66 citations · 76 across the 10 of their papers we have counts for
12 papers
Socialality Anchors: Towards Group-bounded Trajectory Prediction
Ziqian Zou, Conghao Wong, Qinmu Peng +1
Trajectory prediction is a key component for understanding human behavior patterns in dynamic scenes. Researchers have devoted substantial efforts to modeling social interactions,…
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…
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…
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…
SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory Prediction
Conghao Wong, Beihao Xia, Ziqian Zou +1
Trajectory prediction is a crucial aspect of understanding human behaviors. Researchers have made efforts to represent socially interactive behaviors among pedestrians and utilize…
SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction
Conghao Wong, Beihao Xia, Ziqian Zou +2
Analyzing and forecasting trajectories of agents like pedestrians and cars in complex scenes has become more and more significant in many intelligent systems and applications. The…
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…
CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spaces
Beihao Xia, Conghao Wong, Qinmu Peng +2
Trajectory prediction aims to predict the movement trend of the agents like pedestrians, bikers, vehicles. It is helpful to analyze and understand human activities in crowded space…
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums
Conghao Wong, Beihao Xia, Ziming Hong +5
Understanding and forecasting future trajectories of agents are critical for behavior analysis, robot navigation, autonomous cars, and other related applications. Previous methods…
MSN: Multi-Style Network for Trajectory Prediction
Conghao Wong, Beihao Xia, Qinmu Peng +2
Trajectory prediction aims to forecast agents' possible future locations considering their observations along with the video context. It is strongly needed by many autonomous platf…
BGM: Building a Dynamic Guidance Map without Visual Images for Trajectory Prediction
Beihao Xia, Conghao Wong, Heng Li +3
Visual images usually contain the informative context of the environment, thereby helping to predict agents' behaviors. However, they hardly impose the dynamic effects on agents' a…