Feng-Ju Chang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 36

Top Topics

Language Understanding

Speech Recognition

Compressed Sensing

Image Set Classification

Top Venues

Publications

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
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. ICLR (2024)
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
Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition. ICASSP (2023)
Feng-Ju Chang, Thejaswi Muniyappa, Kanthashree Mysore Sathyendra, Kai Wei, Grant P. Strimel, Ross McGowan
Dialog Act Guided Contextual Adapter for Personalized Speech Recognition. ICASSP (2023)
Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. CoRR (2023)
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
Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition. CoRR (2023)
Feng-Ju Chang, Thejaswi Muniyappa, Kanthashree Mysore Sathyendra, Kai Wei, Grant P. Strimel, Ross McGowan
Dialog act guided contextual adapter for personalized speech recognition. CoRR (2023)
Yiting Lu, Philip Harding, Kanthashree Mysore Sathyendra, Sibo Tong, Xuandi Fu, Jing Liu, Feng-Ju Chang, Simon Wiesler, Grant P. Strimel
Model-Internal Slot-triggered Biasing for Domain Expansion in Neural Transducer ASR Models. INTERSPEECH (2023)
Anastasios Alexandridis, Kanthashree Mysore Sathyendra, Grant P. Strimel, Feng-Ju Chang, Ariya Rastrow, Nathan Susanj, Athanasios Mouchtaris
Gated Contextual Adapters For Selective Contextual Biasing In Neural Transducers. ICASSP (2023)
Martin Radfar, Rohit Barnwal, Rupak Vignesh Swaminathan, Feng-Ju Chang, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris
ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition. INTERSPEECH (2022)
Xuandi Fu, Feng-Ju Chang, Martin Radfar, Kai Wei, Jing Liu, Grant P. Strimel, Kanthashree Mysore Sathyendra
Multi-Task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding. ICASSP (2022)
Yi Xie, Jonathan Macoskey, Martin Radfar, Feng-Ju Chang, Brian King, Ariya Rastrow, Athanasios Mouchtaris, Grant P. Strimel
Compute Cost Amortized Transformer for Streaming ASR. CoRR (2022)
Kanthashree Mysore Sathyendra, Thejaswi Muniyappa, Feng-Ju Chang, Jing Liu, Jinru Su, Grant P. Strimel, Athanasios Mouchtaris, Siegfried Kunzmann
Contextual Adapters for Personalized Speech Recognition in Neural Transducers. CoRR (2022)
Yi Xie, Jonathan Macoskey, Martin Radfar, Feng-Ju Chang, Brian King, Ariya Rastrow, Athanasios Mouchtaris, Grant P. Strimel
Compute Cost Amortized Transformer for Streaming ASR. INTERSPEECH (2022)
Kanthashree Mysore Sathyendra, Thejaswi Muniyappa, Feng-Ju Chang, Jing Liu, Jinru Su, Grant P. Strimel, Athanasios Mouchtaris, Siegfried Kunzmann
Contextual Adapters for Personalized Speech Recognition in Neural Transducers. ICASSP (2022)
Martin Radfar, Rohit Barnwal, Rupak Vignesh Swaminathan, Feng-Ju Chang, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris
ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition. CoRR (2022)
Xuandi Fu, Feng-Ju Chang, Martin Radfar, Kai Wei, Jing Liu, Grant P. Strimel, Kanthashree Mysore Sathyendra
Multi-task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding. CoRR (2022)
Feng-Ju Chang, Jing Liu, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo, Ariya Rastrow, Siegfried Kunzmann
Context-Aware Transformer Transducer for Speech Recognition. CoRR (2021)
Kai Zhen, Hieu Duy Nguyen, Feng-Ju Chang, Athanasios Mouchtaris, Ariya Rastrow
Sparsification via Compressed Sensing for Automatic Speech Recognition. ICASSP (2021)
Kai Zhen, Hieu Duy Nguyen, Feng-Ju Chang, Athanasios Mouchtaris, Ariya Rastrow
Sparsification via Compressed Sensing for Automatic Speech Recognition. CoRR (2021)
Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Brian King, Siegfried Kunzmann
End-to-End Multi-Channel Transformer for Speech Recognition. ICASSP (2021)
Feng-Ju Chang, Jing Liu, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo, Ariya Rastrow, Siegfried Kunzmann
Context-Aware Transformer Transducer for Speech Recognition. ASRU (2021)
Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Brian King, Siegfried Kunzmann
End-to-End Multi-Channel Transformer for Speech Recognition. CoRR (2021)
Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo
Multi-Channel Transformer Transducer for Speech Recognition. Interspeech (2021)
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
Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding. CoRR (2021)
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
Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding. ASRU (2021)
Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo
Multi-Channel Transformer Transducer for Speech Recognition. CoRR (2021)
Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni
Deep, Landmark-Free FAME: Face Alignment, Modeling, and Expression Estimation. Int. J. Comput. Vis. 127 (6-7) (2019)
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
Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 41 (2) (2019)
Feng-Ju Chang, Xiang Yu, Ram Nevatia, Manmohan Chandraker
Pose-variant 3D Facial Attribute Generation. CoRR (2019)
Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni
ExpNet: Landmark-Free, Deep, 3D Facial Expressions. CoRR (2018)
Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni
ExpNet: Landmark-Free, Deep, 3D Facial Expressions. FG (2018)
Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni
FacePoseNet: Making a Case for Landmark-Free Face Alignment. ICCV Workshops (2017)
KangGeon Kim, Feng-Ju Chang, Jongmoo Choi, Louis-Philippe Morency, Ramakant Nevatia, Gérard G. Medioni
Local-Global Landmark Confidences for Face Recognition. FG (2017)
Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni
FacePoseNet: Making a Case for Landmark-Free Face Alignment. CoRR (2017)
Feng-Ju Chang, Ram Nevatia
Image Set Classification via Template Triplets and Context-Aware Similarity Embedding. ACCV (5) (2016)
Pai-Heng Hsiao, Feng-Ju Chang, Yen-Yu Lin
Learning Discriminatively Reconstructed Source Data for Object Recognition With Few Examples. IEEE Trans. Image Process. 25 (8) (2016)
Feng-Ju Chang, Yen-Yu Lin, Kuang-Jui Hsu
Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data. CVPR (2014)
Feng-Ju Chang, Soo-Chang Pei
Effective color correction via chromaticity adjustment and least square approximation. ICASSP (2013)
Feng-Ju Chang, Soo-Chang Pei
Color constancy via chromaticity neutralization: From single to multiple illuminants. ISCAS (2013)
Soo-Chang Pei, Yu-Zhe Hsiao, Mary Tzeng, Feng-Ju Chang
Uneven illumination removal and image enhancement using empirical mode decomposition. J. Electronic Imaging 22 (4) (2013)
Jie-Zhi Cheng, Feng-Ju Chang, Kuang-Jui Hsu, Yen-Yu Lin
Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation. ACCV (1) (2012)
Chih-Tsung Shen, Feng-Ju Chang, Yi-Ping Hung, Soo-Chang Pei
Edge-preserving image decomposition using L1 fidelity with L0 gradient. SIGGRAPH Asia Technical Briefs (2012)
Feng-Ju Chang, Yen-Yu Lin, Ming-Fang Weng
Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes. ACCV (1) (2012)