Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes. - Feng-Ju Chang; Yen-Yu Lin; Ming-Fang Weng (ACCV (1), 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 (ACCV (1), 2012)

Edge-preserving image decomposition using L1 fidelity with L0 gradient. - Chih-Tsung Shen; Feng-Ju Chang; Yi-Ping Hung; Soo-Chang Pei (SIGGRAPH Asia Technical Briefs, 2012)

Effective color correction via chromaticity adjustment and least square approximation. - Feng-Ju Chang; Soo-Chang Pei (ICASSP, 2013)

Color constancy via chromaticity neutralization: From single to multiple illuminants. - Feng-Ju Chang; Soo-Chang Pei (ISCAS, 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)

Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data. - Feng-Ju Chang; Yen-Yu Lin; Kuang-Jui Hsu (CVPR, 2014)

Image Set Classification via Template Triplets and Context-Aware Similarity Embedding. - Feng-Ju Chang; Ram Nevatia (ACCV (5), 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)

Local-Global Landmark Confidences for Face Recognition. - KangGeon Kim; Feng-Ju Chang; Jongmoo Choi; Louis-Philippe Morency; Ramakant Nevatia; Gérard G. Medioni (FG, 2017)

FacePoseNet: Making a Case for Landmark-Free Face Alignment. - Feng-Ju Chang; Anh Tuan Tran 001; Tal Hassner; Iacopo Masi; Ram Nevatia; Gérard G. Medioni (ICCV Workshops, 2017)

ExpNet: Landmark-Free, Deep, 3D Facial Expressions. - Feng-Ju Chang; Anh Tuan Tran 001; Tal Hassner; Iacopo Masi; Ram Nevatia; Gérard G. Medioni (FG, 2018)

Pose-variant 3D Facial Attribute Generation. - Feng-Ju Chang; Xiang Yu 002; Ram Nevatia; Manmohan Chandraker (CoRR, 2019)

Deep, Landmark-Free FAME: Face Alignment, Modeling, and Expression Estimation. - Feng-Ju Chang; Anh Tuan Tran 001; Tal Hassner; Iacopo Masi; Ram Nevatia; Gérard G. Medioni (Int. J. Comput. Vis., 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 001; Tal Hassner; Wael AbdAlmageed; Gérard G. Medioni; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Context-Aware Transformer Transducer for Speech Recognition. - Feng-Ju Chang; Jing Liu; Martin Radfar; Athanasios Mouchtaris; Maurizio Omologo; Ariya Rastrow; Siegfried Kunzmann (ASRU, 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 (ASRU, 2021)

End-to-End Multi-Channel Transformer for Speech Recognition. - Feng-Ju Chang; Martin Radfar; Athanasios Mouchtaris; Brian John King; Siegfried Kunzmann (ICASSP, 2021)

Sparsification via Compressed Sensing for Automatic Speech Recognition. - Kai Zhen; Hieu Duy Nguyen; Feng-Ju Chang; Athanasios Mouchtaris; Ariya Rastrow (ICASSP, 2021)

Multi-Channel Transformer Transducer for Speech Recognition. - Feng-Ju Chang; Martin Radfar; Athanasios Mouchtaris; Maurizio Omologo (Interspeech, 2021)

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 (ICASSP, 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 (ICASSP, 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 (INTERSPEECH, 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 (INTERSPEECH, 2022)

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 (ICASSP, 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 (ICASSP, 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 (ICASSP, 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 (INTERSPEECH, 2023)

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 001; Kaiya Provost; Anuj Karpatne; Bryan Carstens; Daniel I. Rubenstein; Charles V. Stewart; Tanya Y. Berger-Wolf; et al. (ICLR, 2024)