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Latest 20 Papers - September 12, 2024
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Time Series

Title Date Comment
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust 2024-09-10
Learning Augmentation Policies from A Model Zoo for Time Series Forecasting 2024-09-10
VE: Modeling Multivariate Time Series Correlation with Variate Embedding 2024-09-10
A statistical framework for analyzing shape in a time series of random geometric objects 2024-09-09 revised version
Symmetry constrained neural networks for detection and localization of damage in metal plates 2024-09-09
Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data 2024-09-09
SSCI2...

SSCI2022, 7 pages, 3 Tables, 3 Figures

Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels 2024-09-09
Predicting Electricity Consumption with Random Walks on Gaussian Processes 2024-09-09 6 pages
AnomalyCD: A benchmark for Earth anomaly change detection with high-resolution and time-series observations 2024-09-09
remot...

remote sensing benchmark

Optimizing VarLiNGAM for Scalable and Efficient Time Series Causal Discovery 2024-09-09
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced Driver Assistance System 2024-09-09
Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble 2024-09-09
6 fig...

6 figures, 4 tables, 10 pages

TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare 2024-09-08 17 pages
Exploring Fungal Morphology Simulation and Dynamic Light Containment from a Graphics Generation Perspective 2024-09-08
Siggr...

Siggraph Asia 2024 Art Paper

Online Graph Topology Learning from Matrix-valued Time Series 2024-09-08
Learning Generative Models for Lumped Rainfall-Runoff Modeling 2024-09-08
Path Development Network with Finite-dimensional Lie Group Representation 2024-09-08
Efficient Rare Temporal Pattern Mining in Time Series 2024-09-08
arXiv...

arXiv admin note: substantial text overlap with arXiv:2306.10994

NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series 2024-09-07
Accep...

Accepted at ICMI 2024

A Multi-scenario Attention-based Generative Model for Personalized Blood Pressure Time Series Forecasting 2024-09-07 5 pages, 2 figures

LLM

Title Date Comment
Human Perception of LLM-generated Text Content in Social Media Environments 2024-09-10
Strategic management analysis: from data to strategy diagram by LLM 2024-09-10
NLVIZ...

NLVIZ Workshop at IEEE VIZ 2024. 7 pages, 5 figures

MAPS: Energy-Reliability Tradeoff Management in Autonomous Vehicles Through LLMs Penetrated Science 2024-09-10
Mapping News Narratives Using LLMs and Narrative-Structured Text Embeddings 2024-09-10
19 pa...

19 pages, 13 figures, 4 tables

Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection 2024-09-10
Accep...

Accepted by MM'24 (Oral)

Leveraging LLMs, Graphs and Object Hierarchies for Task Planning in Large-Scale Environments 2024-09-10 8 pages, 6 figures
Extracting Paragraphs from LLM Token Activations 2024-09-10
LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA 2024-09-10
Automate Strategy Finding with LLM in Quant investment 2024-09-10
SHAPE-IT: Exploring Text-to-Shape-Display for Generative Shape-Changing Behaviors with LLMs 2024-09-10
Accep...

Accepted for ACM UIST 2024

NOVI : Chatbot System for University Novice with BERT and LLMs 2024-09-10
Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design 2024-09-09
Accep...

Accepted at MLCAD '24. 10 pages, 7 figures, 5 tables

User-LLM: Efficient LLM Contextualization with User Embeddings 2024-09-09
Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning 2024-09-09
LLMs Will Always Hallucinate, and We Need to Live With This 2024-09-09
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning 2024-09-09
A System and Benchmark for LLM-based Q&A on Heterogeneous Data 2024-09-09
CauseJudger: Identifying the Cause with LLMs for Abductive Logical Reasoning 2024-09-09
Online Advertisements with LLMs: Opportunities and Challenges 2024-09-09
Jailbreaking Text-to-Image Models with LLM-Based Agents 2024-09-09

Image Restoration

Title Date Comment
Lightweight Multiscale Feature Fusion Super-Resolution Network Based on Two-branch Convolution and Transformer 2024-09-10 11 pages,12 figures
Multi-Weather Image Restoration via Histogram-Based Transformer Feature Enhancement 2024-09-10
arXiv...

arXiv admin note: text overlap with arXiv:2409.03249

AgileIR: Memory-Efficient Group Shifted Windows Attention for Agile Image Restoration 2024-09-10
Adversarial Purification and Fine-tuning for Robust UDC Image Restoration 2024-09-08
Power Line Aerial Image Restoration under dverse Weather: Datasets and Baselines 2024-09-07
Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior 2024-09-06 24 pages
Data-free Distillation with Degradation-prompt Diffusion for Multi-weather Image Restoration 2024-09-05
Multiple weather images restoration using the task transformer and adaptive mixup strategy 2024-09-05
10 pa...

