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01/07/2023
Active Deep Learning Guided by Efficient Gaussian Process Surrogates
The success of active learning relies on the exploration of the underlyi...
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08/01/2022
S^2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning
Despite the recent efforts in accurate 3D annotations in hand and object...
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04/27/2022
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
Estimating the pose and shape of hands and objects under interaction fin...
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11/04/2021
Testing using Privileged Information by Adapting Features with Statistical Dependence
Given an imperfect predictor, we exploit additional features at test tim...
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07/15/2021
DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation
Synthetic data is becoming increasingly common for training computer vis...
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06/24/2021
GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes
We present an algorithm that learns a coarse 3D representation of object...
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08/12/2020
Look here! A parametric learning based approach to redirect visual attention
Across photography, marketing, and website design, being able to direct ...
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07/15/2020
Combining Task Predictors via Enhancing Joint Predictability
Predictor combination aims to improve a (target) predictor of a learning...
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04/16/2020
RGBD-Dog: Predicting Canine Pose from RGBD Sensors
The automatic extraction of animal 3D pose from images without markers i...
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02/11/2020
Task-Aware Variational Adversarial Active Learning
Deep learning has achieved remarkable performance in various tasks thank...
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01/01/2020
Generating Object Stamps
We present an algorithm to generate diverse foreground objects and compo...
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05/13/2019
Implicit Filter Sparsification In Convolutional Neural Networks
We show implicit filter level sparsity manifests in convolutional neural...
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04/10/2019
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations
We present a new predictor combination algorithm that improves a given t...
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04/08/2019
Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering
Estimating 3D hand meshes from single RGB images is challenging, due to ...
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11/29/2018
On Implicit Filter Level Sparsity in Convolutional Neural Networks
We investigate filter level sparsity that emerges in convolutional neura...
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08/13/2018
Improving Shape Deformation in Unsupervised Image-to-Image Translation
Unsupervised image-to-image translation techniques are able to map local...
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06/11/2018
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios
In bin-picking scenarios, multiple instances of an object of interest ar...
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06/06/2018
Unsupervised Attention-guided Image to Image Translation
Current unsupervised image-to-image translation techniques struggle to f...
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05/11/2018
Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation
Crucial to the success of training a depth-based 3D hand pose estimator ...
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04/11/2018
Ranking Generative Adversarial Networks: Subjective Control over Semantic Image Attributes
In this paper, we investigate the use of generative adversarial networks...
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06/12/2017
Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking
Large databases are often organized by hand-labeled metadata, or criteri...
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06/06/2017
Deep Convolutional Decision Jungle for Image Classification
We propose a novel method called deep convolutional decision jungle (CDJ...
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10/28/2016
Real-time Online Action Detection Forests using Spatio-temporal Contexts
Online action detection (OAD) is challenging since 1) robust yet computa...
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02/20/2016
Context-guided diffusion for label propagation on graphs
Existing approaches for diffusion on graphs, e.g., for label propagation...
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02/11/2016
Semi-supervised Learning with Explicit Relationship Regularization
In many learning tasks, the structure of the target space of a function ...
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02/11/2016