Fuxin Li

According to our database1, Fuxin Li authored at least 64 papers between 2007 and 2019.

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Bibliography

2019
Counterfactual States for Atari Agents via Generative Deep Learning.
CoRR, 2019

Topology-Preserving Deep Image Segmentation.
CoRR, 2019

Visualizing Deep Networks by Optimizing with Integrated Gradients.
CoRR, 2019

Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression.
CoRR, 2019

HyperGAN: A Generative Model for Diverse, Performant Neural Networks.
CoRR, 2019

Interactive Naming for Explaining Deep Neural Networks: A Formative Study.
Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

HyperGAN: A Generative Model for Diverse, Performant Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data.
TKDD, 2018

Interactive Naming for Explaining Deep Neural Networks: A Formative Study.
CoRR, 2018

PointConv: Deep Convolutional Networks on 3D Point Clouds.
CoRR, 2018

Purely Geometric Scene Association and Retrieval - A Case for Macro Scale 3D Geometry.
CoRR, 2018

Unifying Bilateral Filtering and Adversarial Training for Robust Neural Networks.
CoRR, 2018

Real-Time Underwater 3D Reconstruction Using Global Context and Active Labeling.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Open Set Learning with Counterfactual Images.
Proceedings of the Computer Vision - ECCV 2018, 2018

Multi-object Tracking with Neural Gating Using Bilinear LSTM.
Proceedings of the Computer Vision - ECCV 2018, 2018

Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Embedding Deep Networks into Visual Explanations.
CoRR, 2017

Joint Spatio-Temporal Boundary Detection and Boundary Flow Prediction with a Fully Convolutional Siamese Network.
CoRR, 2017

Filter shaping for Convolutional Neural Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Ranking video segments with LSTM and determinantal point processes.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Continuous-Time Hidden Markov Models for Event Data.
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016
A Continuous Optimization Approach for Efficient and Accurate Scene Flow.
CoRR, 2016

Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics.
CoRR, 2016

A Continuous Optimization Approach for Efficient and Accurate Scene Flow.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets.
IEEE Trans. Knowl. Data Eng., 2015

Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Multiple Hypothesis Tracking Revisited.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Robust video segment proposals with painless occlusion handling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
GASP : Geometric Association with Surface Patches.
CoRR, 2014

Joint Semantic Segmentation and 3D Reconstruction from Monocular Video.
Proceedings of the Computer Vision - ECCV 2014, 2014

First International Workshop on Video Segmentation - Panel Discussion.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

GASP: Geometric Association with Surface Patches.
Proceedings of the 2nd International Conference on 3D Vision, 2014

2013
The Manifold of Human Emotions
Proceedings of the 1st International Conference on Learning Representations, 2013

Learning multiple-question decision trees for cold-start recommendation.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

A Comparative Study of Social Media and Traditional Polling in the Egyptian Uprising of 2011.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Learning stable pushing locations.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013

Video Segmentation by Tracking Many Figure-Ground Segments.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Digging into Human Rights Violations: phrase mining and trigram visualization.
Proceedings of the Digital Humanities 2013, 2013

Composite Statistical Inference for Semantic Segmentation.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Adaptive co-training SVM for sentiment classification on tweets.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Digging into human rights violations: Data modelling and collective memory.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

Beyond Sentiment: The Manifold of Human Emotions.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Object Recognition by Sequential Figure-Ground Ranking.
International Journal of Computer Vision, 2012

Chebyshev Approximations to the Histogram χ2 Kernel
CoRR, 2012

Learning Random Kernel Approximations for Object Recognition
CoRR, 2012

Beyond Sentiment: The Manifold of Human Emotions
CoRR, 2012

Fourier Kernel Learning.
Proceedings of the Computer Vision - ECCV 2012, 2012

Chebyshev approximations to the histogram χ2 kernel.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A Visual Analytics Approach for Protein Disorder Prediction.
Proceedings of the Expanding the Frontiers of Visual Analytics and Visualization, 2012

2011
Latent structured models for human pose estimation.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
The Feature Selection Path in Kernel Methods.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Convex Multiple-Instance Learning by Estimating Likelihood Ratio.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Random Fourier Approximations for Skewed Multiplicative Histogram Kernels.
Proceedings of the Pattern Recognition, 2010

Object recognition as ranking holistic figure-ground hypotheses.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
A closed-form reduction of multi-class cost-sensitive learning to weighted multi-class learning.
Pattern Recognition, 2009

Kernel Learning by Unconstrained Optimization.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2008
Ranking with decision tree.
Knowl. Inf. Syst., 2008

Exploiting external knowledge sources to improve kernel-based Word Sense Disambiguation.
Proceedings of the 4th International Conference on Natural Language Processing and Knowledge Engineering, 2008

Path Algorithms for One-Class SVM.
Proceedings of the Advances in Neural Networks, 2008

2007
PKU: Combining Supervised Classifiers with Features Selection.
Proceedings of the 4th International Workshop on Semantic Evaluations, 2007

A transductive framework of distance metric learning by spectral dimensionality reduction.
Proceedings of the Machine Learning, 2007


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