Recent Publications
Deep Layer Aggregation
CVPR 2018 Oral We augment standard architectures with deeper aggregation to better fuse information across layers.
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Semantic Predictive Control for Explainable and Efficient Policy Learning
ICRA 2019 We propose a driving policy learning framework that predicts feature representations of future visual inputs.
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
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
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
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
CVPR 2018 Oral We augment standard architectures with deeper aggregation to better fuse information across layers.
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
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
3DV 2017 We propose using a generative adversarial network (GAN) to assist a novice user in designing real-world shapes with a simple interface.