Jay Shenoy

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Scenic: a language for scenario specification and scene generation 2019 Daniel J. Fremont
Tommaso Dreossi
Shromona Ghosh
Xiangyu Yue
Alberto Sangiovanni‐Vincentelli
Sanjit A. Seshia
3
+ PDF Chat Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World 2020 Daniel J. Fremont
Edward Kim
Yash Vardhan Pant
Sanjit A. Seshia
Atul Acharya
Xantha Bruso
Paul Wells
Steve Lemke
Qiang Lu
Shalin Mehta
2
+ PDF Chat Argoverse: 3D Tracking and Forecasting With Rich Maps 2019 Ming-Fang Chang
Deva Ramanan
James Hays
John Lambert
Patsorn Sangkloy
Jagjeet Singh
Sławomir Bąk
Andrew T. Hartnett
Wang De
Peter Carr
2
+ Deep Probabilistic Programming 2017 Dustin Tran
Matthew D. Hoffman
Rif A. Saurous
Eugene Brevdo
Kevin Murphy
David M. Blei
1
+ PDF Chat AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles 2017 Shital Shah
Debadeepta Dey
Chris Lovett
Ashish Kapoor
1
+ Megapixel Size Image Creation using Generative Adversarial Networks 2017 Marco Marchesi
1
+ PDF Chat Generative Adversarial Networks: An Overview 2018 Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
Biswa Sengupta
Anil A. Bharath
1
+ PDF Chat Deep visual domain adaptation: A survey 2018 Mei Wang
Weihong Deng
1
+ Discontinuous Hamiltonian Monte Carlo for Probabilistic Programs. 2018 Bradley Gram-Hansen
Yuan Zhou
Tobias Kohn
Hongseok Yang
Frank Wood
1
+ PDF Chat Hierarchical Recurrent Attention Networks for Structured Online Maps 2018 Namdar Homayounfar
Wei-Chiu Ma
Shrinidhi Kowshika Lakshmikanth
Raquel Urtasun
1
+ PDF Chat The ApolloScape Open Dataset for Autonomous Driving and Its Application 2019 Xinyu Huang
Peng Wang
Xinjing Cheng
Dingfu Zhou
Qichuan Geng
Ruigang Yang
1
+ PDF Chat Adaptive Stress Testing for Autonomous Vehicles 2018 Mark Koren
Saud Alsaif
Ritchie Lee
Mykel J. Kochenderfer
1
+ Pyro: Deep Universal Probabilistic Programming 2018 Eli Bingham
Jonathan P. Chen
Martin Jankowiak
Fritz Obermeyer
Neeraj Pradhan
Theofanis Karaletsos
Rohit Singh
Paul Szerlip
Paul Horsfall
Noah D. Goodman
1
+ Paracosm: A Language and Tool for Testing Autonomous Driving Systems 2019 Rupak Majumdar
Aman Mathur
Marcus Pirron
Laura Stegner
Damien Zufferey
1
+ Recurrent Topic-Transition GAN for Visual Paragraph Generation 2017 Xiaodan Liang
Zhiting Hu
Hao Zhang
Chuang Gan
Eric P. Xing
1
+ PDF Chat Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning Components 2018 Cumhur Erkan Tuncali
Georgios Fainekos
Hisahiro Ito
James Kapinski
1
+ Virtual to Real Reinforcement Learning for Autonomous Driving 2017 Xinlei Pan
Yurong You
Ziyan Wang
Cewu Lu
1
+ Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation 2018 Matthew O’Kelly
Aman Sinha
Hongseok Namkoong
John C. Duchi
Russ Tedrake
1
+ PDF Chat Image to Image Translation for Domain Adaptation 2018 Zak Murez
Soheil Kolouri
David Kriegman
Ravi Ramamoorthi
Kyungnam Kim
1
+ PDF Chat Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering 2016 Huijuan Xu
Kate Saenko
1
+ PDF Chat Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks? 2017 Matthew Johnson‐Roberson
Charles Barto
Rounak Mehta
Sharath Nittur Sridhar
Karl Rosaen
Ram Vasudevan
1
+ The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo 2014 Matthew D. Homan
Andrew Gelman
1
+ Pyro: Deep Universal Probabilistic Programming 2018 Eli Bingham
Jonathan P. Chen
Martin Jankowiak
Fritz Obermeyer
Neeraj Pradhan
Theofanis Karaletsos
Rohit Singh
Paul Szerlip
Paul Horsfall
Noah D. Goodman
1
+ PDF Chat Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks 2019 Henggang Cui
Vladan Radosavljević
Fang‐Chieh Chou
Tsung-Han Lin
Thi Nguyen
Tzu-Kuo Huang
Jeff Schneider
Nemanja Djuric
1
+ Multi-source Domain Adaptation for Semantic Segmentation 2019 Sicheng Zhao
Bo Li
Xiangyu Yue
Yang Gu
Pengfei Xu
Runbo Hu
Hua Chai
Kurt Keutzer
1
+ INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps 2019 Wei Zhan
