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09/13/2023
OrdinalFix: Fixing Compilation Errors via Shortest-Path CFL Reachability
The development of correct and efficient software can be hindered by com...
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09/13/2023
Predicting Fatigue Crack Growth via Path Slicing and Re-Weighting
Predicting potential risks associated with the fatigue of key structural...
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08/31/2023
Object Detection for Caries or Pit and Fissure Sealing Requirement in Children's First Permanent Molars
Dental caries is one of the most common oral diseases that, if left untr...
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08/30/2023
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems
In sequential recommendation, multi-modal information (e.g., text or ima...
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08/30/2023
Semi-supervised Domain Adaptation with Inter and Intra-domain Mixing for Semantic Segmentation
Despite recent advances in semantic segmentation, an inevitable challeng...
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08/29/2023
Large Language Models in Fault Localisation
Large Language Models (LLMs) have shown promise in multiple software eng...
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08/28/2023
Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation
Visual bird's eye view (BEV) semantic segmentation helps autonomous vehi...
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08/24/2023
Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking
Siamese network has been a de facto benchmark framework for 3D LiDAR obj...
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08/23/2023
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
Large-scale well-annotated datasets are of great importance for training...
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08/21/2023
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
The conjugate gradient method is a crucial first-order optimization meth...
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08/18/2023
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching
Class prototype construction and matching are core aspects of few-shot a...
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08/17/2023
Beam Retrieval: General End-to-End Retrieval for Multi-Hop Question Answering
Multi-hop QA involves finding multiple relevant passages and step-by-ste...
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08/15/2023
A Survey on Model Compression for Large Language Models
Large Language Models (LLMs) have revolutionized natural language proces...
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08/14/2023
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning
Structured pruning and quantization are promising approaches for reducin...
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08/11/2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning
Benefiting from prompt tuning, recent years have witnessed the promising...
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08/05/2023
Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution
Recent years have witnessed a few attempts of vision transformers for si...
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08/03/2023
Unsupervised Representation Learning for Time Series: A Review
Unsupervised representation learning approaches aim to learn discriminat...
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08/03/2023
Multimodal Adaptation of CLIP for Few-Shot Action Recognition
Applying large-scale pre-trained visual models like CLIP to few-shot act...
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07/25/2023
High Probability Analysis for Non-Convex Stochastic Optimization with Clipping
Gradient clipping is a commonly used technique to stabilize the training...
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07/14/2023
Can Large Language Models Empower Molecular Property Prediction?
Molecular property prediction has gained significant attention due to it...
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07/13/2023
YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices
In the realm of Tiny AI, we introduce "You Only Look at Interested Cells...
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07/05/2023
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions
The field of cooperative multi-agent reinforcement learning (MARL) has s...
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07/02/2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Neural network quantization is a very promising solution in the field of...
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06/27/2023
SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion
Semantic scene completion (SSC) jointly predicts the semantics and geome...
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06/27/2023
PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation
Reliable LiDAR panoptic segmentation (LPS), including both semantic and ...
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06/08/2023
ViG-UNet: Vision Graph Neural Networks for Medical Image Segmentation
Deep neural networks have been widely used in medical image analysis and...
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05/30/2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Real-world time series is characterized by intrinsic non-stationarity th...
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05/21/2023
Generative Model Watermarking Suppressing High-Frequency Artifacts
Protecting deep neural networks (DNNs) against intellectual property (IP...
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05/19/2023
Learning Global-aware Kernel for Image Harmonization
Image harmonization aims to solve the visual inconsistency problem in co...
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05/14/2023
Towards Understanding the Generalization of Graph Neural Networks
Graph neural networks (GNNs) are the most widely adopted model in graph-...
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05/10/2023
FusionDepth: Complement Self-Supervised Monocular Depth Estimation with Cost Volume
Multi-view stereo depth estimation based on cost volume usually works be...
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05/04/2023
Multimodal-driven Talking Face Generation, Face Swapping, Diffusion Model
Multimodal-driven talking face generation refers to animating a portrait...
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05/04/2023
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning
Recently, emotional talking face generation has received considerable at...
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04/17/2023
NeRF-Loc: Visual Localization with Conditional Neural Radiance Field
We propose a novel visual re-localization method based on direct matchin...
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04/07/2023
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution
Most of the existing blind image Super-Resolution (SR) methods assume th...
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04/06/2023
Robust Neural Architecture Search
Neural Architectures Search (NAS) becomes more and more popular over the...
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03/28/2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
Federated Magnetic Resonance Imaging (MRI) reconstruction enables multip...
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03/23/2023
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
Deep learning models have shown promising performance in the field of di...
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03/15/2023
RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction
Recently, neural implicit surfaces have become popular for multi-view re...
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03/15/2023
Progressive Frame Patching for FoV-based Point Cloud Video Streaming
Immersive multimedia applications, such as Virtual, Augmented and Mixed ...
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03/14/2023
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
Medical phrase grounding (MPG) aims to locate the most relevant region i...
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03/13/2023
OverlapNetVLAD: A Coarse-to-Fine Framework for LiDAR-based Place Recognition
Place recognition is a challenging yet crucial task in robotics. Existin...
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03/09/2023
Efficient and Parallel Solution of High-order Continuous Time Galerkin for Dissipative and Wave Propagation Problems
We propose efficient and parallel algorithms for the implementation of t...
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02/28/2023
A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation
Pairwise point cloud registration is a critical task for many applicatio...
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02/16/2023
TcGAN: Semantic-Aware and Structure-Preserved GANs with Individual Vision Transformer for Fast Arbitrary One-Shot Image Generation
One-shot image generation (OSG) with generative adversarial networks tha...
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02/16/2023
Fuzzy Knowledge Distillation from High-Order TSK to Low-Order TSK
High-order Takagi-Sugeno-Kang (TSK) fuzzy classifiers possess powerful c...
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02/14/2023
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning
Real-world cooperation often requires intensive coordination among agent...
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02/11/2023
Operation-level Progressive Differentiable Architecture Search
Differentiable Neural Architecture Search (DARTS) is becoming more and m...
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02/11/2023
Improving Differentiable Architecture Search via Self-Distillation
Differentiable Architecture Search (DARTS) is a simple yet efficient Neu...
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02/07/2023