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Author Information
Changhao Chen (University of Oxford)
Nils Gählert (Daimler AG, R&D)
# Interests - Computer Vision - Machine Learning - Autonomous Driving - Autonomous Systems # Coding - Python - C++ - TensorFlow - Pytorch - Caffe
Edouard Leurent (INRIA)
PhD student in Reinforcement Learning, at: - INRIA SequeL project for sequential learning - INRIA Non-A project for finite-time control - Renault Group
Johannes Lehner (JKU Linz)
Apratim Bhattacharyya (Max Planck Institute for Informatics)
Harkirat Singh Behl (Indian Institute of Technology Kanpur)
I am a DPhil student at the University of Oxford. I am a member of the Torr Vision Group and the Optimization for Vision and Learning group. My supervisors are Prof. Philip Torr and Prof. Pawan Kumar. I completed my undergraduate degree from Indian Institute of Technology (IIT) Kanpur in May 2018. I did a summer research internship in MSR Redmond in 2019 with Dr. Vibhav Vineet. My research interests lie in designing optimization algorithms for problems of practical interest in Computer Vision and Machine Learning.
Teck Yian Lim (University of Illinois at Urbana-Champaign)
Shiho Kim (Yonsei university)
Dr. Shiho Kim is directing Seamless Transportation Lab(http://sites.google.com/site/shihoyonsei/home) and VR Lab (vr.yonsei.ac.kr)in Yonsei Institute of Convergence Technology. He found Coperative Autonomous Vehicle research Center, a research center for development of autonomous vehicle and Intelligent Transportation System(ITS) supported SKT in 2017. His main research interest includes intelligent vehicles, Reinforcement learning, and virtual reality.
Jelena Novosel (Valeo Vision Systems)
Błażej Osiński (University of Warsaw)
Arindam Das (Valeo India)
Ruobing Shen (Hyundai Mobis Technical Center Europe)
Research Engineer at Hyundai Mobis Technical Center Europe, Germany Ph.D. from Heidelberg University, Germany Master from Clemson University, USA
Jeffrey Hawke (Wayve)
Joachim Sicking (Fraunhofer IAIS)
Babak Shahian Jahromi (University of Illinois at Chicago)
Theja Tulabandhula (University of Illinois Chicago)
Theja is a researcher working in the areas of reinforcement, online and deep machine learning with applications to transportation, retail and other fields. He received his combined bachelors and masters degree in electrical engineering with honors from Indian Institute of Technology, Kharagpur, in 2009. There, he was awarded the Prime Minister of India Gold medal for getting the highest GPA among all dual degree students. He received his Ph.D. degree in 2014, in electrical engineering and computer science at the Massachusetts Institute of Technology (MIT), Cambridge. There, he was a Xerox-MIT fellow and a Science and Technology Fulbright scholar. Please visit http://www.theja.org/ for more information!
Claudio Michaelis (Uni Tübingen)
Evgenia Rusak (University of Tuebingen)
WENHANG BAO (Columbia University)
Hazem Rashed (Valeo)
JP Chen (Uber AI)
Amin Ansari (Qualcomm Technologies, Inc.)
