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Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Yogamani, Martin Jagersand, Ahmad El-Sallab, Motion and appearance based Multi-Task Learning network for autonomous driving
Dogancan Temel, Gukyeong Kwon, Mohit Prabhushankar, Ghassan AlRegib, CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition
Priyam Parashar, Akansel Cosgun, Alireza Nakhaei and Kikuo Fujimura, Modeling Preemptive Behaviors for Uncommon Hazardous Situations From Demonstrations
Mustafa Mukadam, Akansel Cosgun, Alireza Nakhaei, Kikuo Fujimura, Tactical Decision Making for Lane Changing with Deep Reinforcement Learning
Hengshuai Yao, Masoud S. Nosrati, Kasra Rezaee, Monte-Carlo Tree Search vs. Model-Predictive Controller: A Track-Following Example
Ransalu Senanayake, Thushan Ganegedara, Fabio Ramos, Deep occupancy maps: a continuous mapping technique for dynamic environments
Author Information
Mennatullah Siam (University of Alberta)
Mohit Prabhushankar (Georgia Institute of Technology)
Mohit Prabhushankar received his Ph.D. degree in electrical engineering from the Georgia Institute of Technology (Georgia Tech), Atlanta, Georgia, 30332, USA, in 2021. He is currently a Postdoctoral Research Fellow in the School of Electrical and Computer Engineering at the Georgia Institute of Technology in the Omni Lab for Intelligent Visual Engineering and Science (OLIVES). He is working in the fields of machine learning, active learning, and robust and explainable AI. He is the recipient of the Best Paper award at ICIP 2019 and Top Viewed Special Session Paper Award at ICIP 2020. He is the recipient of the ECE Outstanding Graduate Teaching Award, the CSIP Research award, and of the Roger P Webb ECE Graduate Research Assistant Excellence award, all in 2022.
Priyam Parashar (University of California, San Diego)
Mustafa Mukadam (Georgia Institute of Technology)
hengshuai yao (University of Alberta)
Ransalu Senanayake (The University of Sydney)
I am a Computer Science PhD student at the University of Sydney specializing in Machine Learning and Robotics.
More from the Same Authors
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2020 : Paper 7: Real-time Semantic and Class-agnostic Instance Segmentation in Autonomous Driving »
Mennatullah Siam · Hazem Rashed · Ahmad El Sallab -
2021 : Temporal Transductive Inference for Few-Shot Video Object Segmentation »
Mennatullah Siam · Richard Wildes -
2022 : On the Ramifications of Human Label Uncertainty »
Chen Zhou · Mohit Prabhushankar · Ghassan AlRegib -
2023 : Learning in Clinical Trial Settings »
Zoe Fowler · Kiran Kokilepersaud · Mohit Prabhushankar · Ghassan AlRegib -
2023 : Explaining Explainers: Necessity and Sufficiency in Tabular Data »
Prithwijit Chowdhury · Mohit Prabhushankar · Ghassan AlRegib -
2023 Poster: TaskMet: Task-driven Metric Learning for Model Learning »
Dishank Bansal · Ricky T. Q. Chen · Mustafa Mukadam · Brandon Amos -
2022 Poster: OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics »
Mohit Prabhushankar · Kiran Kokilepersaud · Yash-yee Logan · Stephanie Trejo Corona · Ghassan AlRegib · Charles Wykoff -
2022 Poster: Introspective Learning : A Two-Stage approach for Inference in Neural Networks »
Mohit Prabhushankar · Ghassan AlRegib -
2022 Poster: Theseus: A Library for Differentiable Nonlinear Optimization »
Luis Pineda · Taosha Fan · Maurizio Monge · Shobha Venkataraman · Paloma Sodhi · Ricky T. Q. Chen · Joseph Ortiz · Daniel DeTone · Austin Wang · Stuart Anderson · Jing Dong · Brandon Amos · Mustafa Mukadam -
2022 : Learning scene and video understanding with limited labels »
Mennatullah Siam -
2022 : Learning scene and video understanding with limited labels »
Mennatullah Siam -
2020 Poster: Neural Dynamic Policies for End-to-End Sensorimotor Learning »
Shikhar Bahl · Mustafa Mukadam · Abhinav Gupta · Deepak Pathak -
2020 Spotlight: Neural Dynamic Policies for End-to-End Sensorimotor Learning »
Shikhar Bahl · Mustafa Mukadam · Abhinav Gupta · Deepak Pathak -
2018 : Poster Session »
Carl Trimbach · Mennatullah Siam · Rodrigo Toro Icarte · Zhongtian Dai · Sheila McIlraith · Matthew Rahtz · Robert Sheline · Christopher MacLellan · Carolin Lawrence · Stefan Riezler · Dylan Hadfield-Menell · Fang-I Hsiao -
2018 : Introduction »
Mustafa Mukadam · Sanjiban Choudhury · Siddhartha Srinivasa -
2018 Workshop: Imitation Learning and its Challenges in Robotics »
Mustafa Mukadam · Sanjiban Choudhury · Siddhartha Srinivasa -
2018 Workshop: Modeling and decision-making in the spatiotemporal domain »
Ransalu Senanayake · Neal Jean · Fabio Ramos · Girish Chowdhary -
2017 : Posters and Coffee »
Jean-Baptiste Tristan · Yunseong Lee · Anna Veronika Dorogush · Shohei Hido · Michael Terry · Mennatullah Siam · Hidemoto Nakada · Cody Coleman · Jung-Woo Ha · Hao Zhang · Adam Stooke · Chen Meng · Christopher Kappler · Lane Schwartz · Christopher Olston · Sebastian Schelter · Minmin Sun · Daniel Kang · Waldemar Hummer · Jichan Chung · Tim Kraska · Kannan Ramchandran · Nick Hynes · Christoph Boden · Donghyun Kwak -
2016 Poster: Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments »
Ransalu Senanayake · Lionel Ott · Simon O'Callaghan · Fabio Ramos -
2014 Poster: Universal Option Models »
hengshuai yao · Csaba Szepesvari · Richard Sutton · Joseph Modayil · Shalabh Bhatnagar