10 pages, 5 figures and 2 table

Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem 2024-09-05
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models 2024-09-03
Accep...

Accepted by ECCV 2024

F2former: When Fractional Fourier Meets Deep Wiener Deconvolution and Selective Frequency Transformer for Image Deblurring 2024-09-03 20 pages, 21 figures
Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt Guidance 2024-09-03
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting 2024-09-03 7 pages, 5 figures
Accurate Forgetting for All-in-One Image Restoration Model 2024-09-01
AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning 2024-08-30
Efficient Image Restoration through Low-Rank Adaptation and Stable Diffusion XL 2024-08-30 10 pages
GameIR: A Large-Scale Synthesized Ground-Truth Dataset for Image Restoration over Gaming Content 2024-08-29
Enhanced Control for Diffusion Bridge in Image Restoration 2024-08-29
Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration 2024-08-28 13 pages, 8 figures
HAIR: Hypernetworks-based All-in-One Image Restoration 2024-08-28 16 pages

Diffusion Model

Title Date Comment
SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation 2024-09-10
Param...

Parameter efficient finetuning method

Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models 2024-09-10
Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition 2024-09-10
What happens to diffusion model likelihood when your model is conditional? 2024-09-10
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative Refinement 2024-09-10
Diff-INR: Generative Regularization for Electrical Impedance Tomography 2024-09-10
SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation 2024-09-10
Accep...

Accepted to CVPR 2024; Github: https://github.com/VinAIResearch/SwiftBrush

RangeLDM: Fast Realistic LiDAR Point Cloud Generation 2024-09-10
Multi-Source Music Generation with Latent Diffusion 2024-09-10
ICASS...

ICASSP 2025 in Submission

MyGo: Consistent and Controllable Multi-View Driving Video Generation with Camera Control 2024-09-10
Make-A-Shape: a Ten-Million-scale 3D Shape Model 2024-09-10
EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation 2024-09-10
Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer 2024-09-09
SVS-GAN: Leveraging GANs for Semantic Video Synthesis 2024-09-09
DiffusionPen: Towards Controlling the Style of Handwritten Text Generation 2024-09-09
ARTIST: Improving the Generation of Text-rich Images with Disentangled Diffusion Models 2024-09-09
Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger Guidance 2024-09-09
CoDiCast: Conditional Diffusion Model for Weather Prediction with Uncertainty Quantification 2024-09-09
Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing 2024-09-09
Accep...

Accepted to ECCV 2024. The project page is available at https://fusionbrainlab.github.io/Guide-and-Rescale

Improving Antibody Design with Force-Guided Sampling in Diffusion Models 2024-09-09

Vision Language Model

Title Date Comment
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection 2024-09-10
Accep...

Accepted by MM'24 (Oral)

Space3D-Bench: Spatial 3D Question Answering Benchmark 2024-09-10
Human-Free Automated Prompting for Vision-Language Anomaly Detection: Prompt Optimization with Meta-guiding Prompt Scheme 2024-09-10
MAGDA: Multi-agent guideline-driven diagnostic assistance 2024-09-10
INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding 2024-09-10
When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System 2024-09-10
the m...

the manuscript is under review

Revisiting Prompt Pretraining of Vision-Language Models 2024-09-10
PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems 2024-09-09
Accep...

Accepted at IROS 2024

A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models 2024-09-09
Accep...

Accepted at ECCV 2024 OOD-CV Workshop

DexDiff: Towards Extrinsic Dexterity Manipulation of Ungraspable Objects in Unrestricted Environments 2024-09-09
From Words to Poses: Enhancing Novel Object Pose Estimation with Vision Language Models 2024-09-09
Jailbreaking Text-to-Image Models with LLM-Based Agents 2024-09-09
A Survey of Multimodal Composite Editing and Retrieval 2024-09-09
22 pa...

22 pages, 3 figures, and 11 tables

Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling 2024-09-09
NeIn: Telling What You Don't Want 2024-09-09
PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions 2024-09-08
Accep...

Accepted by ACM Multimedia 2024 BNI track (Oral)

Open-vocabulary Temporal Action Localization using VLMs 2024-09-08
8 pag...

