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09/21/2023
TextCLIP: Text-Guided Face Image Generation And Manipulation Without Adversarial Training
Text-guided image generation aimed to generate desired images conditione...
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09/05/2023
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation
Spatial time series imputation is critically important to many real appl...
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08/22/2023
Masked Cross-image Encoding for Few-shot Segmentation
Few-shot segmentation (FSS) is a dense prediction task that aims to infe...
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08/18/2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization
Domain generalization (DG) is proposed to deal with the issue of domain ...
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08/18/2023
DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement
Existing unsupervised low-light image enhancement methods lack enough ef...
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07/05/2023
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Despite the ability of existing large-scale text-to-image (T2I) models t...
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06/30/2023
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image
Survival prediction based on whole slide images (WSIs) is a challenging ...
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06/15/2023
Infrastructure Crack Segmentation: Boundary Guidance Method and Benchmark Dataset
Cracks provide an essential indicator of infrastructure performance degr...
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06/07/2023
Extracting Cloud-based Model with Prior Knowledge
Machine Learning-as-a-Service, a pay-as-you-go business pattern, is wide...
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05/26/2023
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography
Current image steganography techniques are mainly focused on cover-based...
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05/25/2023
On the Tool Manipulation Capability of Open-source Large Language Models
Recent studies on software tool manipulation with large language models ...
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05/23/2023
Cross-source Point Cloud Registration: Challenges, Progress and Prospects
The emerging topic of cross-source point cloud (CSPC) registration has a...
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05/12/2023
An Object SLAM Framework for Association, Mapping, and High-Level Tasks
Object SLAM is considered increasingly significant for robot high-level ...
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05/04/2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
Graph neural networks (GNNs) have achieved remarkable success in various...
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04/27/2023
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
By integrating certain optimization solvers with deep neural networks, d...
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04/24/2023
Large-capacity and Flexible Video Steganography via Invertible Neural Network
Video steganography is the art of unobtrusively concealing secret data i...
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03/23/2023
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
Deep point cloud registration methods face challenges to partial overlap...
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03/17/2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
The "pre-training → downstream adaptation" presents both new opportuniti...
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03/17/2023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
Recently, conditional diffusion models have gained popularity in numerou...
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03/05/2023
Force-Directed Graph Layouts Revisited: A New Force Based on the T-Distribution
In this paper, we propose the t-FDP model, a force-directed placement me...
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03/01/2023
Unlimited-Size Diffusion Restoration
Recently, using diffusion models for zero-shot image restoration (IR) ha...
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02/16/2023
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
The incredible generative ability of large-scale text-to-image (T2I) mod...
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01/26/2023
Cross-domain recommendation via user interest alignment
Cross-domain recommendation aims to leverage knowledge from multiple dom...
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01/10/2023
Simulation-based Validation for Autonomous Driving Systems
Simulation is essential to validate autonomous driving systems. However,...
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01/08/2023
Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text
Logical reasoning task involves diverse types of complex reasoning over ...
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12/17/2022
Latent Evolution Model for Change Point Detection in Time-varying Networks
Graph-based change point detection (CPD) play an irreplaceable role in d...
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12/10/2022
Position Embedding Needs an Independent Layer Normalization
The Position Embedding (PE) is critical for Vision Transformers (VTs) du...
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12/09/2022
Object Goal Navigation with End-to-End Self-Supervision
A household robot should be able to navigate to target locations without...
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12/01/2022
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Most existing Image Restoration (IR) models are task-specific, which can...
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11/24/2022
GAN Prior based Null-Space Learning for Consistent Super-Resolution
Consistency and realness have always been the two critical issues of ima...
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11/19/2022
Complementary Labels Learning with Augmented Classes
Complementary Labels Learning (CLL) arises in many real-world tasks such...
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11/09/2022
Masked Vision-Language Transformers for Scene Text Recognition
Scene text recognition (STR) enables computers to recognize and read the...
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10/17/2022
Multi-Agent Automated Machine Learning
In this paper, we propose multi-agent automated machine learning (MA2ML)...
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10/17/2022
Overlap-guided Gaussian Mixture Models for Point Cloud Registration
Probabilistic 3D point cloud registration methods have shown competitive...
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10/06/2022
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
Unsupervised learning on 3D point clouds has undergone a rapid evolution...
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09/29/2022
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual and Language Learning
3D visual grounding aims to find the objects within point clouds mention...
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09/27/2022
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents
The perception system in personalized mobile agents requires developing ...
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09/23/2022
Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance
Collision avoidance is key for mobile robots and agents to operate safel...
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09/05/2022
Performance optimization and analysis of the unstructured Discontinuous Galerkin solver on multi-core and many-core architectures
The discontinuous Galerkin (DG) algorithm is a representative high order...
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08/26/2022
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation
We present a method for generating, predicting, and using Spatiotemporal...
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07/25/2022
TransCL: Transformer Makes Strong and Flexible Compressive Learning
Compressive learning (CL) is an emerging framework that integrates signa...
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07/24/2022
Spatial-temporal Analysis for Automated Concrete Workability Estimation
Concrete workability measure is mostly determined based on subjective as...
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07/12/2022
Frequency Domain Model Augmentation for Adversarial Attack
For black-box attacks, the gap between the substitute model and the vict...
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07/10/2022
Self-attention on Multi-Shifted Windows for Scene Segmentation
Scene segmentation in images is a fundamental yet challenging problem in...
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07/10/2022
Horizontal and Vertical Attention in Transformers
Transformers are built upon multi-head scaled dot-product attention and ...
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06/28/2022
Improving Tese Case Generation for Python Native Libraries Through Constraints on Input Data Structures
Modern Python projects execute computational functions using native libr...
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06/27/2022
Measuring and Improving the Use of Graph Information in Graph Neural Networks
Graph neural networks (GNNs) have been widely used for representation le...
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06/26/2022
Multiple Instance Learning with Mixed Supervision in Gleason Grading
With the development of computational pathology, deep learning methods f...
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06/24/2022
Eco-driving for Electric Connected Vehicles at Signalized Intersections: A Parameterized Reinforcement Learning approach
This paper proposes an eco-driving framework for electric connected vehi...
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06/24/2022