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07/30/2023
SR-R^2KAC: Improving Single Image Defocus Deblurring
We propose an efficient deep learning method for single image defocus de...
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07/04/2023
Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images
Many skin lesion analysis (SLA) methods recently focused on developing a...
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06/02/2023
DocFormerv2: Local Features for Document Understanding
We propose DocFormerv2, a multi-modal transformer for Visual Document Un...
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04/17/2023
RNN-Guard: Certified Robustness Against Multi-frame Attacks for Recurrent Neural Networks
It is well-known that recurrent neural networks (RNNs), although widely ...
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12/02/2022
MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications
The explosive growth of various types of big data and advances in AI tec...
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08/04/2022
Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network
Tissue segmentation is the mainstay of pathological examination, whereas...
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03/11/2022
Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology
Recognition of glomeruli lesions is the key for diagnosis and treatment ...
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05/31/2021
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction
Pancreatic ductal adenocarcinoma (PDAC) is the third most common cause o...
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05/14/2021
Robust Estimation of Sparse Precision Matrix using Adaptive Weighted Graphical Lasso Approach
Estimation of a precision matrix (i.e., inverse covariance matrix) is wi...
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10/12/2020
Shape-Texture Debiased Neural Network Training
Shape and texture are two prominent and complementary cues for recognizi...
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01/25/2020
Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video
In this paper, we study the problem of weakly-supervised temporal ground...
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01/15/2020
Proposal Learning for Semi-Supervised Object Detection
In this paper, we focus on semi-supervised object detection to boost acc...
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07/04/2019
Security modeling and efficient computation offloading for service workflow in mobile edge computing
It is a big challenge for resource-limited mobile devices (MDs) to execu...
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05/11/2019
Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models
Most objects in the visual world are partially occluded, but humans can ...
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07/09/2018
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
Weakly Supervised Object Detection (WSOD), using only image-level annota...
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04/07/2018
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound
Deep convolutional neural networks (CNNs), especially fully convolutiona...
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04/07/2018
Semi-supervised multi-organ segmentation via multi-planar co-training
Multi-organ segmentation is a critical problem in medical image analysis...
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01/30/2018
Object Detection in Videos by Short and Long Range Object Linking
We address the problem of detecting objects in videos with the interest ...
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05/06/2017
Deep Patch Learning for Weakly Supervised Object Classification and Discovery
Patch-level image representation is very important for object classifica...
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04/01/2017
Multiple Instance Detection Network with Online Instance Classifier Refinement
Of late, weakly supervised object detection is with great importance in ...
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10/08/2016
Revisiting Multiple Instance Neural Networks
Recently neural networks and multiple instance learning are both attract...
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07/31/2016