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LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
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2020
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Sivabalan Manivasagam
Shenlong Wang
Kelvin Wong
Wenyuan Zeng
Mikita Sazanovich
Shuhan Tan
Bin Yang
Wei-Chiu Ma
Raquel Urtasun
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4
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V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
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2020
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Tsun-Hsuan Wang
Sivabalan Manivasagam
Ming Liang
Bin Yang
Wenyuan Zeng
Raquel Urtasun
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4
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End to End Learning for Self-Driving Cars
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2016
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Mariusz Bojarski
Davide Del Testa
Daniel Dworakowski
Bernhard Firner
Beat Flepp
Prasoon Goyal
Lawrence D. Jackel
Mathew Monfort
Urs Müller
Jiakai Zhang
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3
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AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
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2017
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Shital Shah
Debadeepta Dey
Chris Lovett
Ashish Kapoor
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3
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Variational End-to-End Navigation and Localization
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2019
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Alexander Amini
Guy Rosman
Sertaç Karaman
Daniela Rus
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3
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Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
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2018
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Huaizu Jiang
Deqing Sun
Varan Jampani
Ming–Hsuan Yang
Erik Learned-Miller
Jan Kautz
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3
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Crafting adversarial input sequences for recurrent neural networks
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2016
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Nicolas Papernot
Patrick McDaniel
Ananthram Swami
Richard Harang
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2
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PhaseNet for Video Frame Interpolation
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2018
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Simone Meyer
Abdelaziz Djelouah
Brian McWilliams
Alexander Sorkine‐Hornung
Markus Groß
Christopher Schroers
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2
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Towards Evaluating the Robustness of Neural Networks
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2017
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Nicholas Carlini
David Wagner
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2
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MoCoGAN: Decomposing Motion and Content for Video Generation
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2018
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Sergey Tulyakov
Ming-Yu Liu
Xiaodong Yang
Jan Kautz
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2
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Unsupervised Learning for Physical Interaction through Video Prediction
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2016
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Chelsea Finn
Ian J. Goodfellow
Sergey Levine
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2
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Stochastic Variational Video Prediction
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2017
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Mohammad Babaeizadeh
Chelsea Finn
Dumitru Erhan
Roy H. Campbell
Sergey Levine
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2
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Deep Ordinal Regression Network for Monocular Depth Estimation
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2018
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Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
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2
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
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2015
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Alec Radford
Luke Metz
Soumith Chintala
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2
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Robust Federated Learning in a Heterogeneous Environment
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2019
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Avishek Ghosh
Justin Hong
Dong Yin
Kannan Ramchandran
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2
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Sparse Adversarial Perturbations for Videos
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2019
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Xingxing Wei
Jun Zhu
Sha Yuan
Hang Su
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2
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Video Synthesis from a Single Image and Motion Stroke
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2018
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Qiyang Hu
Adrian Waelchli
Tiziano Portenier
Matthias Zwicker
Paolo Favaro
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2
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Deep Imitative Models for Flexible Inference, Planning, and Control
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2018
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Nicholas Rhinehart
Rowan McAllister
Sergey Levine
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2
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Multimodal End-to-End Autonomous Driving
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2020
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Yi Xiao
Felipe Codevilla
Akhil Gurram
Onay Urfalıoǧlu
Antonio M. López
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2
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End-to-End Driving Via Conditional Imitation Learning
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2018
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Felipe Codevilla
Matthias Müller
Antonio M. López
Vladlen Koltun
Alexey Dosovitskiy
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2
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Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
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2017
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Wieland Brendel
Jonas Rauber
Matthias Bethge
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2
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Interpretable Adversarial Perturbation in Input Embedding Space for Text
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2018
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Motoki Sato
Jun Suzuki
Hiroyuki Shindo
Yūji Matsumoto
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2
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Attentive Semantic Video Generation Using Captions
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2017
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Tanya Marwah
Gaurav Mittal
Vineeth N Balasubramanian
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2
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Focal Loss for Dense Object Detection
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2017
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Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
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2
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Adversarial Discriminative Domain Adaptation
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2017
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Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
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2
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Practical Black-Box Attacks against Machine Learning
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2017
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Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
Somesh Jha
Z. Berkay Celik
Ananthram Swami
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2
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Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
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2019
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Thomas Brunner
Frederik Diehl
Michael Truong Le
Alois Knoll
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2
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Video Frame Interpolation via Adaptive Convolution
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2017
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Simon Niklaus
Long Mai
Feng Liu
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2
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Adversarial Examples for Semantic Segmentation and Object Detection
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2017
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Cihang Xie
Jianyu Wang
Zhishuai Zhang
Yuyin Zhou
Lingxi Xie
Alan Yuille
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2
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The Pose Knows: Video Forecasting by Generating Pose Futures
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2017
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Jacob Walker
Kenneth Marino
Abhinav Gupta
Martial Hebert
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2
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Generative Visual Manipulation on the Natural Image Manifold
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2016
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Jun-Yan Zhu
Philipp Krähenbühl
Eli Shechtman
Alexei A. Efros
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2
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Motion Prediction Under Multimodality with Conditional Stochastic Networks.
