Reza Mahjourian

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All published works

Action	Title	Year	Authors
+ PDF Chat	Achieving Human Level Competitive Robot Table Tennis	2024	David B. D’Ambrosio Saminda Abeyruwan Laura Graesser Atıl Işçen Heni Ben Amor Alex Bewley Barney J. Reed Krista Reymann Leila Takayama Yuval Tassa
+ PDF Chat	VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions	2024	Seokha Moon Hyun Woo Hongbeen Park Haeji Jung Reza Mahjourian Hyung‐gun Chi Hyerin Lim Sangpil Kim Jinkyu Kim
+	Robotic Table Tennis: A Case Study into a High Speed Learning System	2023	David B. D’Ambrosio Navdeep Jaitly Vikas Sindhwani Ken Oslund Peng Xu Nevena Lazic Anish Shankar Tianli Ding Jonathan Abelian Erwin Coumans
+	Robotic Table Tennis: A Case Study into a High Speed Learning System	2023	David B. D’Ambrosio Jonathan Abelian Saminda Abeyruwan Michael J. Ahn Alex Bewley Justin D. Boyd Krzysztof Choromański Omar Andrés Carmona Cortes Erwin Coumans Tianli Ding
+ PDF Chat	Instance Segmentation with Cross-Modal Consistency	2022	Alex Zihao Zhu Vincent Casser Reza Mahjourian Henrik Kretzschmar Sören Pirk
+ PDF Chat	StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving	2022	Jinkyu Kim Reza Mahjourian Scott Ettinger Mayank Bansal Brandyn White Ben Sapp Dragomir Anguelov
+ PDF Chat	Occupancy Flow Fields for Motion Forecasting in Autonomous Driving	2022	Reza Mahjourian Jinkyu Kim Yuning Chai Mingxing Tan Ben Sapp Dragomir Anguelov
+	Instance Segmentation with Cross-Modal Consistency	2022	Alex Zihao Zhu Vincent Casser Reza Mahjourian Henrik Kretzschmar Sören Pirk
+	StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving	2022	Jinkyu Kim Reza Mahjourian Scott Ettinger Mayank Bansal Brandyn White Ben Sapp Dragomir Anguelov
+ PDF Chat	Identifying Driver Interactions via Conditional Behavior Prediction	2021	Ekaterina Tolstaya Reza Mahjourian Carlton Downey Balakrishnan Vadarajan Benjamin Sapp Dragomir Anguelov
+	Identifying Driver Interactions via Conditional Behavior Prediction	2021	Ekaterina Tolstaya Reza Mahjourian Carlton Downey Balakrishnan Varadarajan Benjamin Sapp Dragomir Anguelov
+	Identifying Driver Interactions via Conditional Behavior Prediction	2021	Ekaterina V. Tolstaya Reza Mahjourian Carlton Downey Balakrishnan Varadarajan Benjamin Sapp Dragomir Anguelov
+ PDF Chat	Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos	2019	Vincent Casser Sören Pirk Reza Mahjourian Anelia Angelova
+	Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics.	2019	Vincent Casser Sören Pirk Reza Mahjourian Anelia Angelova
+ PDF Chat	Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics	2019	Vincent Casser Sören Pirk Reza Mahjourian Anelia Angelova
+	Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics	2019	Vincent Casser Sören Pirk Reza Mahjourian Anelia Angelova
+	Hierarchical policy design for sample-efficient learning of robot table tennis through self-play	2018	Reza Mahjourian Navdeep Jaitly Nevena Lazic Sergey Levine Risto Miikkulainen
+ PDF Chat	Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints	2018	Reza Mahjourian Martin Wicke Anelia Angelova
+	Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints	2018	Reza Mahjourian Martin Wicke Anelia Angelova
+	Future Segmentation Using 3D Structure	2018	Suhani Vora Reza Mahjourian Sören Pirk Anelia Angelova
+	Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play	2018	Reza Mahjourian Risto Miikkulainen Nevena Lazic Sergey Levine Navdeep Jaitly
+	Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos	2018	Vincent Casser Sören Pirk Reza Mahjourian Anelia Angelova
