Publications

SHREC’17 Track Large-Scale 3D Shape Retrieval from ShapeNet Core55

SHREC’17 Track Large-Scale 3D Shape Retrieval from ShapeNet Core55

3DOR 2017 This track provides a benchmark to evaluate large-scale 3D shape retrieval based on the ShapeNet dataset.

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

arXiv 2016 We introduce the first domain adaptive semantic segmentation method, proposing an unsupervised adversarial approach to pixel prediction problems.

Automatic Triage for a Photo Series

Automatic Triage for a Photo Series

Siggraph 2016 We seek a relative quality measure within a series of photos taken of the same scene, which can be used for automatic photo triage.

Multi-Scale Context Aggregation by Dilated Convolutions

Multi-Scale Context Aggregation by Dilated Convolutions

ICLR 2016 We study dilated convolution in depth. It has become a foundamental network operation.

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

arXiv 2015 We propose to amplify human effort through a partially automated labeling scheme, leveraging deep learning with humans in the loop.

Semantic Alignment of LiDAR Data at City Scale

Semantic Alignment of LiDAR Data at City Scale

CVPR 2015 We propose an automatic algorithm for global alignment of LiDAR data collected with Google Street View cars in urban environments.

3D ShapeNets: A Deep Representation for Volumetric Shapes

3D ShapeNets: A Deep Representation for Volumetric Shapes

CVPR 2015 Oral We propose to represent a geometric 3D shape as a probability distribution of binary variables on a 3D voxel grid.

ShapeNet: An Information-Rich 3D Model Repository

ShapeNet: An Information-Rich 3D Model Repository

arXiv 2015 We present ShapeNet: a richly-annotated, large-scale repository of shapes represented by 3D CAD models of objects.

3D Reconstruction from Accidental Motion

3D Reconstruction from Accidental Motion

CVPR 2014 We have discovered that 3D reconstruction can be achieved from a single still photographic capture due to accidental motions of the photographer.

HelpingHand: Example-based Stroke Stylization

HelpingHand: Example-based Stroke Stylization

Siggraph 2012 This paper presents a data-driven approach for synthesizing the 6D hand gesture data for users of low-quality input devices.