Recent Publications

Deep Layer Aggregation

Deep Layer Aggregation

CVPR 2018 Oral We augment standard architectures with deeper aggregation to better fuse information across layers.

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Interactive 3D Modeling with a Generative Adversarial Network

Interactive 3D Modeling with a Generative Adversarial Network

3DV 2017 We propose using a generative adversarial network (GAN) to assist a novice user in designing real-world shapes with a simple interface.

Dilated Residual Networks

Dilated Residual Networks

CVPR 2017 We show that dilated residual networks (DRNs) outperform their non-dilated counterparts in image classification without increasing the model’s depth or complexity.

End-to-end Learning of Driving Models from Large-scale Video Datasets

End-to-end Learning of Driving Models from Large-scale Video Datasets

CVPR 2017 Oral We develop an end-to-end trainable architecture for learning to predict a distribution over future vehicle egomotion from instantaneous monocular camera observations and previous vehicle state.

Scribbler: Controlling Deep Image Synthesis with Sketch and Color

Scribbler: Controlling Deep Image Synthesis with Sketch and Color

CVPR 2017 We propose a deep adversarial image synthesis architecture that is conditioned on sketched boundaries and sparse color strokes to generate realistic images.

Semantic Scene Completion from a Single Depth Image

Semantic Scene Completion from a Single Depth Image

CVPR 2017 Oral Our network uses a dilation-based 3D context module to efficiently expand the receptive field and enable 3D context learning.

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.