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08/24/2023
MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices
Image restoration aims to restore high-quality images from degraded coun...
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08/10/2023
Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models
Aphid infestation poses a significant threat to crop production, rural c...
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07/17/2023
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild
Aphid infestations can cause extensive damage to wheat and sorghum field...
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07/12/2023
A New Dataset and Comparative Study for Aphid Cluster Detection
Aphids are one of the main threats to crops, rural families, and global ...
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07/06/2023
Theoretical Bounds for the Size of Elementary Trapping Sets by Graphic Methods
Elementary trapping sets (ETSs) are the main culprits for the performanc...
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07/04/2023
Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI
Simultaneous multi-index quantification, segmentation, and uncertainty e...
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07/03/2023
Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection
We propose a general methodology Reliever for fast and reliable changepo...
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06/29/2023
Zipper: Addressing degeneracy in algorithm-agnostic inference
The widespread use of black box prediction methods has sparked an increa...
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05/30/2023
On Riemannian Projection-free Online Learning
The projection operation is a critical component in a wide range of opti...
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05/28/2023
OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth Estimation
Light field (LF) depth estimation is a crucial task with numerous practi...
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05/27/2023
Faster Margin Maximization Rates for Generic Optimization Methods
First-order optimization methods tend to inherently favor certain soluti...
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05/26/2023
Gender, Smoking History and Age Prediction from Laryngeal Images
Flexible laryngoscopy is commonly performed by otolaryngologists to dete...
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03/24/2023
An Optimization Model for Offline Scheduling Policy of Low-density Parity-check Codes
In this study, an optimization model for offline scheduling policy of lo...
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02/17/2023
Minimizing Dynamic Regret on Geodesic Metric Spaces
In this paper, we consider the sequential decision problem where the goa...
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10/25/2022
Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets
Vision Transformers have attracted a lot of attention recently since the...
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10/22/2022
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets
Vision Transformers has demonstrated competitive performance on computer...
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10/17/2022
Adaptive Oracle-Efficient Online Learning
The classical algorithms for online learning and decision-making have th...
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10/17/2022
On Accelerated Perceptrons and Beyond
The classical Perceptron algorithm of Rosenblatt can be used to find a l...
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07/28/2022
Model Predictive Control of Nonlinear Latent Force Models: A Scenario-Based Approach
Control of nonlinear uncertain systems is a common challenge in the robo...
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05/02/2022
Computationally efficient and data-adaptive changepoint inference in high dimension
High-dimensional changepoint inference that adapts to various change pat...
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04/17/2022
In Defense of Subspace Tracker: Orthogonal Embedding for Visual Tracking
The paper focuses on a classical tracking model, subspace learning, grou...
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03/29/2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients
Deep neural networks for 3D point cloud classification, such as PointNet...
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01/30/2022
Aggregating Global Features into Local Vision Transformer
Local Transformer-based classification models have recently achieved pro...
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01/23/2022
Dynamic Label Assignment for Object Detection by Combining Predicted and Anchor IoUs
Label assignment plays a significant role in modern object detection mod...
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12/31/2021
An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training
In this paper, we propose a dual-module network architecture that employ...
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12/26/2021
Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence
Object Detection with Transformers (DETR) and related works reach or eve...
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12/25/2021
Semantic Clustering based Deduction Learning for Image Recognition and Classification
The paper proposes a semantic clustering based deduction learning by mim...
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12/17/2021
Towards More Effective PRM-based Crowd Counting via A Multi-resolution Fusion and Attention Network
The paper focuses on improving the recent plug-and-play patch rescaling ...
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12/10/2021
A Discriminative Channel Diversification Network for Image Classification
Channel attention mechanisms in convolutional neural networks have been ...
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10/21/2021
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translation
Recent image-to-image translation models have shown great success in map...
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09/04/2021
Audio-Visual Transformer Based Crowd Counting
Crowd estimation is a very challenging problem. The most recent study tr...
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08/17/2021
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer
The paper proposes a Dynamic ResBlock Generative Adversarial Network (DR...
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08/02/2021
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Adversarial training based on the maximum classifier discrepancy between...
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07/02/2021
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
In this paper, we study stochastic optimization of areas under precision...
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05/17/2021
A Fine-Grained Visual Attention Approach for Fingerspelling Recognition in the Wild
Fingerspelling in sign language has been the means of communicating tech...
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05/11/2021
Few-Shot Learning by Integrating Spatial and Frequency Representation
Human beings can recognize new objects with only a few labeled examples,...
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05/08/2021
A Simple yet Universal Strategy for Online Convex Optimization
Recently, several universal methods have been proposed for online convex...
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05/03/2021
Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation
Colonoscopy is a procedure to detect colorectal polyps which are the pri...
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04/26/2021
SGNet: A Super-class Guided Network for Image Classification and Object Detection
Most classification models treat different object classes in parallel an...
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04/25/2021
Parallel Scale-wise Attention Network for Effective Scene Text Recognition
The paper proposes a new text recognition network for scene-text images....
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04/22/2021
Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations
Colorectal cancer (CRC) is one of the most common types of cancer with a...
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04/05/2021
Branch-and-Pruning Optimization Towards Global Optimality in Deep Learning
It has been attracting more and more attention to understand the global ...
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03/21/2021
Online Convex Optimization with Continuous Switching Constraint
In many sequential decision making applications, the change of decision ...
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03/20/2021
Projection-free Distributed Online Learning with Strongly Convex Losses
To efficiently solve distributed online learning problems with complicat...
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02/10/2021
Classification of Long Noncoding RNA Elements Using Deep Convolutional Neural Networks and Siamese Networks
In the last decade, the discovery of noncoding RNA(ncRNA) has exploded. ...
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01/19/2021
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images
Depth estimation and semantic segmentation play essential roles in scene...
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01/03/2021
Six-channel Image Representation for Cross-domain Object Detection
Most deep learning models are data-driven and the excellent performance ...
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12/17/2020
Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter
This paper focuses on the problem of online golf ball detection and trac...
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11/02/2020
Deep Feature Augmentation for Occluded Image Classification
Due to the difficulty in acquiring massive task-specific occluded images...
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10/27/2020
