Kevin J. Shih

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 37

Top Topics

Inductive Transfer

Image Inpainting

Fine Grained Categorization

Spatio Temporally

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Nannan Li, Kevin J. Shih, Bryan A. Plummer
Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures. ICCV (2023)
Rafael Valle, João Felipe Santos, Kevin J. Shih, Rohan Badlani, Bryan Catanzaro
High-Acoustic Fidelity Text To Speech Synthesis With Fine-Grained Control Of Speech Attributes. ICASSP (2023)
Rohan Badlani, Akshit Arora, Subhankar Ghosh, Rafael Valle, Kevin J. Shih, João Felipe Santos, Boris Ginsburg, Bryan Catanzaro
Vani: Very-Lightweight Accent-Controllable TTS for Native And Non-Native Speakers With Identity Preservation. ICASSP (2023)
Rohan Badlani, Rafael Valle, Kevin J. Shih, João Felipe Santos, Siddharth Gururani, Bryan Catanzaro
RAD-MMM: Multilingual Multiaccented Multispeaker Text To Speech. INTERSPEECH (2023)
Guilin Liu, Aysegul Dundar, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro
Partial Convolution for Padding, Inpainting, and Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Sungwon Kim, Kevin J. Shih, Rohan Badlani, João Felipe Santos, Evelina Bakhturina, Mikyas Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting. NeurIPS (2023)
Rohan Badlani, Rafael Valle, Kevin J. Shih, João Felipe Santos, Siddharth Gururani, Bryan Catanzaro
Multilingual Multiaccented Multispeaker TTS with RADTTS. CoRR (2023)
Rohan Badlani, Akshit Arora, Subhankar Ghosh, Rafael Valle, Kevin J. Shih, João Felipe Santos, Boris Ginsburg, Bryan Catanzaro
VANI: Very-lightweight Accent-controllable TTS for Native and Non-native speakers with Identity Preservation. CoRR (2023)
Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro
One TTS Alignment to Rule Them All. ICASSP (2022)
Kevin J. Shih, Rafael Valle, Rohan Badlani, João Felipe Santos, Bryan Catanzaro
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows. CoRR (2022)
Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
Revisiting Image-Language Networks for Open-Ended Phrase Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (2022)
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Nannan Li, Kevin J. Shih, Bryan A. Plummer
Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures. CoRR (2022)
Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro
One TTS Alignment To Rule Them All. CoRR (2021)
Rafael Valle, Kevin J. Shih, Ryan Prenger, Bryan Catanzaro
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis. ICLR (2021)
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. CoRR (2020)
Rafael Valle, Kevin J. Shih, Ryan Prenger, Bryan Catanzaro
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis. CoRR (2020)
Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
Unsupervised Video Interpolation Using Cycle Consistency. CoRR (2019)
Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
Unsupervised Video Interpolation Using Cycle Consistency. ICCV (2019)
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
Graphical Contrastive Losses for Scene Graph Parsing. CVPR (2019)
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
Improving Semantic Segmentation via Video Propagation and Label Relaxation. CVPR (2019)
Kevin J. Shih, Aysegul Dundar, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
Video Interpolation and Prediction with Unsupervised Landmarks. CoRR (2019)
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
Graphical Contrastive Losses for Scene Graph Generation. CoRR (2019)
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro
Image Inpainting for Irregular Holes Using Partial Convolutions. CoRR (2018)
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro
SDC-Net: Video Prediction Using Spatially-Displaced Convolution. ECCV (7) (2018)
Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal
Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge. CoRR (2018)
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro
Image Inpainting for Irregular Holes Using Partial Convolutions. ECCV (11) (2018)
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
Improving Semantic Segmentation via Video Propagation and Label Relaxation. CoRR (2018)
Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
Open-vocabulary Phrase Detection. CoRR (2018)
Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal
An Interpretable Model for Scene Graph Generation. CoRR (2018)
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro
SDCNet: Video Prediction Using Spatially-Displaced Convolution. CoRR (2018)
Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao, Bryan Catanzaro
Partial Convolution based Padding. CoRR (2018)
Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu
Learning Interpretable Spatial Operations in a Rich 3D Blocks World. AAAI (2018)
Tanmay Gupta, Kevin J. Shih, Saurabh Singh, Derek Hoiem
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks. CoRR (2017)
Tanmay Gupta, Kevin J. Shih, Saurabh Singh, Derek Hoiem
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks. ICCV (2017)
Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu
Learning Interpretable Spatial Operations in a Rich 3D Blocks World. CoRR (2017)
Kevin J. Shih, Saurabh Singh, Derek Hoiem
Where to Look: Focus Regions for Visual Question Answering. CVPR (2016)
Kevin J. Shih, Saurabh Singh, Derek Hoiem
Where To Look: Focus Regions for Visual Question Answering. CoRR (2015)
Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. CoRR (2015)
Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. BMVC (2015)
Kevin J. Shih, Ian Endres, Derek Hoiem
Learning Discriminative Collections of Part Detectors for Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37 (8) (2015)
Ian Endres, Kevin J. Shih, Johnston Jiaa, Derek Hoiem
Learning Collections of Part Models for Object Recognition. CVPR (2013)