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07/18/2023
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
The annotation scarcity of medical image segmentation poses challenges i...
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06/24/2023
Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices
Recent research has shown that alignment between the structure of graph ...
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06/22/2023
One at A Time: Multi-step Volumetric Probability Distribution Diffusion for Depth Estimation
Recent works have explored the fundamental role of depth estimation in m...
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06/20/2023
EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model
Although previous co-speech gesture generation methods are able to synth...
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06/13/2023
How Secure is Your Website? A Comprehensive Investigation on CAPTCHA Providers and Solving Services
Completely Automated Public Turing Test To Tell Computers and Humans Apa...
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03/12/2023
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
Sparse-view cone-beam CT (CBCT) reconstruction is an important direction...
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02/22/2023
Prediction of single well production rate in water-flooding oil fields driven by the fusion of static, temporal and spatial information
It is very difficult to forecast the production rate of oil wells as the...
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02/19/2023
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning
Pseudo Labeling is a technique used to improve the performance of semi-s...
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01/27/2023
TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization
Stream processing engines (SPEs) are widely used for large scale streami...
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01/18/2023
PTA-Det: Point Transformer Associating Point cloud and Image for 3D Object Detection
In autonomous driving, 3D object detection based on multi-modal data has...
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01/12/2023
1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection Track
OOD-CV challenge is an out-of-distribution generalization task. To solve...
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11/18/2022
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images
Automatic segmentation of head and neck cancer (HNC) tumors and lymph no...
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10/19/2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Recent self-supervised pre-training methods on Heterogeneous Information...
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08/13/2022
Entropy Induced Pruning Framework for Convolutional Neural Networks
Structured pruning techniques have achieved great compression performanc...
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08/09/2022
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification
Pruning techniques are used comprehensively to compress convolutional ne...
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07/16/2022
Learning Quality-aware Dynamic Memory for Video Object Segmentation
Recently, several spatial-temporal memory-based methods have verified th...
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05/03/2022
Residual Graph Convolutional Recurrent Networks For Multi-step Traffic Flow Forecasting
Traffic flow forecasting is essential for traffic planning, control and ...
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03/21/2022
STCGAT: Spatial-temporal causal networks for complex urban road traffic flow prediction
Traffic forecasting is an essential component of intelligent transportat...
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02/16/2022
Less is More: Surgical Phase Recognition from Timestamp Supervision
Surgical phase recognition is a fundamental task in computer-assisted su...
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02/14/2022
What Do They Capture? – A Structural Analysis of Pre-Trained Language Models for Source Code
Recently, many pre-trained language models for source code have been pro...
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01/31/2022
Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations
Multilingual representations pre-trained with monolingual data exhibit c...
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01/26/2022
DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence
Recently, there has been a growing interest in designing text generation...
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01/22/2022
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing
The goal of Knowledge Tracing (KT) is to estimate how well students have...
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12/22/2021
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks
Over-smoothing is a challenging problem, which degrades the performance ...
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12/17/2021
Super-resolution reconstruction of cytoskeleton image based on A-net deep learning network
To date, live-cell imaging at the nanometer scale remains challenging. E...
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12/07/2021
Voxelized 3D Feature Aggregation for Multiview Detection
Multi-view detection incorporates multiple camera views to alleviate occ...
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11/25/2021
A Characterization of MDS Symbol-pair Codes over Two Types of Alphabets
Symbol-pair codes are block codes with symbol-pair metrics designed to p...
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10/20/2021
Better than Average: Paired Evaluation of NLP Systems
Evaluation in NLP is usually done by comparing the scores of competing s...
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10/08/2021
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors
Evaluation metrics are a key ingredient for progress of text generation ...
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09/28/2021
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning
The presence of metallic implants often introduces severe metal artifact...
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09/01/2021
Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast
In this paper, we propose to align sentence representations from differe...
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08/28/2021
AP-10K: A Benchmark for Animal Pose Estimation in the Wild
Accurate animal pose estimation is an essential step towards understandi...
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06/08/2021
Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search
Bid optimization for online advertising from single advertiser's perspec...
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05/25/2021
A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction
Deep learning affords enormous opportunities to augment the armamentariu...
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05/18/2021
Self-interpretable Convolutional Neural Networks for Text Classification
Deep learning models for natural language processing (NLP) are inherentl...
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05/14/2021
Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection
Previous transfer methods for anomaly detection generally assume the ava...
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12/18/2020
Regularized Attentive Capsule Network for Overlapped Relation Extraction
Distantly supervised relation extraction has been widely applied in know...
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12/10/2020
SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification
The classification of electrocardiogram (ECG) signals, which takes much ...
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10/17/2020
Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction
Distant supervision has been a widely used method for neural relation ex...
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09/24/2020
Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems
Automatic math word problem solving has attracted growing attention in r...
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09/23/2020
Bayesian Hierarchical Models for High-Dimensional Mediation Analysis with Coordinated Selection of Correlated Mediators
We consider Bayesian high-dimensional mediation analysis to identify amo...
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08/26/2020
SHAP values for Explaining CNN-based Text Classification Models
Deep neural networks are increasingly used in natural language processin...
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08/20/2020
Inducing Language-Agnostic Multilingual Representations
Multilingual representations have the potential to make cross-lingual sy...
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08/14/2020
Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects
Causal mediation analysis aims to characterize an exposure's effect on a...
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07/23/2020
On Manually Reverse Engineering Communication Protocols of Linux Based IoT Systems
IoT security and privacy has raised grave concerns. Efforts have been ma...
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07/07/2020
Sapphire: Automatic Configuration Recommendation for Distributed Storage Systems
Modern distributed storage systems come with aplethora of configurable p...
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05/27/2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Graph Convolutional Network (GCN) has achieved extraordinary success in ...
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04/23/2020
COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution
A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...
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03/26/2020
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images
Background: Chest computed tomography (CT) is recognized as an important...
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10/17/2019