Liting Sun
Di Wang
Haojie Shi
Aubrey Clausse
Maximilian Naumann
Julius Kümmerle
Hendrik Königshof
Christoph Stiller
Arnaud de La Fortelle
1
+ Multi-source Domain Adaptation for Semantic Segmentation 2019 Sicheng Zhao
Bo Li
Xiangyu Yue
Yang Gu
Pengfei Xu
Runbo Hu
Hua Chai
Kurt Keutzer
1
+ Argoverse: 3D Tracking and Forecasting with Rich Maps 2019 Ming-Fang Chang
John Lambert
Patsorn Sangkloy
Jagjeet Singh
Sławomir Bąk
Andrew T. Hartnett
Wang De
Peter Carr
Simon Lucey
Deva Ramanan
1
+ PDF Chat Meta-Sim: Learning to Generate Synthetic Datasets 2019 Amlan Kar
Aayush Prakash
Ming-Yu Liu
Eric Cameracci
Justin Yuan
Matt Rusiniak
David Acuna
Antonio Torralba
Sanja Fidler
1
+ PDF Chat Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering 2018 Yash Goyal
Tejas Khot
Aishwarya Agrawal
Douglas Summers-Stay
Dhruv Batra
Devi Parikh
1
+ LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving 2020 Guodong Rong
Byung Hyun Shin
Hadi Tabatabaee
Qiang Lu
Steve Lemke
Mārtiņš Možeiko
Eric Boise
Geehoon Uhm
Mark Gerow
Shalin Mehta
1
+ Dice: Compiling Discrete Probabilistic Programs for Scalable Inference. 2020 Steven Holtzen
Guy Van den Broeck
Todd D. Millstein
1
+ PDF Chat A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors 2020 Edward Kim
Divya Gopinath
Corina S. Păsăreanu
Sanjit A. Seshia
1
+ PDF Chat LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World 2020 Sivabalan Manivasagam
Shenlong Wang
Kelvin Wong
Wenyuan Zeng
Mikita Sazanovich
Shuhan Tan
Bin Yang
Wei-Chiu Ma
Raquel Urtasun
1
+ PDF Chat Scalability in Perception for Autonomous Driving: Waymo Open Dataset 2020 Pei Sun
Henrik Kretzschmar
Xerxes Dotiwalla
Aurélien Chouard
Vijaysai Patnaik
Paul Tsui
James C. Y. Guo
Yin Zhou
Yuning Chai
Benjamin Caine
1
+ PDF Chat BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning 2020 Fisher Yu
Haofeng Chen
Xin Wang
Wenqi Xian
Yingying Chen
Fangchen Liu
Vashisht Madhavan
Trevor Darrell
1
+ PDF Chat nuScenes: A Multimodal Dataset for Autonomous Driving 2020 Holger Caesar
Varun Bankiti
Alex Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yu Pan
Giancarlo Baldan
Oscar Beijbom
1
+ What-If Motion Prediction for Autonomous Driving 2020 Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew T. Hartnett
Deva Ramanan
1
+ PDF Chat Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting 2020 Jean Mercat
Thomas Gilles
Nicole El Zoghby
Guillaume Sandou
Dominique Beauvois
Guillermo Pita Gil
1
+ PDF Chat Learning Lane Graph Representations for Motion Forecasting 2020 Ming Liang
Bin Yang
Rui Hu
Yun Chen
Renjie Liao
Song Feng
Raquel Urtasun
1
+ PDF Chat Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction 2020 Kelvin Wong
Qiang Zhang
Ming Liang
Bin Yang
Renjie Liao
Abbas Sadat
Raquel Urtasun
1
+ PDF Chat LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving 2020 Guodong Rong
Byung Hyun Shin
Hadi Tabatabaee
Qiang Lu
Steve Lemke
Mārtiņš Možeiko
Eric Boise
Geehoon Uhm
Mark Gerow
Shalin Mehta
1
+ PDF Chat Addressing the IEEE AV Test Challenge with Scenic and VerifAI 2021 Kesav Viswanadha
Francis Indaheng
J. Wong
Edward Kim
Ellen Kalvan
Yash Vardhan Pant
Daniel J. Fremont
Sanjit A. Seshia
1
+ CARLA: An Open Urban Driving Simulator 2017 Alexey Dosovitskiy
Germán Ros
Felipe Codevilla
Antonio M. López
Vladlen Koltun
1
+ Automated Variational Inference in Probabilistic Programming 2013 D. L. Wingate
Théophane Weber
1
+ Automated Variational Inference in Probabilistic Programming 2013 David Wingate
Théophane Weber
1
+ Automatic variational inference in Stan 2015 Alp Kucukelbir
Rajesh Ranganath
Andrew Gelman
David M. Blei
1
+ A New Approach to Probabilistic Programming Inference 2014 Frank Wood
Jan-Willem van de Meent
Vikash K. Mansinghka
1
+ dReal: An SMT Solver for Nonlinear Theories over the Reals 2013 Sicun Gao
Soonho Kong
Edmund M. Clarke
1