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07/15/2023
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
Large Pre-trained Transformers exhibit an intriguing capacity for in-con...
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06/27/2023
Shilling Black-box Review-based Recommender Systems through Fake Review Generation
Review-Based Recommender Systems (RBRS) have attracted increasing resear...
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03/24/2023
SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization
Neural abstractive summarization has been widely studied and achieved gr...
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12/14/2022
Dual-branch Cross-Patch Attention Learning for Group Affect Recognition
Group affect refers to the subjective emotion that is evoked by an exter...
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07/07/2022
Vision Transformers: State of the Art and Research Challenges
Transformers have achieved great success in natural language processing....
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05/04/2022
Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-Awareness
A notable challenge in Multi-Document Summarization (MDS) is the extreme...
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12/02/2021
ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton
The increasing demand for analyzing the insights in sports has stimulate...
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10/06/2021
Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack
With the successful creation of high-quality image-to-image (Img2Img) tr...
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10/05/2021
Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization
In contrast to traditional online videos, live multi-streaming supports ...
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10/01/2021
Mask or Non-Mask? Robust Face Mask Detector via Triplet-Consistency Representation Learning
In the absence of vaccines or medicines to stop COVID-19, one of the eff...
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09/06/2021
Gradient Normalization for Generative Adversarial Networks
In this paper, we propose a novel normalization method called gradient n...
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07/08/2021
Technical Report for Valence-Arousal Estimation in ABAW2 Challenge
In this work, we describe our method for tackling the valence-arousal es...
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05/25/2021
Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting
This companion paper supports the replication of the fashion trend forec...
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03/08/2021
ZYELL-NCTU NetTraffic-1.0: A Large-Scale Dataset for Real-World Network Anomaly Detection
Network security has been an active research topic for long. One critica...
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02/18/2021
Meta-Transfer Learning for Low-Resource Abstractive Summarization
Neural abstractive summarization has been studied in many pieces of lite...
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02/06/2021
Template-Free Try-on Image Synthesis via Semantic-guided Optimization
The virtual try-on task is so attractive that it has drawn considerable ...
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01/29/2021
Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation
In this paper, we propose a novel SpatioTemporal convolutional Dense Net...
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12/21/2020
An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge
Facial micro-expressions indicate brief and subtle facial movements that...
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04/19/2020
MER-GCN: Micro Expression Recognition Based on Relation Modeling with Graph Convolutional Network
Micro-Expression (ME) is the spontaneous, involuntary movement of a face...
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02/11/2020
Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping
Shopping in VR malls has been regarded as a paradigm shift for E-commerc...
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02/06/2020
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation
With the rapid proliferation of online media sources and published news,...
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09/25/2019
