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01/30/2023
Adversarial Style Augmentation for Domain Generalization
It is well-known that the performance of well-trained deep neural networ...
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01/28/2023
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning
Precise robotic grasping of several novel objects is a huge challenge in...
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01/28/2023
Towards Accurate Acne Detection via Decoupled Sequential Detection Head
Accurate acne detection plays a crucial role in acquiring precise diagno...
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01/18/2023
Human-Timescale Adaptation in an Open-Ended Task Space
Foundation models have shown impressive adaptation and scalability in su...
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12/29/2022
A model-free shrinking-dimer saddle dynamics for finding saddle point and solution landscape
We propose a model-free shrinking-dimer saddle dynamics for finding any-...
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12/28/2022
Exploring Vision Transformers as Diffusion Learners
Score-based diffusion models have captured widespread attention and fund...
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12/12/2022
Spectral Deferred Correction Method for Landau-Brazovskii Model with Convex Splitting Technique
The Landau-Brazovskii model is a well-known Landau model for finding the...
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12/03/2022
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
In contrast to fully supervised methods using pixel-wise mask labels, bo...
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12/01/2022
Noisy Label Detection for Speaker Recognition
The success of deep neural networks requires both high annotation qualit...
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11/17/2022
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation
Transformers have achieved remarkable success in medical image analysis ...
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11/13/2022
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
Masked autoencoder has demonstrated its effectiveness in self-supervised...
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11/04/2022
Rethinking the transfer learning for FCN based polyp segmentation in colonoscopy
Besides the complex nature of colonoscopy frames with intrinsic frame fo...
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10/31/2022
Mining Word Boundaries in Speech as Naturally Annotated Word Segmentation Data
Chinese word segmentation (CWS) models have achieved very high performan...
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10/19/2022
HT-Net: Hierarchical Transformer based Operator Learning Model for Multiscale PDEs
Complex nonlinear interplays of multiple scales give rise to many intere...
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10/16/2022
TLDW: Extreme Multimodal Summarisation of News Videos
Multimodal summarisation with multimodal output is drawing increasing at...
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10/15/2022
Learning Dual Memory Dictionaries for Blind Face Restoration
To improve the performance of blind face restoration, recent works mainl...
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10/11/2022
Higher Order Far-Field Boundary Conditions for Crystalline Defects
Lattice defects in crystalline materials create long-range elastic field...
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10/10/2022
A Posteriori Error Estimate and Adaptivity for QM/MM Models of Crystalline Defects
Hybrid quantum/molecular mechanics models (QM/MM methods) are widely use...
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10/09/2022
Attention Diversification for Domain Generalization
Convolutional neural networks (CNNs) have demonstrated gratifying result...
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10/03/2022
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution
Designing proper training pairs is critical for super-resolving the real...
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09/26/2022
When Digital Economy Meets Web3.0: Applications and Challenges
With the continuous development of web technology, Web3.0 has attracted ...
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09/19/2022
A fast front-tracking approach and its analysis for a temporal multiscale flow problem with a fractional-order boundary growth
This paper is concerned with a blood flow problem coupled with a slow pl...
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09/06/2022
Statistical Foundation Behind Machine Learning and Its Impact on Computer Vision
This paper revisits the principle of uniform convergence in statistical ...
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08/28/2022
DP-PSI: Private and Secure Set Intersection
One way to classify private set intersection (PSI) for secure 2-party co...
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08/12/2022
Maximizing the Use of Environmental Constraints: A Pushing-Based Hybrid Position/Force Assembly Skill for Contact-Rich Tasks
The need for contact-rich tasks is rapidly growing in modern manufacturi...
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08/10/2022
Language Supervised Training for Skeleton-based Action Recognition
Skeleton-based action recognition has drawn a lot of attention for its c...
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07/27/2022
Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition
Transformer-based methods have recently achieved great advancement on 2D...
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07/24/2022
Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges
Data drift is a thorny challenge when deploying person re-identification...
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07/21/2022
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture
Automated data augmentation, which aims at engineering augmentation poli...
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07/21/2022
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration
Generative adversarial networks (GANs) have drawn enormous attention due...
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07/20/2022
Mathematical and numerical analysis to shrinking-dimer saddle dynamics with local Lipschitz conditions
We present a mathematical and numerical investigation to the shrinkingdi...
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07/19/2022
Box-supervised Instance Segmentation with Level Set Evolution
In contrast to the fully supervised methods using pixel-wise mask labels...
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07/17/2022
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object Detection
Exploiting pseudo labels (e.g., categories and bounding boxes) of unanno...
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07/15/2022
Auggie: Encouraging Effortful Communication through Handcrafted Digital Experiences
Digital communication is often brisk and automated. From auto-completed ...
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07/15/2022
MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources
Recent neural network based Direction of Arrival (DoA) estimation algori...
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07/14/2022
E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information Flow
Binary neural network (BNN) provides a promising solution to deploy para...
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07/12/2022
Domain Gap Estimation for Source Free Unsupervised Domain Adaptation with Many Classifiers
In theory, the success of unsupervised domain adaptation (UDA) largely r...
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07/08/2022
Learning High-quality Proposals for Acne Detection
Acne detection is crucial for interpretative diagnosis and precise treat...
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07/07/2022
Masked Surfel Prediction for Self-Supervised Point Cloud Learning
Masked auto-encoding is a popular and effective self-supervised learning...
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07/05/2022
Universal Domain Adaptive Object Detector
Universal domain adaptive object detection (UniDAOD)is more challenging ...
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07/04/2022
Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters
Semantic segmentation on driving-scene images is vital for autonomous dr...
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06/21/2022
Discretization and index-robust error analysis for constrained high-index saddle dynamics on high-dimensional sphere
We develop and analyze numerical discretization to the constrained high-...
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06/20/2022
Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation with only image-level labels aim...
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06/15/2022
SP-ViT: Learning 2D Spatial Priors for Vision Transformers
Recently, transformers have shown great potential in image classificatio...
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06/13/2022
Learning Domain Adaptive Object Detection with Probabilistic Teacher
Self-training for unsupervised domain adaptive object detection is a cha...
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06/07/2022
A Route Network Planning Method for Urban Air Delivery
High-tech giants and start-ups are investing in drone technologies to pr...
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05/26/2022
Are Transformers Effective for Time Series Forecasting?
Recently, there has been a surge of Transformer-based solutions for the ...
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05/03/2022
Intelligent Reflecting Surface Networks with Multi-Order-Reflection Effect: System Modelling and Critical Bounds
In this paper, we model, analyze and optimize the multi-user and multi-o...
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04/25/2022
SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images
The existing deep learning fusion methods mainly concentrate on the conv...
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04/15/2022