Jaekwang Cha (Yonsei University)
Mohamed Zahran (Valeo)
Daniele Reda (University of British Columbia)
Jinhyuk Kim (Yonsei University)
Kim Dohyun (Yonsei University)
Ho Suk (Yonsei University)
Junekyo Jhung (Yonsei University)
Alexander Kister (Fraunhofer IAIS)
Matthias Fahrland (IAV GmbH)
Adam Jakubowski (deepsense.ai)
Piotr Miłoś (University of Warsaw)
Jean Mercat (Renault and L2S)
Bruno Arsenali (Valeo)
Silviu Homoceanu (Volkswagen Group Research)
Xiao-Yang Liu (Columbia University)
Philip Torr (University of Oxford)
Ahmad El Sallab (Valeo)
Ibrahim Sobh (Valeo)
Anurag Arnab (University of Oxford)
Krzysztof Galias (Jagiellonian University)
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2020 : Paper 6: FisheyeYOLO: Object Detection on Fisheye Cameras for Autonomous Driving »
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2020 : Paper 7: Real-time Semantic and Class-agnostic Instance Segmentation in Autonomous Driving »
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2020 : Paper 21: Haar Wavelet based Block Autoregressive Flows for Trajectories »
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2020 : Paper 30: MODETR: Moving Object Detection with Transformers »
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2020 : Paper 45: A Comprehensive Study on the Application of Structured Pruning methods in Autonomous Vehicles »
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2021 : Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge »
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2021 : PKCAM: Previous Knowledge Channel Attention Module »
Eslam MOHAMED-ABDELRAHMAN · Ahmad El Sallab · Mohsen Rashwan -
2021 : MTL-TransMODS: Cascaded Multi-Task Learning for Moving Object Detection and Segmentation with Unified Transformers »
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2021 : Are Vision Transformers Always More Robust Than Convolutional Neural Networks? »
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2021 : Mix-MaxEnt: Improving Accuracy and Uncertainty Estimates of Deterministic Neural Networks »
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2021 : Off-Policy Correction For Multi-Agent Reinforcement Learning »
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2021 : Continuous Control With Ensemble Deep Deterministic Policy Gradients »
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2021 : GPU-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning »
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2021 : Graph-Tensor Singular Value Decomposition for Data Recovery »
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2021 : High Performance Hierarchical Tucker Tensor Learning Using GPU Tensor Cores »
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2021 : Codee: A Tensor Embedding Scheme for Binary Code Search »
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2021 : Deep variational reinforcement learning by optimizing Hamiltonian equation »
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2021 : Spectral Tensor Layer for Model-Parallel Deep Neural Networks »
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2022 : Boosting Multi-modal Contrastive Learning with Modern Hopfield Networks and InfoLOOB »
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2022 : Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator »
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2022 : Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery »
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2022 : Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search »
Michał Zawalski · Michał Tyrolski · Konrad Czechowski · Damian Stachura · Piotr Piękos · Tomasz Odrzygóźdź · Yuhuai Wu · Łukasz Kuciński · Piotr Miłoś -
2022 : The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning »
