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09/15/2023
UniST: Towards Unifying Saliency Transformer for Video Saliency Prediction and Detection
Video saliency prediction and detection are thriving research domains th...
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09/07/2023
DGSD: Dynamical Graph Self-Distillation for EEG-Based Auditory Spatial Attention Detection
Auditory Attention Detection (AAD) aims to detect target speaker from br...
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09/05/2023
OHQ: On-chip Hardware-aware Quantization
Quantization emerges as one of the most promising approaches for deployi...
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08/31/2023
Domain Adaptive Synapse Detection with Weak Point Annotations
The development of learning-based methods has greatly improved the detec...
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08/25/2023
DARWIN Series: Domain Specific Large Language Models for Natural Science
Emerging tools bring forth fresh approaches to work, and the field of na...
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08/24/2023
Inducing Causal Structure for Abstractive Text Summarization
The mainstream of data-driven abstractive summarization models tends to ...
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08/20/2023
Minimalist Traffic Prediction: Linear Layer Is All You Need
Traffic prediction is essential for the progression of Intelligent Trans...
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08/19/2023
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation
Instance segmentation in electron microscopy (EM) volumes poses a signif...
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08/09/2023
Induction Network: Audio-Visual Modality Gap-Bridging for Self-Supervised Sound Source Localization
Self-supervised sound source localization is usually challenged by the m...
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08/06/2023
Multi-scale Alternated Attention Transformer for Generalized Stereo Matching
Recent stereo matching networks achieves dramatic performance by introdu...
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07/10/2023
Causal Neural Graph Collaborative Filtering
Graph collaborative filtering (GCF) has gained considerable attention in...
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07/08/2023
FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction
DeepFake based digital facial forgery is threatening public media securi...
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06/24/2023
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective
Graph neural networks (GNNs) have pioneered advancements in graph repres...
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06/07/2023
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation
Vision-Language Pretraining (VLP) has demonstrated remarkable capabiliti...
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05/22/2023
Transforming Geospatial Ontologies by Homomorphisms
In this paper, we study the (geospatial) ontologies we are interested in...
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05/16/2023
Deep ReLU Networks Have Surprisingly Simple Polytopes
A ReLU network is a piecewise linear function over polytopes. Figuring o...
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05/11/2023
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack
Rutting of asphalt pavements is a crucial design criterion in various pa...
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04/22/2023
Towards Understanding Feature Learning in Out-of-Distribution Generalization
A common explanation for the failure of out-of-distribution (OOD) genera...
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04/05/2023
Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT
The amount of data has growing significance in exploring cutting-edge ma...
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03/11/2023
CASP-Net: Rethinking Video Saliency Prediction from an Audio-VisualConsistency Perceptual Perspective
Incorporating the audio stream enables Video Saliency Prediction (VSP) t...
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02/28/2023
Generic-to-Specific Distillation of Masked Autoencoders
Large vision Transformers (ViTs) driven by self-supervised pre-training ...
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12/17/2022
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective
Determining causal effects of temporal multi-intervention assists decisi...
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11/20/2022
Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph?
Existing graph contrastive learning (GCL) typically requires two forward...
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11/09/2022
Nonparametric Estimation of the Continuous Treatment Effect with Measurement Error
We identify the average dose-response function (ADRF) for a continuously...
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10/31/2022
ViT-LSLA: Vision Transformer with Light Self-Limited-Attention
Transformers have demonstrated a competitive performance across a wide r...
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10/30/2022
Robust Data Valuation via Variance Reduced Data Shapley
Data valuation, especially quantifying data value in algorithmic predict...
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10/26/2022
Anisotropic multiresolution analyses for deep fake detection
Generative Adversarial Networks (GANs) have paved the path towards entir...
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10/15/2022
Nonparametric Estimation of Mediation Effects with A General Treatment
To investigate causal mechanisms, causal mediation analysis decomposes t...
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10/12/2022
Solving combinational optimization problems with evolutionary single-pixel imaging
Single-pixel imaging (SPI) is a novel optical imaging technique by repla...
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10/06/2022
VLSNR:Vision-Linguistics Coordination Time Sequence-aware News Recommendation
News representation and user-oriented modeling are both essential for ne...
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10/01/2022
Causal Effect of Functional Treatment
Functional data often arise in the areas where the causal treatment effe...
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09/07/2022
Propagation Path Loss Models in Forest Scenario at 605 MHz
When signals propagate through forest areas, they will be affected by en...
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09/07/2022
On the Sparse DAG Structure Learning Based on Adaptive Lasso
Learning the underlying casual structure, represented by Directed Acycli...
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09/01/2022
Extreme Continuous Treatment Effects: Measures, Estimation and Inference
This paper concerns estimation and inference for treatment effects in de...
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06/21/2022
A Hierarchical HAZOP-Like Safety Analysis for Learning-Enabled Systems
Hazard and Operability Analysis (HAZOP) is a powerful safety analysis te...
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05/30/2022
HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling
Recently, masked image modeling (MIM) has offered a new methodology of s...
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05/27/2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
State-of-the-art causal discovery methods usually assume that the observ...
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05/17/2022
Hierarchical Distribution-Aware Testing of Deep Learning
With its growing use in safety/security-critical applications, Deep Lear...
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05/11/2022
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Advanced deep neural networks (DNNs), designed by either human or AutoML...
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05/07/2022
Playing Tic-Tac-Toe Games with Intelligent Single-pixel Imaging
Single-pixel imaging (SPI) is a novel optical imaging technique by repla...
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04/11/2022
Augmentation-Free Graph Contrastive Learning
Graph contrastive learning (GCL) is the most representative and prevalen...
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03/11/2022
Enhancing Adversarial Training with Second-Order Statistics of Weights
Adversarial training has been shown to be one of the most effective appr...
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03/10/2022
An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection
DeepFake based digital facial forgery is threatening the public media se...
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03/08/2022
Attention-Based Lip Audio-Visual Synthesis for Talking Face Generation in the Wild
Talking face generation with great practical significance has attracted ...
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03/05/2022
Audio-visual speech separation based on joint feature representation with cross-modal attention
Multi-modal based speech separation has exhibited a specific advantage o...
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03/04/2022
Look&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement
Active speaker detection and speech enhancement have become two increasi...
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02/24/2022
Auto-scaling Vision Transformers without Training
This work targets automated designing and scaling of Vision Transformers...
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02/04/2022
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning
PAC-Bayesian is an analysis framework where the training error can be ex...
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01/29/2022
Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions
Distributed machine learning (DML) over time-varying networks can be an ...
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12/30/2021