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09/19/2023
Disentangled Information Bottleneck guided Privacy-Protective JSCC for Image Transmission
Joint source and channel coding (JSCC) has attracted increasing attentio...
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09/18/2023
How to Generate Popular Post Headlines on Social Media?
Posts, as important containers of user-generated-content pieces on socia...
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09/18/2023
Learning to Generate Lumped Hydrological Models
In a lumped hydrological model structure, the hydrological function of a...
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09/15/2023
Privacy-Aware Joint Source-Channel Coding for image transmission based on Disentangled Information Bottleneck
Current privacy-aware joint source-channel coding (JSCC) works aim at av...
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09/05/2023
NICE 2023 Zero-shot Image Captioning Challenge
In this report, we introduce NICE project[<https://nice.lgresearch.ai/>]...
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08/15/2023
SPM: Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search
In e-commerce search, relevance between query and documents is an essent...
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08/14/2023
Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach
The unmanned aerial vehicle (UAV) network is popular these years due to ...
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08/10/2023
IOSG: Image-driven Object Searching and Grasping
When robots retrieve specific objects from cluttered scenes, such as hom...
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08/08/2023
Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination
Most existing image-text matching methods adopt triplet loss as the opti...
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08/08/2023
Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval
Most existing cross-modal retrieval methods employ two-stream encoders w...
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07/30/2023
An Effective LSTM-DDPM Scheme for Energy Theft Detection and Forecasting in Smart Grid
Energy theft detection (ETD) and energy consumption forecasting (ECF) ar...
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06/18/2023
Focusing on Relevant Responses for Multi-modal Rumor Detection
In the absence of an authoritative statement about a rumor, people may e...
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06/15/2023
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds
Network embedding, a graph representation learning method illustrating n...
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06/11/2023
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model
Currently, the reduction in the parameter scale of large-scale pre-train...
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06/10/2023
Probabilistic Multi-Dimensional Classification
Multi-dimensional classification (MDC) can be employed in a range of app...
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06/08/2023
COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features
With the development of the multi-media internet, visual characteristics...
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06/03/2023
A Novel Deep Knowledge-based Learning Method for Wind Speed Forecast
The increasing installation rate of wind power poses great challenges to...
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05/31/2023
Cross-Domain Car Detection Model with Integrated Convolutional Block Attention Mechanism
Car detection, particularly through camera vision, has become a major fo...
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05/31/2023
A Novel Black Box Process Quality Optimization Approach based on Hit Rate
Hit rate is a key performance metric in predicting process product quali...
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05/30/2023
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics
Aiding humans with scientific designs is one of the most exciting of art...
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05/25/2023
Deep Neural Networks in Video Human Action Recognition: A Review
Currently, video behavior recognition is one of the most foundational ta...
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05/24/2023
Breaking the Curse of Quality Saturation with User-Centric Ranking
A key puzzle in search, ads, and recommendation is that the ranking mode...
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05/23/2023
Faster Video Moment Retrieval with Point-Level Supervision
Video Moment Retrieval (VMR) aims at retrieving the most relevant events...
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05/21/2023
Task-agnostic Distillation of Encoder-Decoder Language Models
Finetuning pretrained language models (LMs) have enabled appealing perfo...
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05/20/2023
Lifting the Curse of Capacity Gap in Distilling Language Models
Pretrained language models (LMs) have shown compelling performance on va...
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05/16/2023
Information Energy Ratio of XOR Logic Gate at Mesoscopic Scale
As the size of transistors approaches the mesoscopic scale, existing ene...
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05/10/2023
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
Generative AI (AIGC, a.k.a. AI generated content) has made remarkable pr...
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05/09/2023
InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
We present an interactive visual framework named InternGPT, or iGPT for ...
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05/07/2023
MrTF: Model Refinery for Transductive Federated Learning
We consider a real-world scenario in which a newly-established pilot pro...
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04/30/2023
A Simulation-Augmented Benchmarking Framework for Automatic RSO Streak Detection in Single-Frame Space Images
Detecting Resident Space Objects (RSOs) and preventing collisions with o...
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04/23/2023
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
The capability of Large Language Models (LLMs) like ChatGPT to comprehen...
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04/19/2023
CrossFusion: Interleaving Cross-modal Complementation for Noise-resistant 3D Object Detection
The combination of LiDAR and camera modalities is proven to be necessary...
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04/15/2023
CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Structure for Vision-Language Retrieval
Current vision-language retrieval aims to perform cross-modal instance s...
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04/14/2023
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
Low-light image enhancement (LLIE) investigates how to improve illuminat...
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04/06/2023
DC^2: Dual-Camera Defocus Control by Learning to Refocus
Smartphone cameras today are increasingly approaching the versatility an...
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03/29/2023
When to Pre-Train Graph Neural Networks? An Answer from Data Generation Perspective!
Recently, graph pre-training has attracted wide research attention, whic...
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03/27/2023
Learning a Deep Color Difference Metric for Photographic Images
Most well-established and widely used color difference (CD) metrics are ...
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03/23/2023
ScanERU: Interactive 3D Visual Grounding based on Embodied Reference Understanding
Aiming to link natural language descriptions to specific regions in a 3D...
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03/21/2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
As ChatGPT goes viral, generative AI (AIGC, a.k.a AI-generated content) ...
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03/20/2023
Learning Behavior Recognition in Smart Classroom with Multiple Students Based on YOLOv5
Deep learning-based computer vision technology has grown stronger in rec...
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03/16/2023
Rt-Track: Robust Tricks for Multi-Pedestrian Tracking
Object tracking is divided into single-object tracking (SOT) and multi-o...
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03/13/2023
Guided Speech Enhancement Network
High quality speech capture has been widely studied for both voice commu...
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03/08/2023
Graph Neural Networks Enhanced Smart Contract Vulnerability Detection of Educational Blockchain
With the development of blockchain technology, more and more attention h...
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02/25/2023
Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search
Weakly supervised person search aims to jointly detect and match persons...
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02/24/2023
Bioinspired soft robotics: How do we learn from creatures?
Soft robotics has opened a unique path to flexibility and environmental ...
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02/23/2023
Bayesian Structure Scores for Probabilistic Circuits
Probabilistic circuits (PCs) are a prominent representation of probabili...
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02/17/2023
Cascaded information enhancement and cross-modal attention feature fusion for multispectral pedestrian detection
Multispectral pedestrian detection is a technology designed to detect an...
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02/16/2023
Copebot: Underwater soft robot with copepod-like locomotion
It has been a great challenge to develop robots that are able to perform...
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02/14/2023
Stability analysis of the Eulerian-Lagrangian finite volume methods for nonlinear hyperbolic equations in one space dimension
In this paper, we construct a novel Eulerian-Lagrangian finite volume (E...
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01/09/2023