Publications (46)
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Saining Xie, Chen Sun, Jonathan Huang +2
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
Chen Sun, Per Karlsson, Jiajun Wu +2
Efficient inference in occlusion-aware generative models of images
Jonathan Huang, Kevin Murphy
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources
Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy +5
Actor-Centric Relation Network
Chen Sun, Abhinav Shrivastava, Carl Vondrick +3
Unsupervised Discovery of Parts, Structure, and Dynamics
Zhenjia Xu, Zhijian Liu, Chen Sun +4
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos +2
Modeling Discrete Interventional Data using Directed Cyclic Graphical Models
Mark Schmidt, Kevin Murphy
Relational Action Forecasting
Chen Sun, Abhinav Shrivastava, Carl Vondrick +3
Group Sparse Priors for Covariance Estimation
Benjamin Marlin, Mark Schmidt, Kevin Murphy
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction
Steven Hickson, Karthik Raveendran, Alireza Fathi +2
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision
Jonathan Malmaud, Jonathan Huang, Vivek Rathod +3
Probabilistic Label Relation Graphs with Ising Models
Nan Ding, Jia Deng, Kevin Murphy +1
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying, Aaron Klein, Esteban Real +3
Composing Text and Image for Image Retrieval - An Empirical Odyssey
Nam Vo, Lu Jiang, Chen Sun +4
Context-aware Captions from Context-agnostic Supervision
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy +2
Bayesian Dark Knowledge
Anoop Korattikara, Vivek Rathod, Kevin Murphy +1
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou, Liang-Chieh Chen, Kevin Murphy +1
TimeMachine: Timeline Generation for Knowledge-Base Entities
Tim Althoff, Xin Luna Dong, Kevin Murphy +3
Generative Models of Visually Grounded Imagination
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang +1
Progressive Neural Architecture Search
Chenxi Liu, Barret Zoph, Maxim Neumann +7
Fixing a Broken ELBO
Alexander A. Alemi, Ben Poole, Ian Fischer +3
Improved Image Captioning via Policy Gradient optimization of SPIDEr
Siqi Liu, Zhenhai Zhu, Ning Ye +2
Attention-based Extraction of Structured Information from Street View Imagery
Zbigniew Wojna, Alex Gorban, Dar-Shyang Lee +4
Nonlinear functional mapping of the human brain
Nicholas Allgaier, Tobias Banaschewski, Gareth Barker +27
Tracking Emerges by Colorizing Videos
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi +2
Learning the Structure of Dynamic Probabilistic Networks
Nir Friedman, Kevin Murphy, Stuart Russell
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
Amélie Royer, Konstantinos Bousmalis, Stephan Gouws +4
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Arnaud Doucet, Nando de Freitas, Kevin Murphy +1
Towards Accurate Multi-person Pose Estimation in the Wild
George Papandreou, Tyler Zhu, Nori Kanazawa +4
From Data Fusion to Knowledge Fusion
Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz +4
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
Liang-Chieh Chen, Jonathan T. Barron, George Papandreou +2
Bayesian structure learning using dynamic programming and MCMC
Daniel Eaton, Kevin Murphy
The Factored Frontier Algorithm for Approximate Inference in DBNs
Kevin Murphy, Yair Weiss
Detecting events and key actors in multi-person videos
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija +3
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang, Vivek Rathod, Chen Sun +8
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
George Papandreou, Tyler Zhu, Liang-Chieh Chen +3
Loopy Belief Propagation for Approximate Inference: An Empirical Study
Kevin Murphy, Yair Weiss, Michael I. Jordan
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos +2
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (2012)
Nando de Freitas, Kevin Murphy
Generation and Comprehension of Unambiguous Object Descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev +3
PixColor: Pixel Recursive Colorization
Sergio Guadarrama, Ryan Dahl, David Bieber +3
Deep Probabilistic Programming
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous +3
A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables
Kevin Murphy
Deep Metric Learning via Facility Location
Hyun Oh Song, Stefanie Jegelka, Vivek Rathod +1
A Review of Relational Machine Learning for Knowledge Graphs
Maximilian Nickel, Kevin Murphy, Volker Tresp +1