NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (21)

cs.AI2019

Deep Object-Centric Policies for Autonomous Driving

Dequan Wang, Coline Devin, Qi-Zhi Cai +2

cs.CV2019

TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning

Xin Wang, Fisher Yu, Ruth Wang +2

cs.CV2019

Disentangling Propagation and Generation for Video Prediction

Hang Gao, Huazhe Xu, Qi-Zhi Cai +3

The paper proposes a video prediction model that separates motion-based warping from generative inpainting, using a confidence-aware warping operator to handle non‑occluded and occ…

#video prediction#motion propagation#occlusion handling#warping
cs.CV2016

Semantic Scene Completion from a Single Depth Image

Shuran Song, Fisher Yu, Andy Zeng +3

cs.CV2019

Hierarchical Discrete Distribution Decomposition for Match Density Estimation

Zhichao Yin, Trevor Darrell, Fisher Yu

cs.CV2018

IDK Cascades: Fast Deep Learning by Learning not to Overthink

Xin Wang, Yujia Luo, Daniel Crankshaw +3

cs.CV2018

Interactive 3D Modeling with a Generative Adversarial Network

Jerry Liu, Fisher Yu, Thomas Funkhouser

cs.CV2019

Deep Mixture of Experts via Shallow Embedding

Xin Wang, Fisher Yu, Lisa Dunlap +5

cs.CV2018

TextureGAN: Controlling Deep Image Synthesis with Texture Patches

Wenqi Xian, Patsorn Sangkloy, Varun Agrawal +5

cs.CV2017

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

Huazhe Xu, Yang Gao, Fisher Yu +1

cs.CV2016

Multi-Scale Context Aggregation by Dilated Convolutions

Fisher Yu, Vladlen Koltun

cs.CV2019

Deep Layer Aggregation

Fisher Yu, Dequan Wang, Evan Shelhamer +1

cs.CV2016

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

Fisher Yu, Ari Seff, Yinda Zhang +3

cs.GR2015

ShapeNet: An Information-Rich 3D Model Repository

Angel X. Chang, Thomas Funkhouser, Leonidas Guibas +10

cs.CV2018

SkipNet: Learning Dynamic Routing in Convolutional Networks

Xin Wang, Fisher Yu, Zi-Yi Dou +2

cs.CV2016

Scribbler: Controlling Deep Image Synthesis with Sketch and Color

Patsorn Sangkloy, Jingwan Lu, Chen Fang +2

cs.CV2015

3D ShapeNets: A Deep Representation for Volumetric Shapes

Zhirong Wu, Shuran Song, Aditya Khosla +4

cs.AI2019

Reinforcement Learning from Imperfect Demonstrations

Yang Gao, Huazhe Xu, Ji Lin +3

cs.CV2017

Dilated Residual Networks

Fisher Yu, Vladlen Koltun, Thomas Funkhouser

cs.CV2016

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

Judy Hoffman, Dequan Wang, Fisher Yu +1

cs.CR2018

Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation

Chaowei Xiao, Ruizhi Deng, Bo Li +3