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2020 – today
- 2024
[c24]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- 2023
- [c23]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: 1-5 - [c22]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: 1-5 - [c21]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: 1-5 - [c20]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: 1324-1328 - [i15]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 abs/2303.17799 (2023) - [i14]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 abs/2304.01905 (2023) - [i13]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 abs/2311.04157 (2023) - 2022
- [c19]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: 7507-7511 - [c18]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: 8537-8541 - [c17]Yi Xie, Jonathan Macoskey, Martin Radfar, Feng-Ju Chang, Brian John King, Ariya Rastrow, Athanasios Mouchtaris, Grant P. Strimel:
Compute Cost Amortized Transformer for Streaming ASR. INTERSPEECH 2022: 3043-3047 - [c16]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: 4431-4435 - [i12]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 abs/2204.00558 (2022) - [i11]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 abs/2205.13660 (2022) - [i10]Yi Xie, Jonathan Macoskey, Martin Radfar, Feng-Ju Chang, Brian John King, Ariya Rastrow, Athanasios Mouchtaris, Grant P. Strimel:
Compute Cost Amortized Transformer for Streaming ASR. CoRR abs/2207.02393 (2022) - [i9]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 abs/2209.14868 (2022) - 2021
- [c15]Feng-Ju Chang, Jing Liu, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo, Ariya Rastrow, Siegfried Kunzmann:
Context-Aware Transformer Transducer for Speech Recognition. ASRU 2021: 503-510 - [c14]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: 837-844 - [c13]Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Brian John King, Siegfried Kunzmann:
End-to-End Multi-Channel Transformer for Speech Recognition. ICASSP 2021: 5884-5888 - [c12]Kai Zhen, Hieu Duy Nguyen, Feng-Ju Chang, Athanasios Mouchtaris, Ariya Rastrow:
Sparsification via Compressed Sensing for Automatic Speech Recognition. ICASSP 2021: 6009-6013 - [c11]Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo:
Multi-Channel Transformer Transducer for Speech Recognition. Interspeech 2021: 296-300 - [i8]Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Brian John King, Siegfried Kunzmann:
End-to-End Multi-Channel Transformer for Speech Recognition. CoRR abs/2102.03951 (2021) - [i7]Kai Zhen, Hieu Duy Nguyen, Feng-Ju Chang, Athanasios Mouchtaris, Ariya Rastrow:
Sparsification via Compressed Sensing for Automatic Speech Recognition. CoRR abs/2102.04932 (2021) - [i6]Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo:
Multi-Channel Transformer Transducer for Speech Recognition. CoRR abs/2108.12953 (2021) - [i5]Feng-Ju Chang, Jing Liu, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo, Ariya Rastrow, Siegfried Kunzmann:
Context-Aware Transformer Transducer for Speech Recognition. CoRR abs/2111.03250 (2021) - [i4]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 abs/2112.06743 (2021)
2010 – 2019
- 2019
- [j4]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): 930-956 (2019) - [j3]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): 379-393 (2019) - [i3]Feng-Ju Chang, Xiang Yu, Ram Nevatia, Manmohan Chandraker:
Pose-variant 3D Facial Attribute Generation. CoRR abs/1907.10202 (2019) - 2018
- [c10]Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni:
ExpNet: Landmark-Free, Deep, 3D Facial Expressions. FG 2018: 122-129 - [i2]Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni:
ExpNet: Landmark-Free, Deep, 3D Facial Expressions. CoRR abs/1802.00542 (2018) - 2017
- [c9]KangGeon Kim, Feng-Ju Chang, Jongmoo Choi, Louis-Philippe Morency, Ramakant Nevatia, Gérard G. Medioni:
Local-Global Landmark Confidences for Face Recognition. FG 2017: 666-672 - [c8]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: 1599-1608 - [i1]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 abs/1708.07517 (2017) - 2016
- [j2]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): 3518-3532 (2016) - [c7]Feng-Ju Chang, Ram Nevatia:
Image Set Classification via Template Triplets and Context-Aware Similarity Embedding. ACCV (5) 2016: 231-247 - 2014
- [c6]Feng-Ju Chang, Yen-Yu Lin, Kuang-Jui Hsu:
Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data. CVPR 2014: 360-367 - 2013
- [j1]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): 043037 (2013) - [c5]Feng-Ju Chang, Soo-Chang Pei:
Effective color correction via chromaticity adjustment and least square approximation. ICASSP 2013: 1598-1602 - [c4]Feng-Ju Chang, Soo-Chang Pei:
Color constancy via chromaticity neutralization: From single to multiple illuminants. ISCAS 2013: 2808-2811 - 2012
- [c3]Feng-Ju Chang, Yen-Yu Lin, Ming-Fang Weng:
Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes. ACCV (1) 2012: 16-30 - [c2]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: 730-744 - [c1]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: 6:1-6:4
Coauthor Index
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