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07/26/2023
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory
The recent video grounding works attempt to introduce vanilla contrastiv...
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07/06/2023
Improving Retrieval-Augmented Large Language Models via Data Importance Learning
Retrieval augmentation enables large language models to take advantage o...
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06/13/2023
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON
Despite progress in vision-based inspection algorithms, real-world indus...
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05/19/2023
Tune-Mode ConvBN Blocks For Efficient Transfer Learning
Convolution-BatchNorm (ConvBN) blocks are integral components in various...
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02/27/2023
Systematic Rectification of Language Models via Dead-end Analysis
With adversarial or otherwise normal prompts, existing large language mo...
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02/24/2023
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
Generative adversarial networks (GANs), trained on a large-scale image d...
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02/16/2023
Learning with Rejection for Abstractive Text Summarization
State-of-the-art abstractive summarization systems frequently hallucinat...
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01/15/2023
Generating Templated Caption for Video Grounding
Video grounding aims to locate a moment of interest matching the given q...
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10/11/2022
Intersections of linear codes and related MDS codes with new Galois hulls
Let SLAut(𝔽_q^n) denote the group of all semilinear isometries on 𝔽_q^n,...
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10/06/2022
Video Referring Expression Comprehension via Transformer with Content-aware Query
Video Referring Expression Comprehension (REC) aims to localize a target...
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09/13/2022
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks
We present evidence for the existence and effectiveness of adversarial a...
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08/29/2022
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning
Multi-view learning has progressed rapidly in recent years. Although man...
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07/21/2022
Correspondence Matters for Video Referring Expression Comprehension
We investigate the problem of video Referring Expression Comprehension (...
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07/21/2022
LocVTP: Video-Text Pre-training for Temporal Localization
Video-Text Pre-training (VTP) aims to learn transferable representations...
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04/20/2022
A Survey on Neural Abstractive Summarization Methods and Factual Consistency of Summarization
Automatic summarization is the process of shortening a set of textual da...
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04/07/2022
Jacobian Norm for Unsupervised Source-Free Domain Adaptation
Unsupervised Source (data) Free domain adaptation (USFDA) aims to transf...
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03/28/2022
PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation
Unsupervised pixel-level defective region segmentation is an important t...
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03/25/2022
Unsupervised Pre-training for Temporal Action Localization Tasks
Unsupervised video representation learning has made remarkable achieveme...
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03/03/2022
Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey
Display front-of-screen (FOS) quality inspection is essential for the ma...
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03/02/2022
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels
Graph Neural Networks (GNNs) have achieved great success in various task...
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11/22/2021
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation
As the adoption of deep learning techniques in industrial applications g...
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10/28/2021
RIM: Reliable Influence-based Active Learning on Graphs
Message passing is the core of most graph models such as Graph Convoluti...
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09/13/2021
On Pursuit of Designing Multi-modal Transformer for Video Grounding
Video grounding aims to localize the temporal segment corresponding to a...
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08/12/2021
UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing
Recent research has witnessed advances in facial image editing tasks inc...
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08/12/2021
Deep Motion Prior for Weakly-Supervised Temporal Action Localization
Weakly-Supervised Temporal Action Localization (WSTAL) aims to localize ...
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06/24/2021
All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection
Arbitrary-shaped text detection is a challenging task since curved texts...
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05/19/2021
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
As the applications of deep learning models on edge devices increase at ...
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05/11/2021
Video Frame Interpolation via Structure-Motion based Iterative Fusion
Video Frame Interpolation synthesizes non-existent images between adjace...
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04/30/2021
RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection
Human-Object Interaction (HOI) detection devotes to learn how humans int...
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03/30/2021
CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
Weakly-supervised temporal action localization (WS-TAL) aims to localize...
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12/31/2020
Quantum error-correcting codes from matrix-product codes related to quasi-orthogonal matrices and quasi-unitary matrices
Matrix-product codes over finite fields are an important class of long l...
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10/17/2020
Factual Error Correction for Abstractive Summarization Models
Neural abstractive summarization systems have achieved promising progres...
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10/07/2020
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Inferring missing facts in temporal knowledge graphs (TKGs) is a fundame...
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08/04/2020
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
During the COVID-19 pandemic, rapid and accurate triage of patients at t...
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07/03/2020
Task-agnostic Temporally Consistent Facial Video Editing
Recent research has witnessed the advances in facial image editing tasks...
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04/26/2020
All you need is a second look: Towards Tighter Arbitrary shape text detection
Deep learning-based scene text detection methods have progressed substan...
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03/18/2020
Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously
Unsupervised domain adaptation (UDA) is an emerging research topic in th...
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03/18/2020
Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously
Domain adaptation (DA) is an emerging research topic in the field of mac...
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02/28/2020
Galois hulls of MDS codes and their quantum error correction
The hull of linear codes plays an important role in quantum information ...
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09/04/2019