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2022 Poster: Disentangling Transfer in Continual Reinforcement Learning »
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2022 Poster: Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers »
Albert Q. Jiang · Wenda Li · Szymon Tworkowski · Konrad Czechowski · Tomasz Odrzygóźdź · Piotr Miłoś · Yuhuai Wu · Mateja Jamnik -
2022 Poster: Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness »
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2022 Poster: Structure-Preserving 3D Garment Modeling with Neural Sewing Machines »
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2022 Poster: Learn what matters: cross-domain imitation learning with task-relevant embeddings »
Tim Franzmeyer · Philip Torr · João Henriques -
2022 Poster: CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP »
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2022 Poster: Make Some Noise: Reliable and Efficient Single-Step Adversarial Training »
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2022 Poster: FedSR: A Simple and Effective Domain Generalization Method for Federated Learning »
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2022 Poster: Homomorphic Matrix Completion »
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2022 Poster: FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning »
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2021 : Discussion Pannel »
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2021 : Shape-Tailored Deep Neural Networks With PDEs »
Naeemullah Khan · Angira Sharma · Philip Torr · Ganesh Sundaramoorthi -
2021 : High Performance Computation for Tensor Networks Learning »
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2021 Workshop: Second Workshop on Quantum Tensor Networks in Machine Learning »
Xiao-Yang Liu · Qibin Zhao · Ivan Oseledets · Yufei Ding · Guillaume Rabusseau · Jean Kossaifi · Khadijeh Najafi · Anwar Walid · Andrzej Cichocki · Masashi Sugiyama -
2021 : Opening Remarks »
Xiao-Yang Liu -
2021 Poster: You Never Cluster Alone »
Yuming Shen · Ziyi Shen · Menghan Wang · Jie Qin · Philip Torr · Ling Shao -
2021 Poster: Looking Beyond Single Images for Contrastive Semantic Segmentation Learning »
FEIHU ZHANG · Philip Torr · Rene Ranftl · Stephan Richter -
2021 Poster: FACMAC: Factored Multi-Agent Centralised Policy Gradients »
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2021 Poster: TokenLearner: Adaptive Space-Time Tokenization for Videos »
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2021 Poster: Subgoal Search For Complex Reasoning Tasks »
Konrad Czechowski · Tomasz Odrzygóźdź · Marek Zbysiński · Michał Zawalski · Krzysztof Olejnik · Yuhuai Wu · Łukasz Kuciński · Piotr Miłoś -
2021 Poster: Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication »
Łukasz Kuciński · Tomasz Korbak · Paweł Kołodziej · Piotr Miłoś -
2021 Poster: Do Different Tracking Tasks Require Different Appearance Models? »
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2021 Poster: Continual World: A Robotic Benchmark For Continual Reinforcement Learning »
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2021 Poster: A Continuous Mapping For Augmentation Design »
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2021 Poster: Attention Bottlenecks for Multimodal Fusion »
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2021 Poster: Compressive Visual Representations »
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2021 Poster: Overcoming the Convex Barrier for Simplex Inputs »
Harkirat Singh Behl · M. Pawan Kumar · Philip Torr · Krishnamurthy Dvijotham -
2020 : Closing Remarks »
Xiao-Yang Liu -
2020 : Panel Discussion 2: Software and High Performance Implementation »
