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08/29/2023
Document AI: A Comparative Study of Transformer-Based, Graph-Based Models, and Convolutional Neural Networks For Document Layout Analysis
Document AI aims to automatically analyze documents by leveraging natura...
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06/09/2023
Improving Frame-level Classifier for Word Timings with Non-peaky CTC in End-to-End Automatic Speech Recognition
End-to-end (E2E) systems have shown comparable performance to hybrid sys...
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03/01/2023
Sketch2Cloth: Sketch-based 3D Garment Generation with Unsigned Distance Fields
3D model reconstruction from a single image has achieved great progress ...
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02/16/2023
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking
The increasing use of Machine Learning (ML) software can lead to unfair ...
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12/20/2022
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction
User behavior data produced during interaction with massive items in the...
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10/28/2022
Improving short-video speech recognition using random utterance concatenation
One of the limitations in end-to-end automatic speech recognition framew...
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10/26/2022
Reducing Language confusion for Code-switching Speech Recognition with Token-level Language Diarization
Code-switching (CS) refers to the phenomenon that languages switch withi...
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07/09/2022
Intermediate-layer output Regularization for Attention-based Speech Recognition with Shared Decoder
Intermediate layer output (ILO) regularization by means of multitask tra...
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07/09/2022
Internal Language Model Estimation based Language Model Fusion for Cross-Domain Code-Switching Speech Recognition
Internal Language Model Estimation (ILME) based language model (LM) fusi...
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06/13/2022
Efficient Human-in-the-loop System for Guiding DNNs Attention
Attention guidance is an approach to addressing dataset bias in deep lea...
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04/25/2022
Online Deep Learning from Doubly-Streaming Data
This paper investigates a new online learning problem with doubly-stream...
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04/16/2022
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data
High-dimensional and sparse (HiDS) matrices are omnipresent in a variety...
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04/16/2022
Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices
A High-dimensional and sparse (HiDS) matrix is frequently encountered in...
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03/17/2022
A Systematic Study of Android Non-SDK (Hidden) Service API Security
Android allows apps to communicate with its system services via system s...
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01/27/2022
Sketch-based 3D Shape Modeling from Sparse Point Clouds
3D modeling based on point clouds is an efficient way to reconstruct and...
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01/26/2022
Internal language model estimation through explicit context vector learning for attention-based encoder-decoder ASR
An end-to-end (E2E) speech recognition model implicitly learns a biased ...
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09/17/2021
Asymmetric 3D Context Fusion for Universal Lesion Detection
Modeling 3D context is essential for high-performance 3D medical image a...
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04/23/2021
Sketch-based Normal Map Generation with Geometric Sampling
Normal map is an important and efficient way to represent complex 3D mod...
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11/03/2020
Improving RNN transducer with normalized jointer network
Recurrent neural transducer (RNN-T) is a promising end-to-end (E2E) mode...
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11/03/2020
Dynamic latency speech recognition with asynchronous revision
In this work we propose an inference technique, asynchronous revision, t...
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06/18/2020
Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks
Fluorescein angiography can provide a map of retinal vascular structure ...
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05/05/2020
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes
This paper addresses a fundamental challenge in 3D medical image process...
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08/06/2019
Semi-supervised Skin Detection by Network with Mutual Guidance
In this paper we present a new data-driven method for robust skin detect...
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08/16/2018
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems
Numerous tasks at the core of statistics, learning and vision areas are ...
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07/31/2018
Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond
Blind image deblurring plays a very important role in many vision and mu...
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04/28/2018
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization
Operator splitting methods have been successfully used in computational ...
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05/17/2017
Frame Stacking and Retaining for Recurrent Neural Network Acoustic Model
Frame stacking is broadly applied in end-to-end neural network training ...
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03/21/2017
Deep LSTM for Large Vocabulary Continuous Speech Recognition
Recurrent neural networks (RNNs), especially long short-term memory (LST...
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03/03/2017