research
∙
09/21/2023
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
For improving image composition and aesthetic quality, most existing met...
share
research
∙
08/31/2023
Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentation
Convolutional neural networks (CNNs) have achieved high performance in s...
research
∙
08/19/2023
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation
Instance segmentation in electron microscopy (EM) volumes poses a signif...
research
∙
08/11/2023
CA2: Cyber Attacks Analytics
The VAST Challenge 2020 Mini-Challenge 1 requires participants to identi...
research
∙
08/03/2023
Seasonality Based Reranking of E-commerce Autocomplete Using Natural Language Queries
Query autocomplete (QAC) also known as typeahead, suggests list of compl...
research
∙
06/16/2023
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models
Recent work has studied text-to-audio synthesis using large amounts of p...
research
∙
05/12/2023
Dynamically Conservative Self-Driving Planner for Long-Tail Cases
Self-driving vehicles (SDVs) are becoming reality but still suffer from ...
research
∙
03/14/2023
CAT: Causal Audio Transformer for Audio Classification
The attention-based Transformers have been increasingly applied to audio...
research
∙
03/01/2023
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation
Accurate segmentation of multiple organs of the head, neck, chest, and a...
research
∙
10/23/2022
Quantitative Evidence on Overlooked Aspects of Enrollment Speaker Embeddings for Target Speaker Separation
Single channel target speaker separation (TSS) aims at extracting a spea...
research
∙
08/30/2022
Swin-transformer-yolov5 For Real-time Wine Grape Bunch Detection
In this research, an integrated detection model, Swin-transformer-YOLOv5...
research
∙
08/18/2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniqu
Histopathological images contain abundant phenotypic information and pat...
research
∙
07/02/2022
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles
A typical trajectory planner of autonomous driving usually relies on pre...
research
∙
05/23/2022
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations
In software development, it is common for programmers to copy-paste code...
research
∙
03/08/2022
Learning to Reduce False Positives in Analytic Bug Detectors
Due to increasingly complex software design and rapid iterative developm...
research
∙
11/15/2021
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge
Although deep learning methods have achieved advanced video object recog...
research
∙
09/17/2021
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Statistical language modeling and translation with transformers have fou...
research
∙
04/16/2021
Advanced Deep Networks for 3D Mitochondria Instance Segmentation
Mitochondria instance segmentation from electron microscopy (EM) images ...
research
∙
02/09/2021
On permutation invariant training for speech source separation
We study permutation invariant training (PIT), which targets at the perm...
research
∙
02/02/2021
Occluded Video Instance Segmentation
Can our video understanding systems perceive objects when a heavy occlus...
research
∙
06/02/2020
Efficient Receive Beamformers for Secure Spatial Modulation against a Malicious Full-duplex Attacker with Eavesdropping Ability
In this paper, we consider a new secure spatial modulation scenario with...
research
∙
05/10/2020
Ensemble Wrapper Subsampling for Deep Modulation Classification
Subsampling of received wireless signals is important for relaxing hardw...
research
∙
02/20/2020
An empirical study of Conv-TasNet
Conv-TasNet is a recently proposed waveform-based deep neural network th...
research
∙
12/08/2019
Histogram Transform Ensembles for Large-scale Regression
We propose a novel algorithm for large-scale regression problems named h...
research
∙
07/04/2019
A Deep-learning-based Joint Inference for Secure Spatial Modulation Receiver
As a green and secure wireless transmission way, secure spatial modulati...
research
∙
05/27/2019
Best-scored Random Forest Classification
We propose an algorithm named best-scored random forest for binary class...
research
∙
05/12/2019
Kyrix: Interactive Visual Data Exploration at Scale
Scalable interactive visual data exploration is crucial in many domains ...
research
∙
01/16/2019
Fast Deep Learning for Automatic Modulation Classification
In this work, we investigate the feasibility and effectiveness of employ...
research
∙
09/08/2018
Dual-label Deep LSTM Dereverberation For Speaker Verification
In this paper, we present a reverberation removal approach for speaker v...
research
∙
08/22/2018
Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning
Interpreting a nonparametric regression model with many predictors is kn...
research
∙
12/01/2017