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2017
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Katerina Fragkiadaki
Jonathan Huang
Alex Alemi
Sudheendra Vijayanarasimhan
Susanna Ricco
Rahul Sukthankar
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2
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MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
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2018
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Xinchen Yan
Akash Rastogi
Ruben Villegas
Kalyan Sunkavalli
Eli Shechtman
Sunil Hadap
Ersin Yumer
Honglak Lee
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2
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Stochastic Adversarial Video Prediction
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2018
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Alex X. Lee
Richard Zhang
Frederik Ebert
Pieter Abbeel
Chelsea Finn
Sergey Levine
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Video (language) modeling: a baseline for generative models of natural videos.
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2014
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Arthur Szlam
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Michaël Mathieu
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On Offline Evaluation of Vision-Based Driving Models
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2018
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Felipe Codevilla
Antonio M. López
Vladlen Koltun
Alexey Dosovitskiy
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2
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Generating Videos with Scene Dynamics
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2016
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Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
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2
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Conditional Video Generation Using Action-Appearance Captions
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2018
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Shohei Yamamoto
Antonio Tejero-de-Pablos
Yoshitaka Ushiku
Tatsuya Harada
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2
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Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
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2018
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Xinjing Cheng
Peng Wang
Ruigang Yang
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2
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Adversarial Attacks on Neural Network Policies
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2017
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Sandy H. Huang
Nicolas Papernot
Ian Goodfellow
Yan Duan
Pieter Abbeel
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2
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Gibson Env: Real-World Perception for Embodied Agents
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2018
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Fei Xia
Amir Zamir
Zhiyang He
Alexander F. Sax
Jitendra Malik
Silvio Savarese
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2
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Improving Transferability of Adversarial Examples With Input Diversity
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2019
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Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
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2
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Virtual to Real Reinforcement Learning for Autonomous Driving
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2017
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Xinlei Pan
Yurong You
Ziyan Wang
Cewu Lu
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2
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Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
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2018
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Fangchang Ma
Sertaç Karaman
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2
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End-to-End Learning of Driving Models from Large-Scale Video Datasets
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2017
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Huazhe Xu
Yang Gao
Fisher Yu
Trevor Darrell
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2
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Video Generation From Text
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2017
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Yitong Li
Martin Renqiang Min
Dinghan Shen
David Carlson
Lawrence Carin
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2
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Unsupervised Learning of Visual Structure using Predictive Generative Networks
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2015
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William Lotter
Gabriel Kreiman
David Cox
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Probabilistic Video Generation Using Holistic Attribute Control
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2018
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Jiawei He
Andreas Lehrmann
Joseph Marino
Greg Mori
Leonid Sigal
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2
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Video Frame Synthesis Using Deep Voxel Flow
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2017
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Ziwei Liu
Raymond A. Yeh
Xiaoou Tang
Yiming Liu
Aseem Agarwala
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2
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Self-supervised learning of a facial attribute embedding from video
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2018
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Olivia Wiles
A. Sophia Koepke
Andrew Zisserman
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2
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