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07/28/2023
ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovation
This paper presents the development and evaluation of ChatHome, a domain...
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08/17/2022
Analyzing Robustness of End-to-End Neural Models for Automatic Speech Recognition
We investigate robustness properties of pre-trained neural models for au...
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08/01/2022
DSLA: Dynamic smooth label assignment for efficient anchor-free object detection
Anchor-free detectors basically formulate object detection as dense clas...
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04/19/2022
Audio-Visual Wake Word Spotting System For MISP Challenge 2021
This paper presents the details of our system designed for the Task 1 of...
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09/08/2021
Metrics to find a surrogate endpoint of OS in metastatic oncology trials: a simulation study
Surrogate endpoint (SE) for overall survival (OS) in cancer patients is ...
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06/13/2021
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
This paper introduces GigaSpeech, an evolving, multi-domain English spee...
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02/19/2021
SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization
To investigate the status quo of SEAndroid policy customization, we prop...
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10/27/2020
Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning
Self-supervised visual pretraining has shown significant progress recent...
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10/21/2020
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog
Audio Visual Scene-aware Dialog (AVSD) is a task to generate responses w...
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07/29/2020
Transformer based unsupervised pre-training for acoustic representation learning
Computational audio analysis has become a central issue in associated ar...
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05/20/2020
A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition
Building a good speech recognition system usually requires large amounts...
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11/09/2019
A Reinforced Generation of Adversarial Samples for Neural Machine Translation
Neural machine translation systems tend to fail on less de-cent inputs d...
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10/23/2019
TCT: A Cross-supervised Learning Method for Multimodal Sequence Representation
Multimodalities provide promising performance than unimodality in most t...
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10/22/2019
Cross-task pre-training for acoustic scene classification
Acoustic scene classification(ASC) and acoustic event detection(AED) are...
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10/22/2019
Improving Transformer-based Speech Recognition Using Unsupervised Pre-training
Speech recognition technologies are gaining enormous popularity in vario...
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09/24/2019
The Field-of-View Constraint of Markers for Mobile Robot with Pan-Tilt Camera
In the field of navigation and visual servo, it is common to calculate r...
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09/19/2019
EPOSIT: An Absolute Pose Estimation Method for Pinhole and Fish-Eye Cameras
This paper presents a generic 6DOF camera pose estimation method, which ...
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09/13/2019
Human Following for Wheeled Robot with Monocular Pan-tilt Camera
Human following on mobile robots has witnessed significant advances due ...
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08/26/2019
High Performance Visual Object Tracking with Unified Convolutional Networks
Convolutional neural networks (CNN) based tracking approaches have shown...
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08/24/2019
Camera Pose Correction in SLAM Based on Bias Values of Map Points
Accurate camera pose estimation result is essential for visual SLAM (VSL...
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08/15/2019
FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks
Both accuracy and efficiency are significant for pose estimation and tra...
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08/02/2019
DELTA: A DEep learning based Language Technology plAtform
In this paper we present DELTA, a deep learning based language technolog...
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01/06/2019
Motion Control on Bionic Eyes: A Comprehensive Review
Biology can provide biomimetic components and new control principles for...
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12/14/2018
Action Machine: Rethinking Action Recognition in Trimmed Videos
Existing methods in video action recognition mostly do not distinguish h...
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11/18/2018
Optical Flow Based Online Moving Foreground Analysis
Obtained by moving object detection, the foreground mask result is unsha...
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11/18/2018
An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes
Real-time motion detection in non-stationary scenes is a difficult task ...
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10/31/2018
Towards End-to-End Code-Switching Speech Recognition
Code-switching speech recognition has attracted an increasing interest r...
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07/13/2018
Optical Flow Based Real-time Moving Object Detection in Unconstrained Scenes
Real-time moving object detection in unconstrained scenes is a difficult...
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05/10/2018
A comparable study of modeling units for end-to-end Mandarin speech recognition
End-To-End speech recognition have become increasingly popular in mandar...
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11/11/2017
End-to-end Video-level Representation Learning for Action Recognition
From the frame/clip-level feature learning to the video-level representa...
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11/10/2017
UCT: Learning Unified Convolutional Networks for Real-time Visual Tracking
Convolutional neural networks (CNN) based tracking approaches have shown...
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11/03/2017
End-to-end Flow Correlation Tracking with Spatial-temporal Attention
Discriminative correlation filters (DCF) with deep convolutional feature...
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09/12/2017