Feng-Ju Chang

Orcid: 0000-0003-2405-3118

According to our database1, Feng-Ju Chang authored at least 28 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis.
CoRR, 2023

Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Dialog Act Guided Contextual Adapter for Personalized Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Gated Contextual Adapters For Selective Contextual Biasing In Neural Transducers.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Compute Cost Amortized Transformer for Streaming ASR.
Proceedings of the Interspeech 2022, 2022

ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition.
Proceedings of the Interspeech 2022, 2022

Contextual Adapters for Personalized Speech Recognition in Neural Transducers.
Proceedings of the IEEE International Conference on Acoustics, 2022

Multi-Task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Multi-Channel Transformer Transducer for Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Sparsification via Compressed Sensing for Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

End-to-End Multi-Channel Transformer for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Context-Aware Transformer Transducer for Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2019
Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Deep, Landmark-Free FAME: Face Alignment, Modeling, and Expression Estimation.
Int. J. Comput. Vis., 2019

Pose-variant 3D Facial Attribute Generation.
CoRR, 2019

2018
ExpNet: Landmark-Free, Deep, 3D Facial Expressions.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017
FacePoseNet: Making a Case for Landmark-Free Face Alignment.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Local-Global Landmark Confidences for Face Recognition.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016
Learning Discriminatively Reconstructed Source Data for Object Recognition With Few Examples.
IEEE Trans. Image Process., 2016

Image Set Classification via Template Triplets and Context-Aware Similarity Embedding.
Proceedings of the Computer Vision - ACCV 2016, 2016

2014
Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Uneven illumination removal and image enhancement using empirical mode decomposition.
J. Electronic Imaging, 2013

Color constancy via chromaticity neutralization: From single to multiple illuminants.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Effective color correction via chromaticity adjustment and least square approximation.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Edge-preserving image decomposition using L1 fidelity with L0 gradient.
Proceedings of the SIGGRAPH Asia 2012 Technical Briefs, Singapore, November 28, 2012

Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation.
Proceedings of the Computer Vision - ACCV 2012, 2012

Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes.
Proceedings of the Computer Vision - ACCV 2012, 2012


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