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06/19/2023
MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation
Collaborative filtering-based recommender systems that rely on a single ...
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03/28/2023
PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout
Content-aware visual-textual presentation layout aims at arranging spati...
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03/28/2023
Multi-Behavior Recommendation with Cascading Graph Convolution Networks
Multi-behavior recommendation, which exploits auxiliary behaviors (e.g.,...
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03/15/2023
Enhancing Unsupervised Audio Representation Learning via Adversarial Sample Generation
Existing audio analysis methods generally first transform the audio stre...
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03/15/2023
Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos
Video temporal grounding aims to pinpoint a video segment that matches t...
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09/28/2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
Semi-supervised few-shot learning consists in training a classifier to a...
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08/31/2022
SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization
Fine-grained visual categorization (FGVC) aims at recognizing objects fr...
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01/10/2022
Disentangled Graph Neural Networks for Session-based Recommendation
Session-based recommendation (SBR) has drawn increasingly research atten...
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11/11/2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-grained image analysis (FGIA) is a longstanding and fundamental pro...
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07/10/2019
A New Benchmark and Approach for Fine-grained Cross-media Retrieval
Cross-media retrieval is to return the results of various media types co...
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06/11/2019
Object-aware Aggregation with Bidirectional Temporal Graph for Video Captioning
Video captioning aims to automatically generate natural language descrip...
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08/21/2018
Text-to-image Synthesis via Symmetrical Distillation Networks
Text-to-image synthesis aims to automatically generate images according ...
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04/26/2018
Visual Data Synthesis via GAN for Zero-Shot Video Classification
Zero-Shot Learning (ZSL) in video classification is a promising research...
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04/26/2018
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification
Video representation learning is a vital problem for classification task...
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04/25/2018
Cross-media Multi-level Alignment with Relation Attention Network
With the rapid growth of multimedia data, such as image and text, it is ...
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03/10/2018
Deep Cross-media Knowledge Transfer
Cross-media retrieval is a research hotspot in multimedia area, which ai...
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02/07/2018
Deep Reinforcement Learning for Image Hashing
Deep hashing methods have received much attention recently, which achiev...
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02/07/2018
SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network
Cross-modal hashing aims to map heterogeneous multimedia data into a com...
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12/01/2017
Unsupervised Generative Adversarial Cross-modal Hashing
Cross-modal hashing aims to map heterogeneous multimedia data into a com...
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11/09/2017
Two-stream Collaborative Learning with Spatial-Temporal Attention for Video Classification
Video classification is highly important with wide applications, such as...
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10/14/2017
CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning
It is known that the inconsistent distribution and representation of dif...
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09/30/2017
Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization
Fine-grained image classification is to recognize hundreds of subcategor...
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09/25/2017
Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN
Discriminative localization is essential for fine-grained image classifi...
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08/16/2017
Modality-specific Cross-modal Similarity Measurement with Recurrent Attention Network
Nowadays, cross-modal retrieval plays an indispensable role to flexibly ...
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08/08/2017
MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval
Cross-modal retrieval has drawn wide interest for retrieval across diffe...
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06/01/2017
Cross-modal Common Representation Learning by Hybrid Transfer Network
DNN-based cross-modal retrieval is a research hotspot to retrieve across...
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04/14/2017
Cross-media Similarity Metric Learning with Unified Deep Networks
As a highlighting research topic in the multimedia area, cross-media ret...
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04/10/2017
Fine-graind Image Classification via Combining Vision and Language
Fine-grained image classification is a challenging task due to the large...
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04/07/2017
An Overview of Cross-media Retrieval: Concepts, Methodologies, Benchmarks and Challenges
Multimedia retrieval plays an indispensable role in big data utilization...
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04/07/2017
CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network
Cross-modal retrieval has become a highlighted research topic for retrie...
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04/06/2017
Object-Part Attention Model for Fine-grained Image Classification
Fine-grained image classification is to recognize hundreds of subcategor...
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03/23/2017
Saliency-guided video classification via adaptively weighted learning
Video classification is productive in many practical applications, and t...
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03/21/2017
Cross-modal Deep Metric Learning with Multi-task Regularization
DNN-based cross-modal retrieval has become a research hotspot, by which ...
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12/08/2016
Query-adaptive Image Retrieval by Deep Weighted Hashing
Hashing methods have attracted much attention for large scale image retr...
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07/28/2016
SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval
Hashing methods have been widely used for efficient similarity retrieval...
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11/24/2014
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Fine-grained classification is challenging because categories can only b...
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10/14/2011
Robust Image Analysis by L1-Norm Semi-supervised Learning
This paper presents a novel L1-norm semi-supervised learning algorithm f...
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09/23/2011
Latent Semantic Learning with Structured Sparse Representation for Human Action Recognition
This paper proposes a novel latent semantic learning method for extracti...
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09/22/2011
