5 papers
Encore: Conditioning Trajectory Forecasting via Biased Ego Rehearsals
Conghao Wong, Ziqian Zou, Xinge You
Learning and representing the subjectivities of agents has become a challenging but crucial problem in the trajectory prediction task. Such subjectivities not only present specific…
Reverberation: Learning the Latencies Before Forecasting Trajectories
Conghao Wong, Ziqian Zou, Beihao Xia +1
Bridging the past to the future, connecting agents both spatially and temporally, lies at the core of the trajectory prediction task. Despite great efforts, it remains challenging…
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations
Conghao Wong, Ziqian Zou, Beihao Xia +1
Learning to forecast trajectories of intelligent agents has caught much more attention recently. However, it remains a challenge to accurately account for agents' intentions and so…
Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction
Ziqian Zou, Conghao Wong, Beihao Xia +2
Understanding and anticipating human movement has become more critical and challenging in diverse applications such as autonomous driving and surveillance. The complex interactions…
Another Vertical View: A Hierarchical Network for Heterogeneous Trajectory Prediction via Spectrums
Beihao Xia, Conghao Wong, Duanquan Xu +2
With the fast development of AI-related techniques, the applications of trajectory prediction are no longer limited to easier scenes and trajectories. More and more trajectories wi…