64 citations · 341 across the 39 of their papers we have counts for
74 papers · 1 filter
Contact-aware Human Motion Forecasting
Wei Mao, Miaomiao Liu, Richard Hartley +1
In this paper, we tackle the task of scene-aware 3D human motion forecasting, which consists of predicting future human poses given a 3D scene and a past human motion. A key challe…
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction
Wei Mao, Miaomiao Liu, Mathieu Salzmann
We introduce the task of action-driven stochastic human motion prediction, which aims to predict multiple plausible future motions given a sequence of action labels and a short mot…
MulT: An End-to-End Multitask Learning Transformer
Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk +1
We propose an end-to-end Multitask Learning Transformer framework, named MulT, to simultaneously learn multiple high-level vision tasks, including depth estimation, semantic segmen…
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
Tong Zhang, Congpei Qiu, Wei Ke +2
Self-supervised learning (SSL) methods aim to learn view-invariant representations by maximizing the similarity between the features extracted from different crops of the same imag…
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions
Van Nguyen Nguyen, Yinlin Hu, Yang Xiao +2
We present a method that can recognize new objects and estimate their 3D pose in RGB images even under partial occlusions. Our method requires neither a training phase on these obj…
Dyadic Human Motion Prediction
Isinsu Katircioglu, Costa Georgantas, Mathieu Salzmann +1
Prior work on human motion forecasting has mostly focused on predicting the future motion of single subjects in isolation from their past pose sequence. In the presence of closely…