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20162022
most citedRobust Differentiable SVD

64 citations · 341 across the 39 of their papers we have counts for

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Showing cs.CVShow all

74 papers · 1 filter

cs.CV20227 cited

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…

cs.CV20221 cited

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…

cs.CV202212 cited

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…

cs.CV20221 cited

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…

cs.CV20223 cited

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…

cs.CV2022

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…