Glen Evenbly · Martin Ganahl · Paul Springer · Xiao-Yang Liu -
2020 : Panel Discussion 1: Theoretical, Algorithmic and Physical »
Jacob Biamonte · Ivan Oseledets · Jens Eisert · Nadav Cohen · Guillaume Rabusseau · Xiao-Yang Liu -
2020 Workshop: First Workshop on Quantum Tensor Networks in Machine Learning »
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2020 : Opening Remarks »
Xiao-Yang Liu -
2020 Poster: STEER : Simple Temporal Regularization For Neural ODE »
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2020 Poster: Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs »
Edouard Leurent · Odalric-Ambrym Maillard · Denis Efimov -
2020 Poster: Calibrating Deep Neural Networks using Focal Loss »
Jishnu Mukhoti · Viveka Kulharia · Amartya Sanyal · Stuart Golodetz · Philip Torr · Puneet Dokania -
2020 Oral: Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs »
Edouard Leurent · Odalric-Ambrym Maillard · Denis Efimov -
2020 Poster: Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation »
Bowen Li · Xiaojuan Qi · Philip Torr · Thomas Lukasiewicz -
2020 Poster: Continual Learning in Low-rank Orthogonal Subspaces »
Arslan Chaudhry · Naeemullah Khan · Puneet Dokania · Philip Torr -
2020 Poster: Improving robustness against common corruptions by covariate shift adaptation »
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2020 Poster: Planning in Markov Decision Processes with Gap-Dependent Sample Complexity »
Anders Jonsson · Emilie Kaufmann · Pierre Menard · Omar Darwiche Domingues · Edouard Leurent · Michal Valko -
2019 : Urban Driving With Conditional Imitation Learning »
Daniele Reda -
2019 : Meta Learning Deep Visual Words for Fast Video Object Segmentation »
Harkirat Singh Behl -
2019 : Coffee + Posters »
Benjamin Caine · Renhao Wang · Nazmus Sakib · Nana Otawara · Meha Kaushik · elmira amirloo · Nemanja Djuric · Johanna Rock · Tanmay Agarwal · Angelos Filos · Panagiotis Tigkas · Donsuk Lee · Wootae Jeon · Nikita Jaipuria · Pin Wang · Jinxin Zhao · Liangjun Zhang · Ashutosh Singh · Ershad Banijamali · Mohsen Rohani · Aman Sinha · Ameya Joshi · Ching-Yao Chan · Mohammed Abdou · Changhao Chen · Jong-Chan Kim · eslam mohamed · Matt OKelly · Nirvan Singhania · Hiroshi Tsukahara · Atsushi Keyaki · Praveen Palanisamy · Justin Norden · Micol Marchetti-Bowick · Yiming Gu · Hitesh Arora · Shubhankar Deshpande · Jeff Schneider · Shangling Jui · Vaneet Aggarwal · Tryambak Gangopadhyay · Qiaojing Yan -
2019 : Conditional Flow Variational Autoencoders for Structured Sequence Prediction »
Apratim Bhattacharyya -
2019 : Patch Refinement - Localized 3D Object Detection »
Johannes Lehner -
2019 : Lunch break & Poster session »
Breandan Considine · Michael Innes · Du Phan · Dougal Maclaurin · Robin Manhaeve · Alexey Radul · Shashi Gowda · Ekansh Sharma · Eli Sennesh · Maxim Kochurov · Gordon Plotkin · Thomas Wiecki · Navjot Kukreja · Chung-chieh Shan · Matthew Johnson · Dan Belov · Neeraj Pradhan · Wannes Meert · Angelika Kimmig · Luc De Raedt · Brian Patton · Matthew Hoffman · Rif A. Saurous · Daniel Roy · Eli Bingham · Martin Jankowiak · Colin Carroll · Junpeng Lao · Liam Paull · Martin Abadi · Angel Rojas Jimenez · JP Chen -
2019 : Coffee Break & Poster Session 1 »
Yan Zhang · Jonathon Hare · Adam Prugel-Bennett · Po Leung · Patrick Flaherty · Pitchaya Wiratchotisatian · Alessandro Epasto · Silvio Lattanzi · Sergei Vassilvitskii · Morteza Zadimoghaddam · Theja Tulabandhula · Fabian Fuchs · Adam Kosiorek · Ingmar Posner · William Hang · Anna Goldie · Sujith Ravi · Azalia Mirhoseini · Yuwen Xiong · Mengye Ren · Renjie Liao · Raquel Urtasun · Haici Zhang · Michele Borassi · Shengda Luo · Andrew Trapp · Geoffroy Dubourg-Felonneau · Yasmeen Kussad · Christopher Bender · Manzil Zaheer · Junier Oliva · Michał Stypułkowski · Maciej Zieba · Austin Dill · Chun-Liang Li · Songwei Ge · Eunsu Kang · Oiwi Parker Jones · Kelvin Ka Wing Wong · Joshua Payne · Yang Li · Azade Nazi · Erkut Erdem · Aykut Erdem · Kevin O'Connor · Juan J Garcia · Maciej Zamorski · Jan Chorowski · Deeksha Sinha · Harry Clifford · John W Cassidy -
