Feng-Ju Chang

According to our database, Feng-Ju Chang authored at least 29 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Edward Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Model-Internal Slot-triggered Biasing for Domain Expansion in Neural Transducer ASR Models.

Yiting Lu, Philip Harding, Kanthashree Mysore Sathyendra, Sibo Tong, Xuandi Fu, Jing Liu, Feng-Ju Chang, Simon Wiesler, Grant P. Strimel

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition.

Saumya Y. Sahai, Jing Liu, Thejaswi Muniyappa, Kanthashree Mysore Sathyendra, Anastasios Alexandridis, Grant P. Strimel, Ross McGowan, Ariya Rastrow, Feng-Ju Chang, Athanasios Mouchtaris, Siegfried Kunzmann

Proceedings of the IEEE International Conference on Acoustics, 2023

Dialog Act Guided Contextual Adapter for Personalized Speech Recognition.

Feng-Ju Chang, Thejaswi Muniyappa, Kanthashree Mysore Sathyendra, Kai Wei, Grant P. Strimel, Ross McGowan

Proceedings of the IEEE International Conference on Acoustics, 2023

Gated Contextual Adapters For Selective Contextual Biasing In Neural Transducers.

Anastasios Alexandridis, Kanthashree Mysore Sathyendra, Grant P. Strimel, Feng-Ju Chang, Ariya Rastrow, Nathan Susanj, Athanasios Mouchtaris

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Compute Cost Amortized Transformer for Streaming ASR.

Yi Xie, Jonathan Macoskey, Martin Radfar, Feng-Ju Chang, Brian John King, Ariya Rastrow, Athanasios Mouchtaris, Grant P. Strimel

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition.

Martin Radfar, Rohit Barnwal, Rupak Vignesh Swaminathan, Feng-Ju Chang, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Contextual Adapters for Personalized Speech Recognition in Neural Transducers.

Kanthashree Mysore Sathyendra, Thejaswi Muniyappa, Feng-Ju Chang, Jing Liu, Jinru Su, Grant P. Strimel, Athanasios Mouchtaris, Siegfried Kunzmann

Proceedings of the IEEE International Conference on Acoustics, 2022

Multi-Task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding.

Xuandi Fu, Feng-Ju Chang, Martin Radfar, Kai Wei, Jing Liu, Grant P. Strimel, Kanthashree Mysore Sathyendra

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Multi-Channel Transformer Transducer for Speech Recognition.

Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Sparsification via Compressed Sensing for Automatic Speech Recognition.

Kai Zhen, Hieu Duy Nguyen, Feng-Ju Chang, Athanasios Mouchtaris, Ariya Rastrow

Proceedings of the IEEE International Conference on Acoustics, 2021

End-to-End Multi-Channel Transformer for Speech Recognition.

Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Brian John King, Siegfried Kunzmann

Proceedings of the IEEE International Conference on Acoustics, 2021

Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding.

Kai Wei, Thanh Tran, Feng-Ju Chang, Kanthashree Mysore Sathyendra, Thejaswi Muniyappa, Jing Liu, Anirudh Raju, Ross McGowan, Nathan Susanj, Ariya Rastrow, Grant P. Strimel

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Context-Aware Transformer Transducer for Speech Recognition.

Feng-Ju Chang, Jing Liu, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo, Ariya Rastrow, Siegfried Kunzmann

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2019

Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild.

Iacopo Masi, Feng-Ju Chang, Jongmoo Choi, Shai Harel, Jungyeon Kim, KangGeon Kim, Jatuporn Toy Leksut, Stephen Rawls, Yue Wu, Tal Hassner, Wael AbdAlmageed, Gérard G. Medioni, Louis-Philippe Morency, Prem Natarajan, Ram Nevatia

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Deep, Landmark-Free FAME: Face Alignment, Modeling, and Expression Estimation.

Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni

Int. J. Comput. Vis., 2019

Pose-variant 3D Facial Attribute Generation.

Feng-Ju Chang, Xiang Yu, Ram Nevatia, Manmohan Chandraker

CoRR, 2019

2018

ExpNet: Landmark-Free, Deep, 3D Facial Expressions.

Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017

FacePoseNet: Making a Case for Landmark-Free Face Alignment.

Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Local-Global Landmark Confidences for Face Recognition.

KangGeon Kim, Feng-Ju Chang, Jongmoo Choi, Louis-Philippe Morency, Ramakant Nevatia, Gérard G. Medioni

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.

Pai-Heng Hsiao, Feng-Ju Chang, Yen-Yu Lin

IEEE Trans. Image Process., 2016

Image Set Classification via Template Triplets and Context-Aware Similarity Embedding.

Feng-Ju Chang, Ram Nevatia

Proceedings of the Computer Vision - ACCV 2016, 2016

2014

Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data.

Feng-Ju Chang, Yen-Yu Lin, Kuang-Jui Hsu

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Uneven illumination removal and image enhancement using empirical mode decomposition.

Soo-Chang Pei, Yu-Zhe Hsiao, Mary Tzeng, Feng-Ju Chang

J. Electronic Imaging, 2013

Color constancy via chromaticity neutralization: From single to multiple illuminants.

Feng-Ju Chang, Soo-Chang Pei

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Effective color correction via chromaticity adjustment and least square approximation.

Feng-Ju Chang, Soo-Chang Pei

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Edge-preserving image decomposition using L1 fidelity with L0 gradient.

Chih-Tsung Shen, Feng-Ju Chang, Yi-Ping Hung, Soo-Chang Pei

Proceedings of the SIGGRAPH Asia 2012 Technical Briefs, Singapore, November 28, 2012

Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation.

Jie-Zhi Cheng, Feng-Ju Chang, Kuang-Jui Hsu, Yen-Yu Lin

Proceedings of the Computer Vision - ACCV 2012, 2012

Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes.

Feng-Ju Chang, Yen-Yu Lin, Ming-Fang Weng

Proceedings of the Computer Vision - ACCV 2012, 2012