active Learning
Active learning is to design label-efficient algorithms by sampling the ...
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03/30/2020
Gradually Vanishing Bridge for Adversarial Domain Adaptation
In unsupervised domain adaptation, rich domain-specific characteristics ...
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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-...
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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 ...
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03/02/2020
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
Deep convolutional neural networks have achieved competitive performance...
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11/26/2019
F3Net: Fusion, Feedback and Focus for Salient Object Detection
Most of existing salient object detection models have achieved great pro...
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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...
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09/05/2019