Kevin J. Shih
12 papers · 2013–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Topic Evolution
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Trend Setter
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(66)
Top co-authors
Research topics
Computer Vision
(6)
Deep Learning
(6)
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI
(5)
Analysis
(3)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Processing
(3)
Natural Language Processing
(2)
Generation
(2)
Speech & Audio
(1)
Application Areas
(1)
Applications
(1)
Keywords
object detection
(2)
zero-shot learning
(1)
instruction following
(1)
feature learning
(1)
domain adaptation
(1)
object recognition
(1)
semantic segmentation
(1)
video prediction
(1)
visual question answering
(1)
attention mechanism
(1)
weakly supervised learning
(1)
data augmentation
(1)
multimodal learning
(1)
audio-visual learning
(1)
contrastive learning
(1)
speaker embedding
(1)
temporal alignment
(1)
generative model
(1)
diffusion model
(1)
unsupervised learning
(1)
Papers
Benchmarking Single-Factor Physical Video-to-Audio Generation
CVPR 2026
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling
CVPR 2025
Fugatto 1: Foundational Generative Audio Transformer Opus 1
ICLR 2025
RAD-MMM: Multilingual Multiaccented Multispeaker Text To Speech
Interspeech 2023
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
ICLR 2021
Graphical Contrastive Losses for Scene Graph Parsing
CVPR 2019
Improving Semantic Segmentation via Video Propagation and Label Relaxation
CVPR 2019
Unsupervised Video Interpolation Using Cycle Consistency
ICCV 2019
Image Inpainting for Irregular Holes Using Partial Convolutions
ECCV 2018
SDC-Net: Video prediction using spatially-displaced convolution
ECCV 2018
Where to Look: Focus Regions for Visual Question Answering
CVPR 2016
Learning Collections of Part Models for Object Recognition
CVPR 2013