+	Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints	2018	Reza Mahjourian Martin Wicke Anelia Angelova
+ PDF Chat	Geometry-based next frame prediction from monocular video	2017	Reza Mahjourian Martin Wicke Anelia Angelova
+	Geometry-Based Next Frame Prediction from Monocular Video	2016	Reza Mahjourian Martin Wicke Anelia Angelova
+	Geometry-Based Next Frame Prediction from Monocular Video	2016	Reza Mahjourian Martin Wicke Anelia Angelova

Common Coauthors

Coauthor	Papers Together
Anelia Angelova	12
Sören Pirk	8
Vincent Casser	7
Martin Wicke	6
Dragomir Anguelov	6
Navdeep Jaitly	5
Nevena Lazic	5
Jinkyu Kim	4
Krista Reymann	3
Erwin Coumans	3
Satoshi Kataoka	3
Saminda Abeyruwan	3
Laura Graesser	3
David B. D’Ambrosio	3
Yuheng Kuang	3
Ben Sapp	3
Krzysztof Choromański	3
Grace Vesom	3
Vincent Vanhoucke	3
Anish Shankar	3
Alex Bewley	3
Pannag Sanketi	3
Sherry Moore	3
Benjamin Sapp	3
Atıl Işçen	3
Vikas Sindhwani	3
Carlton Downey	3
Balakrishnan Varadarajan	2
Tianli Ding	2
Justin D. Boyd	2
Henrik Kretzschmar	2
Wenbo Gao	2
Corey Lynch	2
Ekaterina Tolstaya	2
Sergey Levine	2
Juhana Kangaspunta	2
Deepali Jain	2
Michael J. Ahn	2
Scott Ettinger	2
Pierre Sermanet	2
Alex Zihao Zhu	2
Avi Singh	2
Thinh Nguyen	2
Omar Andrés Carmona Cortes	2
Mayank Bansal	2
Ken Oslund	2
Gus Kouretas	2
Jonathan Abelian	2
Barney J. Reed	2
Brandyn White	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	6
+ PDF Chat	Unsupervised Learning of Depth and Ego-Motion from Video	2017	Tinghui Zhou Matthew Brown Noah Snavely David Lowe	5
+	SfM-Net: Learning of Structure and Motion from Video	2017	Sudheendra Vijayanarasimhan Susanna Ricco Cordelia Schmid Rahul Sukthankar Katerina Fragkiadaki	5
+ PDF Chat	Deeper Depth Prediction with Fully Convolutional Residual Networks	2016	Iro Laina Christian Rupprecht Vasileios Belagiannis Federico Tombari Nassir Navab	5
+ PDF Chat	DeMoN: Depth and Motion Network for Learning Monocular Stereo	2017	Benjamin Ummenhofer Huizhong Zhou Jonas Uhrig N. Michael Mayer Eddy Ilg Alexey Dosovitskiy Thomas Brox	5
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	4
+	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting	2015	Xingjian Shi Zhourong Chen Hao Wang Dit‐Yan Yeung Wai Kin Wong Wang‐chun Woo	4
+ PDF Chat	Unsupervised Monocular Depth Estimation with Left-Right Consistency	2017	Clément Godard Oisin Mac Aodha Gabriel Brostow	4
+	MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction	2019	Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov	4
+ 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	4
+ PDF Chat	Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields	2015	Fayao Liu Chunhua Shen Guosheng Lin Ian Reid	4
+ PDF Chat	GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose	2018	Zhichao Yin Jianping Shi	3
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	3
+	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning	2010	Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell	3
+ PDF Chat	PointPillars: Fast Encoders for Object Detection From Point Clouds	2019	Alex Lang Sourabh Vora Holger Caesar Lubing Zhou Jiong Yang Oscar Beijbom	3
+ PDF Chat	Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction	2018	Huangying Zhan Ravi Garg Chamara Saroj Weerasekera Kejie Li Harsh Agarwal Ian Reid	3
+ PDF Chat	DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents	2017	Namhoon Lee Wongun Choi Paul Vernaza Christopher Choy Philip H. S. Torr Manmohan Chandraker	3
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	3
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	3
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	3