8 pages, 5 figures, 4 tables. Last updated on September 3rd, 2024

Towards Generative Class Prompt Learning for Fine-grained Visual Recognition 2024-09-07
Accep...

Accepted in BMVC 2024

Video Editing for Video Retrieval 2024-09-07
POINTS: Improving Your Vision-language Model with Affordable Strategies 2024-09-07

Photoacoustic Image

Title Date Comment
A study on the adequacy of common IQA measures for medical images 2024-08-20
SlingBAG: Sliding ball adaptive growth algorithm with differentiable radiation enables super-efficient iterative 3D photoacoustic image reconstruction 2024-07-16
Limited-View Photoacoustic Imaging Reconstruction Via High-quality Self-supervised Neural Representation 2024-07-04
Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning 2024-07-02 31 pages, 8 figures
A study of why we need to reassess full reference image quality assessment with medical images 2024-05-29
GPU-Based Parallel Computing Methods for Medical Photoacoustic Image Reconstruction 2024-04-16
Streamlined Photoacoustic Image Processing with Foundation Models: A Training-Free Solution 2024-04-11
Distribution-informed and wavelength-flexible data-driven photoacoustic oximetry 2024-03-21 37 pages, 7 figures
Learning-based sound speed estimation and aberration correction in linear-array photoacoustic imaging 2024-03-05
Speeding up Photoacoustic Imaging using Diffusion Models 2023-12-14 10 pages, 7 figures
Breaking the Resolution limit in Photoacoustic Imaging using Positivity and Sparsity 2023-10-21
Score-based Generative Models for Photoacoustic Image Reconstruction with Rotation Consistency Constraints 2023-06-24
Arc-to-line frame registration method for ultrasound and photoacoustic image-guided intraoperative robot-assisted laparoscopic prostatectomy 2023-06-21 12 pages, 9 figures
Moving beyond simulation: data-driven quantitative photoacoustic imaging using tissue-mimicking phantoms 2023-06-11 20 pages, 14 figures
Photoacoustic image synthesis with generative adversarial networks 2022-10-25
10 pa...

10 pages, 6 figures, 2 tables, update with paper published at Photoacoustics

Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging 2022-04-24
Submi...

Submitted to PRML - Medical Imaging with Deep Learning Conference 2022

Semantic segmentation of multispectral photoacoustic images using deep learning 2022-04-16
8 pag...

8 pages, 7 figures, 3 tables

Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging 2022-01-27
accep...

accepted by BVM conference proceedings 2022

Deep Learning Adapted Acceleration for Limited-view Photoacoustic Computed Tomography 2021-11-08
submi...

submitted the journal version

Fourier Neural Operator Networks: A Fast and General Solver for the Photoacoustic Wave Equation 2021-08-20

Prompt Optimization

Title Date Comment
Human-Free Automated Prompting for Vision-Language Anomaly Detection: Prompt Optimization with Meta-guiding Prompt Scheme 2024-09-10
Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts 2024-09-06
Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation 2024-09-05
Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition 2024-09-03
DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity 2024-08-30
Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation 2024-08-26
Can Large Language Models Automatically Jailbreak GPT-4V? 2024-08-23
Trust...

TrustNLP@NAACL2024 (Fourth Workshop on Trustworthy Natural Language Processing)

DAAD: Dynamic Analysis and Adaptive Discriminator for Fake News Detection 2024-08-20
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter 2024-08-20
7 pag...

7 pages, 4 figures, 5 tables

QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning 2024-08-20
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting 2024-08-18
13 pa...

13 pages, 8 figures, conference

FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema 2024-08-14
Large Language Models Prompting With Episodic Memory 2024-08-14
RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models 2024-08-09
8 pag...

8 pages, 3 figures, and 8 tables

FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across Tokenizers 2024-08-09
Publi...

Published as a Conference Paper at COLM 2024; 10 Pages; https://github.com/jnwilliams/FUSE_prompt_inversion.git

Large Language Models for Base Station Siting: Intelligent Deployment based on Prompt or Agent 2024-08-07
Zero-Shot Cross-Domain Dialogue State Tracking via Dual Low-Rank Adaptation 2024-07-31 Accepted by ACL 2024
Conditioned Prompt-Optimization for Continual Deepfake Detection 2024-07-31
Accep...

Accepted at ICPR 2024

Small Molecule Optimization with Large Language Models 2024-07-26
Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction 2024-07-23 in submission