2019 : Poster Session »
Nathalie Baracaldo · Seth Neel · Tuyen Le · Dan Philps · Suheng Tao · Sotirios Chatzis · Toyo Suzumura · Wei Wang · WENHANG BAO · Solon Barocas · Manish Raghavan · Samuel Maina · Reginald Bryant · Kush Varshney · Skyler D. Speakman · Navdeep Gill · Nicholas Schmidt · Kevin Compher · Naveen Sundar Govindarajulu · Vivek Sharma · Praneeth Vepakomma · Tristan Swedish · Jayashree Kalpathy-Cramer · Ramesh Raskar · Shihao Zheng · Mykola Pechenizkiy · Marco Schreyer · Li Ling · Chirag Nagpal · Robert Tillman · Manuela Veloso · Hanjie Chen · Xintong Wang · Michael Wellman · Matthew van Adelsberg · Ben Wood · Hans Buehler · Mahmoud Mahfouz · Antonios Alexos · Megan Shearer · Antigoni Polychroniadou · Lucia Larise Stavarache · Dmitry Efimov · Johnston P Hall · Yukun Zhang · Emily Diana · Sumitra Ganesh · Vineeth Ravi · · Swetasudha Panda · Xavier Renard · Matthew Jagielski · Yonadav Shavit · Joshua Williams · Haoran Wei · Shuang (Sophie) Zhai · Xinyi Li · Hongda Shen · Daiki Matsunaga · Jaesik Choi · Alexis Laignelet · Batuhan Guler · Jacobo Roa Vicens · Ajit Desai · Jonathan Aigrain · Robert Samoilescu -
2019 : Poster session »
Sebastian Farquhar · Erik Daxberger · Andreas Look · Matt Benatan · Ruiyi Zhang · Marton Havasi · Fredrik Gustafsson · James A Brofos · Nabeel Seedat · Micha Livne · Ivan Ustyuzhaninov · Adam Cobb · Felix D McGregor · Patrick McClure · Tim R. Davidson · Gaurush Hiranandani · Sanjeev Arora · Masha Itkina · Didrik Nielsen · William Harvey · Matias Valdenegro-Toro · Stefano Peluchetti · Riccardo Moriconi · Tianyu Cui · Vaclav Smidl · Taylan Cemgil · Jack Fitzsimons · He Zhao · · mariana vargas vieyra · Apratim Bhattacharyya · Rahul Sharma · Geoffroy Dubourg-Felonneau · Jonathan Warrell · Slava Voloshynovskiy · Mihaela Rosca · Jiaming Song · Andrew Ross · Homa Fashandi · Ruiqi Gao · Hooshmand Shokri Razaghi · Joshua Chang · Zhenzhong Xiao · Vanessa Boehm · Giorgio Giannone · Ranganath Krishnan · Joe Davison · Arsenii Ashukha · Jeremiah Liu · Sicong (Sheldon) Huang · Evgenii Nikishin · Sunho Park · Nilesh Ahuja · Mahesh Subedar · · Artyom Gadetsky · Jhosimar Arias Figueroa · Tim G. J. Rudner · Waseem Aslam · Adrián Csiszárik · John Moberg · Ali Hebbal · Kathrin Grosse · Pekka Marttinen · Bang An · Hlynur Jónsson · Samuel Kessler · Abhishek Kumar · Mikhail Figurnov · Omesh Tickoo · Steindor Saemundsson · Ari Heljakka · Dániel Varga · Niklas Heim · Simone Rossi · Max Laves · Waseem Gharbieh · Nicholas Roberts · Luis Armando Pérez Rey · Matthew Willetts · Prithvijit Chakrabarty · Sumedh Ghaisas · Carl Shneider · Wray Buntine · Kamil Adamczewski · Xavier Gitiaux · Suwen Lin · Hao Fu · Gunnar Rätsch · Aidan Gomez · Erik Bodin · Dinh Phung · Lennart Svensson · Juliano Tusi Amaral Laganá Pinto · Milad Alizadeh · Jianzhun Du · Kevin Murphy · Beatrix Benkő · Shashaank Vattikuti · Jonathan Gordon · Christopher Kanan · Sontje Ihler · Darin Graham · Michael Teng · Louis Kirsch · Tomas Pevny · Taras Holotyak -
2019 Poster: Budgeted Reinforcement Learning in Continuous State Space »
Nicolas Carrara · Edouard Leurent · Romain Laroche · Tanguy Urvoy · Odalric-Ambrym Maillard · Olivier Pietquin -
2019 Poster: Multi-Agent Common Knowledge Reinforcement Learning »
Christian Schroeder de Witt · Jakob Foerster · Gregory Farquhar · Philip Torr · Wendelin Boehmer · Shimon Whiteson -
2019 Poster: Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model »
Atilim Gunes Baydin · Lei Shao · Wahid Bhimji · Lukas Heinrich · Saeid Naderiparizi · Andreas Munk · Jialin Liu · Bradley Gram-Hansen · Gilles Louppe · Lawrence Meadows · Philip Torr · Victor Lee · Kyle Cranmer · Mr. Prabhat · Frank Wood -