+ 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	3
+ PDF Chat	Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding	2019	Zhenheng Yang Peng Wang Yang Wang Wei Xu Ram Nevatia	3
+	TNT: Target-driveN Trajectory Prediction	2020	Hang Zhao Jiyang Gao Tian Lan Chen Sun Benjamin Sapp Balakrishnan Varadarajan Yue Shen Yi Shen Yuning Chai Cordelia Schmid	3
+ PDF Chat	Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints	2018	Reza Mahjourian Martin Wicke Anelia Angelova	3
+	Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency	2017	Zhenheng Yang Peng Wang Wei Xu Liang Zhao Ramakant Nevatia	3
+ PDF Chat	Learning Depth from Monocular Videos Using Direct Methods	2018	Chaoyang Wang José M. Buenaposada Rui Zhu Simon Lucey	3
+ PDF Chat	VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation	2020	Jiyang Gao Chen Sun Hang Zhao Yi Shen Dragomir Anguelov Congcong Li Cordelia Schmid	3
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	3
+	Deeper Depth Prediction with Fully Convolutional Residual Networks	2016	Iro Laina Christian Rupprecht Vasileios Belagiannis Federico Tombari Nassir Navab	2
+ PDF Chat	LEGO: Learning Edge with Geometry all at Once by Watching Videos	2018	Zhenheng Yang Peng Wang Yang Wang Wei Xu Ram Nevatia	2
+	End to End Learning for Self-Driving Cars	2016	Mariusz Bojarski Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel Mathew Monfort Urs Müller Jiakai Zhang	2
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	2
+	Video (language) modeling: a baseline for generative models of natural videos.	2014	Marc’Aurelio Ranzato Arthur Szlam Joan Bruna Michaël Mathieu Ronan Collobert Sumit Chopra	2
+	Sim-to-Real: Learning Agile Locomotion For Quadruped Robots	2018	Jie Tan Tingnan Zhang Erwin Coumans Atıl Işçen Yunfei Bai Danijar Hafner Steven Bohez Vincent Vanhoucke	2
+ PDF Chat	Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks	2018	Agrim Gupta Justin Johnson Li Fei-Fei Silvio Savarese Alexandre Alahi	2
+ PDF Chat	Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture	2015	David Eigen Rob Fergus	2
+ PDF Chat	TossingBot: Learning to Throw Arbitrary Objects With Residual Physics	2020	Andy Zeng Shuran Song Johnny Lee Alberto Rodríguez Thomas Funkhouser	2
+	Unsupervised Learning for Physical Interaction through Video Prediction	2016	Chelsea Finn Ian J. Goodfellow Sergey Levine	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	2017	Tim Salimans Jonathan Ho Xi Chen Ilya Sutskever	2
+ PDF Chat	Deep predictive policy training using reinforcement learning	2017	Ali Ghadirzadeh Atsuto Maki Danica Kragić Mårten Björkman	2
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	2
+	Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning	2018	Natasha Jaques Angeliki Lazaridou Edward Hughes Çaǧlar Gülçehre Pedro A. Ortega DJ Strouse Joel Z. Leibo Nando de Freitas	2
+ PDF Chat	Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning	2018	Anusha Nagabandi Gregory Kahn Ronald S. Fearing Sergey Levine	2
+	Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control	2018	Rhiannon Michelmore Marta Kwiatkowska Yarin Gal	2
+	Action-Conditional Video Prediction using Deep Networks in Atari Games	2015	Junhyuk Oh Xiaoxiao Guo Honglak Lee Richard L. Lewis Satinder Singh	2
+	ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst	2019	Mayank Bansal Alex Krizhevsky Abhijit S. Ogale	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	Learning to Walk Via Deep Reinforcement Learning	2019	Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine	2
+	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	2018	Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine	2