activity
20182024
most citedOccupancy Flow Fields for Motion Forecasting in Autonomous Driving

74 citations · 97 across the 4 of their papers we have counts for

collaborators

8 papers

cs.RO2024

UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios

Reza Mahjourian, Rongbing Mu, Valerii Likhosherstov +4

This paper introduces UniGen, a novel approach to generating new traffic scenarios for evaluating and improving autonomous driving software through simulation. Our approach models…

cs.CV2022

Instance Segmentation with Cross-Modal Consistency

Alex Zihao Zhu, Vincent Casser, Reza Mahjourian +2

Segmenting object instances is a key task in machine perception, with safety-critical applications in robotics and autonomous driving. We introduce a novel approach to instance seg…

cs.RO202274 cited

Occupancy Flow Fields for Motion Forecasting in Autonomous Driving

Reza Mahjourian, Jinkyu Kim, Yuning Chai +3

We propose Occupancy Flow Fields, a new representation for motion forecasting of multiple agents, an important task in autonomous driving. Our representation is a spatio-temporal g…

cs.RO2021

Identifying Driver Interactions via Conditional Behavior Prediction

Ekaterina Tolstaya, Reza Mahjourian, Carlton Downey +3

Interactive driving scenarios, such as lane changes, merges and unprotected turns, are some of the most challenging situations for autonomous driving. Planning in interactive scena…

cs.CV201923 cited

Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics

Vincent Casser, Soeren Pirk, Reza Mahjourian +1

We present an approach which takes advantage of both structure and semantics for unsupervised monocular learning of depth and ego-motion. More specifically, we model the motion of…

cs.CV2018

Future Segmentation Using 3D Structure

Suhani Vora, Reza Mahjourian, Soeren Pirk +1

Predicting the future to anticipate the outcome of events and actions is a critical attribute of autonomous agents; particularly for agents which must rely heavily on real time vis…