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08/24/2023
Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning
Vision-language pre-training models (VLP) are vulnerable, especially to ...
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07/19/2023
Embedded Heterogeneous Attention Transformer for Cross-lingual Image Captioning
Cross-lingual image captioning is confronted with both cross-lingual and...
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05/18/2023
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation
Incremental few-shot semantic segmentation (IFSS) aims to incrementally ...
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03/16/2023
Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers
In this paper, we present our solutions to the two sub-challenges of Aff...
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03/13/2023
Adaptive Data-Free Quantization
Data-free quantization (DFQ) recovers the performance of quantized netwo...
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02/27/2023
Contrastive Video Question Answering via Video Graph Transformer
We propose to perform video question answering (VideoQA) in a Contrastiv...
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02/19/2023
Rethinking Data-Free Quantization as a Zero-Sum Game
Data-free quantization (DFQ) recovers the performance of quantized netwo...
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02/04/2023
LipFormer: Learning to Lipread Unseen Speakers based on Visual-Landmark Transformers
Lipreading refers to understanding and further translating the speech of...
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11/18/2022
Stereo Image Rain Removal via Dual-View Mutual Attention
Stereo images, containing left and right view images with disparity, are...
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11/02/2022
SufrinNet: Toward Sufficient Cross-View Interaction for Stereo Image Enhancement in The Dark
Low-light stereo image enhancement (LLSIE) is a relatively new task to e...
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10/14/2022
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation
In most E-commerce platforms, whether the displayed items trigger the us...
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10/10/2022
Joint Multi-grained Popularity-aware Graph Convolution Collaborative Filtering for Recommendation
Graph Convolution Networks (GCNs), with their efficient ability to captu...
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10/02/2022
Seeing Through The Noisy Dark: Toward Real-world Low-Light Image Enhancement and Denoising
Images collected in real-world low-light environment usually suffer from...
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09/12/2022
Switchable Online Knowledge Distillation
Online Knowledge Distillation (OKD) improves the involved models by reci...
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06/27/2022
A Topic-Attentive Transformer-based Model For Multimodal Depression Detection
Depression is one of the most common mental disorders, which imposes hea...
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04/30/2022
ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization
Network quantization has emerged as a promising method for model compres...
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04/26/2022
A Review-aware Graph Contrastive Learning Framework for Recommendation
Most modern recommender systems predict users preferences with two compo...
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04/16/2022
FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring
Blind image deblurring (BID) remains a challenging and significant task....
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03/01/2022
Automatic Depression Detection via Learning and Fusing Features from Visual Cues
Depression is one of the most prevalent mental disorders, which seriousl...
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07/12/2021
Few-shot Learning with Global Relatedness Decoupled-Distillation
Despite the success that metric learning based approaches have achieved ...
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05/31/2021
Privileged Graph Distillation for Cold Start Recommendation
The cold start problem in recommender systems is a long-standing challen...
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05/16/2021
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
As users often express their preferences with binary behavior data (impl...
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05/05/2021
MCGNet: Partial Multi-view Few-shot Learning via Meta-alignment and Context Gated-aggregation
In this paper, we propose a new challenging task named as partial multi-...
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04/06/2021
Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning
This paper strives to predict fine-grained fashion similarity. In this s...
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03/30/2021
Revisiting Deep Local Descriptor for Improved Few-Shot Classification
Few-shot classification studies the problem of quickly adapting a deep l...
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02/18/2021
Learning Fair Representations for Bipartite Graph based Recommendation
As a key application of artificial intelligence, recommender systems are...
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01/11/2021
Deep Adversarial Inconsistent Cognitive Sampling for Multi-view Progressive Subspace Clustering
Deep multi-view clustering methods have achieved remarkable performance....
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09/14/2020
One-bit Supervision for Image Classification
This paper presents one-bit supervision, a novel setting of learning fro...
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07/07/2020
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding
Graph Convolution Network (GCN) has attracted significant attention and ...
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05/25/2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
In many recommender systems, users and items are associated with attribu...
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05/24/2020
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation
With the increasing availability of videos, how to edit them and present...
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05/09/2020
Memory-Augmented Relation Network for Few-Shot Learning
Metric-based few-shot learning methods concentrate on learning transfera...
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04/10/2020
Real-world Person Re-Identification via Degradation Invariance Learning
Person re-identification (Re-ID) in real-world scenarios usually suffers...
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04/01/2020
Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing
In recent years, cross-modal hashing (CMH) has attracted increasing atte...
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02/21/2020
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems
Recommender systems are embracing conversational technologies to obtain ...
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01/28/2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Graph Convolutional Networks (GCNs) are state-of-the-art graph based rep...
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12/01/2019
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition
Deep convolutional neural networks have largely benefited computer visio...
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08/28/2019
A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining
Single image deraining task is still a very challenging task due to its ...
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08/04/2019
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation
We propose a novel and unsupervised representation learning model, i.e.,...
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06/11/2019
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning
We propose a joint subspace recovery and enhanced locality based robust ...
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06/05/2019
Learning to Compose and Reason with Language Tree Structures for Visual Grounding
Grounding natural language in images, such as localizing "the black dog ...
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05/28/2019
Online Filter Clustering and Pruning for Efficient Convnets
Pruning filters is an effective method for accelerating deep neural netw...
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04/20/2019
A Neural Influence Diffusion Model for Social Recommendation
Precise user and item embedding learning is the key to building a succes...
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04/03/2019
Cross-Entropy Adversarial View Adaptation for Person Re-identification
Person re-identification (re-ID) is a task of matching pedestrians under...
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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 ...
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11/11/2018
Deep Item-based Collaborative Filtering for Top-N Recommendation
Item-based Collaborative Filtering(short for ICF) has been widely adopte...
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11/07/2018
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation
Collaborative Filtering (CF) is one of the most successful approaches fo...
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06/03/2018
Explainable Social Contextual Image Recommendation with Hierarchical Attention
Image based social networks are among the most popular social networking...
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04/25/2018
Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents
Movies provide us with a mass of visual content as well as attracting st...
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04/17/2018
