Vancouver

IARAI Traffic4cast Full-Day Symposium, 15 Dec, 9am – 5pm

TimeTopicSpeakerAffiliation
9:00IntroductionDavid KreilIARAI
9:05Optimal Delayed Reward RedistributionSepp HochreiterIARAI, Johannes Kepler University
9:45Early Activity Detection and Semantic Understanding in VideosLeonid SigalUniversity of British Columbia
10:15The Making Of – Compiling the Large-scale Real-world Data for Traffic4castMoritz NeunHERE Technologies
11:00Traffic Map Movie Prediction Using U-Net with DenseNetSungbin Choiabstract
11:30Augmenting the Traffic4cast Challenge 2019 with Spatio-temporal ContextHenry MartinMIE-Lab, ETH Zurichabstract
12:00CrevNet: Conditionally Reversible Video PredictionWei YuUniversity of Torontoabstract
12:30Building an Effective Large-Scale Traffic State Prediction SystemQiming ZhangUniversity of Sydneyabstract
13:00Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic ForecastingPedro Herruzo SánchezPolytechnic University of Cataloniaabstract
14:30Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video PredictionTu NguyenDaimler Autonomous Servicesabstract
15:00Traffic4Cast – Aligning Short-term Traffic State Forecasting and Video Frame PredictionDavid JonietzHERE Technologies
15:50Significance and Relevance of Leaderboard RanksAleksandra GrucaSilesian University of Technology
16:20Picking the Right Loss – Choice of an Appropriate MetricMichael KoppIARAI, HERE Technologies
16:50Outlook to 2020David KreilIARAI
17:00Closing

Session Chairs: David Kreil (IARAI), Moritz Neun (HERE), Michael Kopp (IARAI & HERE), Shia Shi (HERE).

Traffic4cast Competition Track at NeurIPS 2019, 14 Dec.

Venue: Fairmount Vancouver hotel (5 mins walking from NeurIPS, down Burrard street). The meeting was held in the Salt Spring Island Room on ‘Floor 1’ of the hotel, with expansive windows overlooking the historic Vancouver Art Gallery.

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