most citedSpatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

10 citations · 18 across the 2 of their papers we have counts for

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cs.CV2020

Socially and Contextually Aware Human Motion and Pose Forecasting

Vida Adeli, Ehsan Adeli, Ian Reid +2

Smooth and seamless robot navigation while interacting with humans depends on predicting human movements. Forecasting such human dynamics often involves modeling human trajectories…

cs.CV2020

It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal +4

Human trajectory forecasting with multiple socially interacting agents is of critical importance for autonomous navigation in human environments, e.g., for self-driving cars and so…

cs.CV2020

Spatio-Temporal Graph for Video Captioning with Knowledge Distillation

Boxiao Pan, Haoye Cai, De-An Huang +4

Video captioning is a challenging task that requires a deep understanding of visual scenes. State-of-the-art methods generate captions using either scene-level or object-level info…

cs.CV202010 cited

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

Bingbin Liu, Ehsan Adeli, Zhangjie Cao +4

Reasoning over visual data is a desirable capability for robotics and vision-based applications. Such reasoning enables forecasting of the next events or actions in videos. In rece…

cs.CV20198 cited

Adversarial Cross-Domain Action Recognition with Co-Attention

Boxiao Pan, Zhangjie Cao, Ehsan Adeli +1

Action recognition has been a widely studied topic with a heavy focus on supervised learning involving sufficient labeled videos. However, the problem of cross-domain action recogn…

cs.CV2019

Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision

Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee +2

We tackle the problem of Human Locomotion Forecasting, a task for jointly predicting the spatial positions of several keypoints on the human body in the near future under an egocen…