Learning Collections of Part Models for Object Recognition. - Ian Endres; Kevin J. Shih; Johnston Jiaa; Derek Hoiem (CVPR, 2013)

Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. - Kevin J. Shih; Arun Mallya; Saurabh Singh 005; Derek Hoiem (BMVC, 2015)

Learning Discriminative Collections of Part Detectors for Object Recognition. - Kevin J. Shih; Ian Endres; Derek Hoiem (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Where to Look: Focus Regions for Visual Question Answering. - Kevin J. Shih; Saurabh Singh 005; Derek Hoiem (CVPR, 2016)

Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks. - Tanmay Gupta; Kevin J. Shih; Saurabh Singh 005; Derek Hoiem (ICCV, 2017)

Learning visual tasks with selective attention - Kevin J. Shih (2017)

Learning Interpretable Spatial Operations in a Rich 3D Blocks World. - Yonatan Bisk; Kevin J. Shih; Yejin Choi 001; Daniel Marcu (AAAI, 2018)

Image Inpainting for Irregular Holes Using Partial Convolutions. - Guilin Liu; Fitsum A. Reda; Kevin J. Shih; Ting-Chun Wang; Andrew Tao; Bryan Catanzaro (ECCV (11), 2018)

SDC-Net: Video Prediction Using Spatially-Displaced Convolution. - Fitsum A. Reda; Guilin Liu; Kevin J. Shih; Robert Kirby 001; Jon Barker; David Tarjan; Andrew Tao; Bryan Catanzaro (ECCV (7), 2018)

Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge. - Ji Zhang; Kevin J. Shih; Andrew Tao; Bryan Catanzaro; Ahmed Elgammal (CoRR, 2018)

SDCNet: Video Prediction Using Spatially-Displaced Convolution. - Fitsum A. Reda; Guilin Liu; Kevin J. Shih; Robert Kirby 001; Jon Barker; David Tarjan; Andrew Tao; Bryan Catanzaro (CoRR, 2018)

Open-vocabulary Phrase Detection. - Bryan A. Plummer; Kevin J. Shih; Yichen Li; Ke Xu; Svetlana Lazebnik; Stan Sclaroff; Kate Saenko (CoRR, 2018)

An Interpretable Model for Scene Graph Generation. - Ji Zhang; Kevin J. Shih; Andrew Tao; Bryan Catanzaro; Ahmed Elgammal (CoRR, 2018)

Partial Convolution based Padding. - Guilin Liu; Kevin J. Shih; Ting-Chun Wang; Fitsum A. Reda; Karan Sapra; Zhiding Yu; Andrew Tao; Bryan Catanzaro (CoRR, 2018)

Improving Semantic Segmentation via Video Propagation and Label Relaxation. - Yi Zhu 001; Karan Sapra; Fitsum A. Reda; Kevin J. Shih; Shawn D. Newsam; Andrew Tao; Bryan Catanzaro (CVPR, 2019)

Graphical Contrastive Losses for Scene Graph Parsing. - Ji Zhang; Kevin J. Shih; Ahmed Elgammal; Andrew Tao; Bryan Catanzaro (CVPR, 2019)

Unsupervised Video Interpolation Using Cycle Consistency. - Fitsum A. Reda; Deqing Sun; Aysegul Dundar; Mohammad Shoeybi; Guilin Liu; Kevin J. Shih; Andrew Tao; Jan Kautz; Bryan Catanzaro (ICCV, 2019)

Graphical Contrastive Losses for Scene Graph Generation. - Ji Zhang; Kevin J. Shih; Ahmed Elgammal; Andrew Tao; Bryan Catanzaro (CoRR, 2019)

Video Interpolation and Prediction with Unsupervised Landmarks. - Kevin J. Shih; Aysegul Dundar; Animesh Garg; Robert Pottorf; Andrew Tao; Bryan Catanzaro (CoRR, 2019)

Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis. - Rafael Valle; Kevin J. Shih; Ryan Prenger; Bryan Catanzaro (ICLR, 2021)

One TTS Alignment to Rule Them All. - Rohan Badlani; Adrian Lancucki; Kevin J. Shih; Rafael Valle; Wei Ping; Bryan Catanzaro (ICASSP, 2022)

Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows. - Kevin J. Shih; Rafael Valle; Rohan Badlani; João Felipe Santos; Bryan Catanzaro (CoRR, 2022)

Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. - Aysegul Dundar; Kevin J. Shih; Animesh Garg; Robert Pottorf; Andrew Tao; Bryan Catanzaro (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Revisiting Image-Language Networks for Open-Ended Phrase Detection. - Bryan A. Plummer; Kevin J. Shih; Yichen Li; Ke Xu; Svetlana Lazebnik; Stan Sclaroff; Kate Saenko (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Vani: Very-Lightweight Accent-Controllable TTS for Native And Non-Native Speakers With Identity Preservation. - Rohan Badlani; Akshit Arora; Subhankar Ghosh; Rafael Valle; Kevin J. Shih; João Felipe Santos; Boris Ginsburg; Bryan Catanzaro (ICASSP, 2023)

High-Acoustic Fidelity Text To Speech Synthesis With Fine-Grained Control Of Speech Attributes. - Rafael Valle; João Felipe Santos; Kevin J. Shih; Rohan Badlani; Bryan Catanzaro (ICASSP, 2023)

Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures. - Nannan Li 004; Kevin J. Shih; Bryan A. Plummer (ICCV, 2023)

RAD-MMM: Multilingual Multiaccented Multispeaker Text To Speech. - Rohan Badlani; Rafael Valle; Kevin J. Shih; João Felipe Santos; Siddharth Gururani; Bryan Catanzaro (INTERSPEECH, 2023)

P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting. - Sungwon Kim 001; Kevin J. Shih; Rohan Badlani; João Felipe Santos; Evelina Bakhturina; Mikyas T. Desta; Rafael Valle; Sungroh Yoon; Bryan Catanzaro (NeurIPS, 2023)

Multilingual Multiaccented Multispeaker TTS with RADTTS. - Rohan Badlani; Rafael Valle; Kevin J. Shih; João Felipe Santos; Siddharth Gururani; Bryan Catanzaro (CoRR, 2023)

Partial Convolution for Padding, Inpainting, and Image Synthesis. - Guilin Liu; Aysegul Dundar; Kevin J. Shih; Ting-Chun Wang; Fitsum A. Reda; Karan Sapra; Zhiding Yu; Xiaodong Yang 001; Andrew Tao; Bryan Catanzaro (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling. - Nannan Li 004; Kevin J. Shih; Bryan A. Plummer (CVPR, 2025)

Fugatto 1: Foundational Generative Audio Transformer Opus 1. - Rafael Valle; Rohan Badlani; Zhifeng Kong; Sang-gil Lee; Arushi Goel; Sungwon Kim 001; João Felipe Santos; Shuqi Dai; Siddharth Gururani; Aya Aljafari; Alexander H. Liu; Kevin J. Shih; et al. (ICLR, 2025)

A2SB: Audio-to-Audio Schrodinger Bridges. - Zhifeng Kong; Kevin J. Shih; Weili Nie; Arash Vahdat; Sang-gil Lee; João Felipe Santos; Ante Jukic; Rafael Valle; Bryan Catanzaro (CoRR, 2025)