2019 Poster: Controllable Text-to-Image Generation »
Bowen Li · Xiaojuan Qi · Thomas Lukasiewicz · Philip Torr -
2018 : Poster Session »
Zihan Ding · David Mguni · Yuzheng Zhuang · Edouard Leurent · Takuma Oda · Yulia Tachibana · Paweł Gora · Neema Davis · Nemanja Djuric · Fang-Chieh Chou · elmira amirloo -
2018 : Posters and Open Discussions (see below for poster titles) »
Ramya Malur Srinivasan · Miguel Perez · Yuanyuan Liu · Ben Wood · Dan Philps · Kyle Brown · Daniel Martin · Mykola Pechenizkiy · Luca Costabello · Rongguang Wang · Suproteem Sarkar · Sangwoong Yoon · Zhuoran Xiong · Enguerrand Horel · Zhu (Drew) Zhang · Ulf Johansson · Jonathan Kochems · Gregory Sidier · Prashant Reddy · Lana Cuthbertson · Yvonne Wambui · Christelle Marfaing · Galen Harrison · Irene Unceta Mendieta · Thomas Kehler · Mark Weber · Li Ling · Ceena Modarres · Abhinav Dhall · Arash Nourian · David Byrd · Ajay Chander · Xiao-Yang Liu · Hongyang Yang · Shuang (Sophie) Zhai · Freddy Lecue · Sirui Yao · Rory McGrath · Artur Garcez · Vangelis Bacoyannis · Alexandre Garcia · Lukas Gonon · Mark Ibrahim · Melissa Louie · Omid Ardakanian · Cecilia Sönströd · Kojin Oshiba · Chaofan Chen · Suchen Jin · aldo pareja · Toyo Suzumura -
2018 : Coffee Break and Poster Session I »
Pim de Haan · Bin Wang · Dequan Wang · Aadil Hayat · Ibrahim Sobh · Muhammad Asif Rana · Thibault Buhet · Nicholas Rhinehart · Arjun Sharma · Alex Bewley · Michael Kelly · Lionel Blondé · Ozgur S. Oguz · Vaibhav Viswanathan · Jeroen Vanbaar · Konrad Żołna · Negar Rostamzadeh · Rowan McAllister · Sanjay Thakur · Alexandros Kalousis · Chelsea Sidrane · Sujoy Paul · Daphne Chen · Michal Garmulewicz · Henryk Michalewski · Coline Devin · Hongyu Ren · Jiaming Song · Wen Sun · Hanzhang Hu · Wulong Liu · Emilie Wirbel -
2018 Poster: A Unified View of Piecewise Linear Neural Network Verification »
Rudy Bunel · Ilker Turkaslan · Philip Torr · Pushmeet Kohli · Pawan K Mudigonda -
2018 Demonstration: A Hands-free Natural User Interface (NUI) for AR/VR Head-Mounted Displays Exploiting Wearer’s Facial Gestures »
Jaekwang Cha · Shiho Kim · Jinhyuk Kim -
2017 : Poster Session (encompasses coffee break) »
Beidi Chen · Borja Balle · Daniel Lee · iuri frosio · Jitendra Malik · Jan Kautz · Ke Li · Masashi Sugiyama · Miguel A. Carreira-Perpinan · Ramin Raziperchikolaei · Theja Tulabandhula · Yung-Kyun Noh · Adams Wei Yu -
2017 Poster: Learning Disentangled Representations with Semi-Supervised Deep Generative Models »
Siddharth Narayanaswamy · Brooks Paige · Jan-Willem van de Meent · Alban Desmaison · Noah Goodman · Pushmeet Kohli · Frank Wood · Philip Torr -
2016 Poster: Adaptive Neural Compilation »
Rudy Bunel · Alban Desmaison · Pawan K Mudigonda · Pushmeet Kohli · Philip Torr -
2016 Poster: Learning feed-forward one-shot learners »
Luca Bertinetto · João Henriques · Jack Valmadre · Philip Torr · Andrea Vedaldi -
2013 Poster: Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation »
Vibhav Vineet · Carsten Rother · Philip Torr -
2011 Poster: Learning Anchor Planes for Classification »
Ziming Zhang · Lubor Ladicky · Philip Torr · Amir Saffari -
2011 Demonstration: Online structured-output learning for real-time object tracking and detection »
Sam Hare · Amir Saffari · Philip Torr -
2008 Poster: Improved Moves for Truncated Convex Models »
Pawan K Mudigonda · Philip Torr -
2008 Spotlight: Improved Moves for Truncated Convex Models »
Pawan K Mudigonda · Philip Torr -
2007 Oral: An Analysis of Convex Relaxations for MAP Estimation »
Pawan K Mudigonda · Vladimir Kolmogorov · Philip Torr -
2007 Poster: An Analysis of Convex Relaxations for MAP Estimation »
Pawan K Mudigonda · Vladimir Kolmogorov · Philip Torr