Publications

Deep Object-Centric Policies for Autonomous Driving

Deep Object-Centric Policies for Autonomous Driving

ICRA 2019 We show that object-centric models outperform object-agnostic methods in scenes with other vehicles and pedestrians.

SkipNet: Learning Dynamic Routing in Convolutional Networks

SkipNet: Learning Dynamic Routing in Convolutional Networks

ECCV 2018 We introduce SkipNet, a modified residual network, that uses a gating network to selectively skip convolutional blocks based on the activations of the previous layer.

Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation

Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation

ECCV 2018 We aim to characterize adversarial examples based on spatial context information in semantic segmentation.

IDK Cascades: Fast Deep Learning by Learning not to Overthink

IDK Cascades: Fast Deep Learning by Learning not to Overthink

UAI 2018 We introduce the “I Don’t Know” (IDK) prediction cascades framework to accelerate inference without a loss in prediction accuracy.

Deep Layer Aggregation

Deep Layer Aggregation

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

TextureGAN: Controlling Deep Image Synthesis with Texture Patches

TextureGAN: Controlling Deep Image Synthesis with Texture Patches

CVPR 2018 Spotlight We develop a local texture loss in addition to adversarial and content loss to train the generative network.

PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup

PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup

CVPR 2018 We introduce an automatic method for editing a portrait photo so that the subject appears to be wearing makeup in the style of another person in a reference photo.

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.