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09/07/2023
T2IW: Joint Text to Image Watermark Generation
Recent developments in text-conditioned image generative models have rev...
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08/04/2023
Balanced Classification: A Unified Framework for Long-Tailed Object Detection
Conventional detectors suffer from performance degradation when dealing ...
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07/01/2023
DreamIdentity: Improved Editability for Efficient Face-identity Preserved Image Generation
While large-scale pre-trained text-to-image models can synthesize divers...
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05/29/2023
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize and reco...
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05/24/2023
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
The answering quality of an aligned large language model (LLM) can be dr...
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05/23/2023
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation
Existing autoregressive models follow the two-stage generation paradigm ...
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05/19/2023
Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization
Existing vector quantization (VQ) based autoregressive models follow a t...
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05/09/2023
Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition
Vision model have gained increasing attention due to their simplicity an...
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03/24/2023
kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
In-Context Learning (ICL), which formulates target tasks as prompt compl...
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12/05/2022
Exploring Stroke-Level Modifications for Scene Text Editing
Scene text editing (STE) aims to replace text with the desired one while...
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11/29/2022
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning
Deep metric learning aims to learn an embedding space, where semanticall...
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11/19/2022
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
Scene text spotting is of great importance to the computer vision commun...
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10/20/2022
Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity
Chinese spelling check (CSC) is a fundamental NLP task that detects and ...
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10/12/2022
Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets
There still remains an extreme performance gap between Vision Transforme...
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09/03/2022
DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation
Text-to-image generation aims at generating realistic images which are s...
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09/01/2022
REMOT: A Region-to-Whole Framework for Realistic Human Motion Transfer
Human Video Motion Transfer (HVMT) aims to, given an image of a source p...
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09/01/2022
MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition
Recognizing human actions from point cloud videos has attracted tremendo...
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07/14/2022
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network
Knowledge Graphs (KGs) are becoming increasingly essential infrastructur...
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04/19/2022
Rumor Detection with Self-supervised Learning on Texts and Social Graph
Rumor detection has become an emerging and active research field in rece...
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03/09/2022
Part-level Action Parsing via a Pose-guided Coarse-to-Fine Framework
Action recognition from videos, i.e., classifying a video into one of th...
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08/22/2021
From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network
In this paper, we abandon the dominant complex language model and rethin...
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08/16/2021
Causal Incremental Graph Convolution for Recommender System Retraining
Real-world recommender system needs to be regularly retrained to keep wi...
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06/24/2021
A Simple and Strong Baseline: Progressively Region-based Scene Text Removal Networks
Existing scene text removal methods mainly train an elaborate network wi...
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06/13/2021
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Cross-modal correlation provides an inherent supervision for video unsup...
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05/13/2021
Causal Intervention for Leveraging Popularity Bias in Recommendation
Recommender system usually faces popularity bias issues: from the data p...
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03/11/2021
Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition
Linguistic knowledge is of great benefit to scene text recognition. Howe...
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03/02/2021
AttriMeter: An Attribute-guided Metric Interpreter for Person Re-Identification
Person Re-identification (ReID) has achieved significant improvement due...
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12/17/2020
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering
Most Visual Question Answering (VQA) models suffer from the language pri...
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11/20/2020
Reliability Enhancement for VR Delivery in Mobile-Edge Empowered Dual-Connectivity μWave-mmWave HetNets
The reliability of current virtual reality (VR) delivery is low due to t...
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09/11/2020
CatGCN: Graph Convolutional Networks with Categorical Node Features
Recent studies on Graph Convolutional Networks (GCNs) reveal that the in...
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08/09/2020
Depth image denoising using nuclear norm and learning graph model
The depth images denoising are increasingly becoming the hot research to...
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05/31/2020
Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning
Transductive Zero-shot learning (ZSL) targets to recognize the unseen ca...
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05/27/2020
How to Retrain Recommender System? A Sequential Meta-Learning Method
Practical recommender systems need be periodically retrained to refresh ...
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04/10/2020
ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection
Scene text detection has witnessed rapid development in recent years. Ho...
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04/01/2020
Graph Structured Network for Image-Text Matching
Image-text matching has received growing interest since it bridges visio...
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03/30/2020
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition
Bilinear pooling achieves great success in fine-grained visual recogniti...
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03/30/2020
Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning
Recent methods focus on learning a unified semantic-aligned visual repre...
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02/10/2020
Bilinear Graph Neural Network with Node Interactions
Graph Neural Network (GNN) is a powerful model to learn representations ...
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02/10/2020
Bilinear Graph Neural Network with Neighbor Interactions
Graph Neural Network (GNN) is a powerful model to learn representations ...
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02/06/2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Graph Convolution Network (GCN) has become new state-of-the-art for coll...
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01/30/2020
Graph Convolution Machine for Context-aware Recommender System
The latest advance in recommendation shows that better user and item rep...
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12/25/2019
Asymmetric GAN for Unpaired Image-to-image Translation
Unpaired image-to-image translation problem aims to model the mapping fr...
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11/21/2019
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Knowledge graph embedding, which aims to represent entities and relation...
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09/25/2019
Focus Your Attention: A Bidirectional Focal Attention Network for Image-Text Matching
Learning semantic correspondence between image and text is significant a...
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09/23/2019
Scheduled Differentiable Architecture Search for Visual Recognition
Convolutional Neural Networks (CNN) have been regarded as a capable clas...
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08/12/2019
Domain-Specific Embedding Network for Zero-Shot Recognition
Zero-Shot Learning (ZSL) seeks to recognize a sample from either seen or...
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07/29/2019
Consensus Feature Network for Scene Parsing
Scene parsing is challenging as it aims to assign one of the semantic ca...
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06/24/2019
Dense Scale Network for Crowd Counting
Crowd counting has been widely studied by computer vision community in r...
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06/06/2019
Context-Aware Visual Policy Network for Fine-Grained Image Captioning
With the maturity of visual detection techniques, we are more ambitious ...
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04/29/2019