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09/09/2023
Code-Style In-Context Learning for Knowledge-Based Question Answering
Current methods for Knowledge-Based Question Answering (KBQA) usually re...
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09/08/2023
Towards Practical Capture of High-Fidelity Relightable Avatars
In this paper, we propose a novel framework, Tracking-free Relightable A...
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03/14/2023
Improving Prosody for Cross-Speaker Style Transfer by Semi-Supervised Style Extractor and Hierarchical Modeling in Speech Synthesis
Cross-speaker style transfer in speech synthesis aims at transferring a ...
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12/13/2022
Style-Label-Free: Cross-Speaker Style Transfer by Quantized VAE and Speaker-wise Normalization in Speech Synthesis
Cross-speaker style transfer in speech synthesis aims at transferring a ...
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12/08/2022
A Scale-Arbitrary Image Super-Resolution Network Using Frequency-domain Information
Image super-resolution (SR) is a technique to recover lost high-frequenc...
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11/19/2022
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset
Video understanding is an important task in short video business platfor...
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11/17/2022
Back-Translation-Style Data Augmentation for Mandarin Chinese Polyphone Disambiguation
Conversion of Chinese Grapheme-to-Phoneme (G2P) plays an important role ...
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10/28/2022
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia
Online encyclopedias, such as Wikipedia, have been well-developed and re...
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10/13/2022
RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval
Video language pre-training methods have mainly adopted sparse sampling ...
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10/10/2022
Bridging CLIP and StyleGAN through Latent Alignment for Image Editing
Text-driven image manipulation is developed since the vision-language mo...
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10/08/2022
InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings
Contrastive learning has been extensively studied in sentence embedding ...
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09/28/2022
TokenFlow: Rethinking Fine-grained Cross-modal Alignment in Vision-Language Retrieval
Most existing methods in vision-language retrieval match two modalities ...
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08/16/2022
ConTextual Mask Auto-Encoder for Dense Passage Retrieval
Dense passage retrieval aims to retrieve the relevant passages of a quer...
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07/12/2022
Estimation of non-symmetric and unbounded region of attraction using shifted shape function and R-composition
A general numerical method using sum of squares programming is proposed ...
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07/08/2022
Deepfake Face Traceability with Disentangling Reversing Network
Deepfake face not only violates the privacy of personal identity, but al...
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06/09/2022
Diagnosing Ensemble Few-Shot Classifiers
The base learners and labeled samples (shots) in an ensemble few-shot cl...
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03/30/2022
ITTR: Unpaired Image-to-Image Translation with Transformers
Unpaired image-to-image translation is to translate an image from a sour...
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02/28/2022
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks
Before entering the neural network, a token is generally converted to th...
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12/10/2021
DisCo: Effective Knowledge Distillation For Contrastive Learning of Sentence Embeddings
Contrastive learning has been proven suitable for learning sentence embe...
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10/30/2021
A Spatio-Temporal Identity Verification Method for Person-Action Instance Search in Movies
As one of the challenging problems in video search, Person-Action Instan...
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09/16/2021
TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network
Recently, face super-resolution (FSR) methods either feed whole face ima...
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09/09/2021
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding
Contrastive learning has been attracting much attention for learning uns...
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09/09/2021
Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Contrastive learning has been gradually applied to learn high-quality un...
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06/11/2021
MlTr: Multi-label Classification with Transformer
The task of multi-label image classification is to recognize all the obj...
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06/10/2021
CAT: Cross Attention in Vision Transformer
Since Transformer has found widespread use in NLP, the potential of Tran...
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03/29/2021
Omniscient Video Super-Resolution
Most recent video super-resolution (SR) methods either adopt an iterativ...
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03/28/2021
HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval
Video-Text Retrieval has been a hot research topic with the explosion of...
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03/15/2021
Metric Learning for Anti-Compression Facial Forgery Detection
Detecting facial forgery images and videos is an increasingly important ...
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03/04/2021
When Face Recognition Meets Occlusion: A New Benchmark
The existing face recognition datasets usually lack occlusion samples, w...
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02/04/2021
Converse, Focus and Guess – Towards Multi-Document Driven Dialogue
We propose a novel task, Multi-Document Driven Dialogue (MD3), in which ...
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10/29/2020
Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection
Most existing approaches to disfluency detection heavily rely on human-a...
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08/19/2020
Leveraging Historical Interaction Data for Improving Conversational Recommender System
Recently, conversational recommender system (CRS) has become an emerging...
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08/18/2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Recently, significant progress has been made in sequential recommendatio...
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03/26/2020
Learning Inverse Rendering of Faces from Real-world Videos
In this paper we examine the problem of inverse rendering of real face i...
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03/20/2020
Masked Face Recognition Dataset and Application
In order to effectively prevent the spread of COVID-19 virus, almost eve...
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05/19/2019
Earlier Attention? Aspect-Aware LSTM for Aspect Sentiment Analysis
Aspect-based sentiment analysis (ABSA) aims to predict fine-grained sent...
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05/11/2019
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
Knowledge graphs capture interlinked information between entities and th...
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05/11/2019
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
Knowledge graphs capture structured information and relations between a ...
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05/11/2019
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommendation
Knowledge graphs capture structured information and relations between a ...
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06/26/2018
