6 papers
Occlusion-Aware Diffusion Model for Pedestrian Intention Prediction
Yu Liu, Zhijie Liu, Zedong Yang +2
Predicting pedestrian crossing intentions is crucial for the navigation of mobile robots and intelligent vehicles. Although recent deep learning-based models have shown significant…
Intention-Aware Diffusion Model for Pedestrian Trajectory Prediction
Yu Liu, Zhijie Liu, Xiao Ren +2
Predicting pedestrian motion trajectories is critical for the path planning and motion control of autonomous vehicles. Recent diffusion-based models have shown promising results in…
Intention Enhanced Diffusion Model for Multimodal Pedestrian Trajectory Prediction
Yu Liu, Zhijie Liu, Xiao Ren +2
Predicting pedestrian motion trajectories is critical for path planning and motion control of autonomous vehicles. However, accurately forecasting crowd trajectories remains a chal…
AuralNet: Hierarchical Attention-based 3D Binaural Localization of Overlapping Speakers
Linya Fu, Yu Liu, Zhijie Liu +4
We propose AuralNet, a novel 3D multi-source binaural sound source localization approach that localizes overlapping sources in both azimuth and elevation without prior knowledge of…
CLAMP: Crowdsourcing a LArge-scale in-the-wild haptic dataset with an open-source device for Multimodal robot Perception
Pranav N. Thakkar, Shubhangi Sinha, Karan Baijal +11
Robust robot manipulation in unstructured environments often requires understanding object properties that extend beyond geometry, such as material or compliance-properties that ca…
Listen to Extract: Onset-Prompted Target Speaker Extraction
Pengjie Shen, Kangrui Chen, Shulin He +5
We propose listen to extract (LExt), a highly-effective while extremely-simple algorithm for monaural target speaker extraction (TSE). Given an enrollment utterance of a target spe…