Kevin J. Shih

48 papers A* 12A 2Misc 3Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos.
CoRR
Arushi Goel, Sreyan Ghosh, Vatsal Agarwal, Nishit Anand, Kaousheik Jayakumar, Lasha Koroshinadze, Yao Xu, Katie Lyons, James Case, Karan Sapra, Kevin J. Shih, Siddharth Gururani, Abhinav Shrivastava, Ramani Duraiswami, Dinesh Manocha, Andrew Tao, Bryan Catanzaro, Mohammad Shoeybi, Wei Ping
2025 J jnl
A2SB: Audio-to-Audio Schrodinger Bridges.
CoRR
Zhifeng Kong, Kevin J. Shih, Weili Nie, Arash Vahdat, Sang-gil Lee, João Felipe Santos, Ante Jukic, Rafael Valle, Bryan Catanzaro
2025 A* conf
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling.
CVPR
Nannan Li, Kevin J. Shih, Bryan A. Plummer
2025 J jnl
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling.
CoRR
Nannan Li, Kevin J. Shih, Bryan A. Plummer
2025 A* conf
Fugatto 1: Foundational Generative Audio Transformer Opus 1.
ICLR
Rafael Valle, Rohan Badlani, Zhifeng Kong, Sang-gil Lee, Arushi Goel, Sungwon Kim, João Felipe Santos, Shuqi Dai, Siddharth Gururani, Aya Aljafari, Alexander H. Liu, Kevin J. Shih, Ryan Prenger, Wei Ping, Chao-Han Huck Yang, Bryan Catanzaro
2023 A* conf
Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures.
ICCV
Nannan Li, Kevin J. Shih, Bryan A. Plummer
2023 Misc conf
High-Acoustic Fidelity Text To Speech Synthesis With Fine-Grained Control Of Speech Attributes.
ICASSP
Rafael Valle, João Felipe Santos, Kevin J. Shih, Rohan Badlani, Bryan Catanzaro
2023 J jnl
Multilingual Multiaccented Multispeaker TTS with RADTTS.
CoRR
Rohan Badlani, Rafael Valle, Kevin J. Shih, João Felipe Santos, Siddharth Gururani, Bryan Catanzaro
2023 A* conf
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting.
NeurIPS
Sungwon Kim, Kevin J. Shih, Rohan Badlani, João Felipe Santos, Evelina Bakhturina, Mikyas T. Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro
2023 J jnl
Partial Convolution for Padding, Inpainting, and Image Synthesis.
IEEE Trans. Pattern Anal. Mach. Intell.
Guilin Liu, Aysegul Dundar, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro
2023 A conf
RAD-MMM: Multilingual Multiaccented Multispeaker Text To Speech.
INTERSPEECH
Rohan Badlani, Rafael Valle, Kevin J. Shih, João Felipe Santos, Siddharth Gururani, Bryan Catanzaro
2023 J jnl
VANI: Very-lightweight Accent-controllable TTS for Native and Non-native speakers with Identity Preservation.
CoRR
Rohan Badlani, Akshit Arora, Subhankar Ghosh, Rafael Valle, Kevin J. Shih, João Felipe Santos, Boris Ginsburg, Bryan Catanzaro
2023 Misc conf
Vani: Very-Lightweight Accent-Controllable TTS for Native And Non-Native Speakers With Identity Preservation.
ICASSP
Rohan Badlani, Akshit Arora, Subhankar Ghosh, Rafael Valle, Kevin J. Shih, João Felipe Santos, Boris Ginsburg, Bryan Catanzaro
2022 J jnl
Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures.
CoRR
Nannan Li, Kevin J. Shih, Bryan A. Plummer
2022 J jnl
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows.
CoRR
Kevin J. Shih, Rafael Valle, Rohan Badlani, João Felipe Santos, Bryan Catanzaro
2022 Misc conf
One TTS Alignment to Rule Them All.
ICASSP
Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro
2022 J jnl
Revisiting Image-Language Networks for Open-Ended Phrase Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
2022 J jnl
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos.
IEEE Trans. Pattern Anal. Mach. Intell.
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
2021 A* conf
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis.
ICLR
Rafael Valle, Kevin J. Shih, Ryan Prenger, Bryan Catanzaro
2021 J jnl
One TTS Alignment To Rule Them All.
CoRR
Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro
2020 J jnl
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis.
CoRR
Rafael Valle, Kevin J. Shih, Ryan Prenger, Bryan Catanzaro
2020 J jnl
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos.
CoRR
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
2019 J jnl
Graphical Contrastive Losses for Scene Graph Generation.
CoRR
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
2019 A* conf
Graphical Contrastive Losses for Scene Graph Parsing.
CVPR
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
2019 A* conf
Improving Semantic Segmentation via Video Propagation and Label Relaxation.
CVPR
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
2019 A* conf
Unsupervised Video Interpolation Using Cycle Consistency.
ICCV
Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
2019 J jnl
Unsupervised Video Interpolation Using Cycle Consistency.
CoRR
Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
2019 J jnl
Video Interpolation and Prediction with Unsupervised Landmarks.
CoRR
Kevin J. Shih, Aysegul Dundar, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
2018 J jnl
An Interpretable Model for Scene Graph Generation.
CoRR
Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal
2018 — conf
Image Inpainting for Irregular Holes Using Partial Convolutions.
ECCV (11)
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro
2018 J jnl
Image Inpainting for Irregular Holes Using Partial Convolutions.
CoRR
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro
2018 J jnl
Improving Semantic Segmentation via Video Propagation and Label Relaxation.
CoRR
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
2018 J jnl
Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge.
CoRR
Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal
2018 A* conf
Learning Interpretable Spatial Operations in a Rich 3D Blocks World.
AAAI
Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu
2018 J jnl
Open-vocabulary Phrase Detection.
CoRR
Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
2018 J jnl
Partial Convolution based Padding.
CoRR
Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao, Bryan Catanzaro
2018 — conf
SDC-Net: Video Prediction Using Spatially-Displaced Convolution.
ECCV (7)
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro
2018 J jnl
SDCNet: Video Prediction Using Spatially-Displaced Convolution.
CoRR
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro
2017 A* conf
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks.
ICCV
Tanmay Gupta, Kevin J. Shih, Saurabh Singh, Derek Hoiem
2017 J jnl
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks.
CoRR
Tanmay Gupta, Kevin J. Shih, Saurabh Singh, Derek Hoiem
2017 J jnl
Learning Interpretable Spatial Operations in a Rich 3D Blocks World.
CoRR
Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu
2017 — —
Learning visual tasks with selective attention
Kevin J. Shih
2016 A* conf
Where to Look: Focus Regions for Visual Question Answering.
CVPR
Kevin J. Shih, Saurabh Singh, Derek Hoiem
2015 J jnl
Learning Discriminative Collections of Part Detectors for Object Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Kevin J. Shih, Ian Endres, Derek Hoiem
2015 A conf
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization.
BMVC
Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem
2015 J jnl
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization.
CoRR
Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem
2015 J jnl
Where To Look: Focus Regions for Visual Question Answering.
CoRR
Kevin J. Shih, Saurabh Singh, Derek Hoiem
2013 A* conf
Learning Collections of Part Models for Object Recognition.
CVPR
Ian Endres, Kevin J. Shih, Johnston Jiaa, Derek Hoiem