216 citations · 493 across the 31 of their papers we have counts for
4 papers · 1 filter
Synthetic Data in Human Analysis: A Survey
Indu Joshi, Marcel Grimmer, Christian Rathgeb +3
Deep neural networks have become prevalent in human analysis, boosting the performance of applications, such as biometric recognition, action recognition, as well as person re-iden…
THORN: Temporal Human-Object Relation Network for Action Recognition
Mohammed Guermal, Rui Dai, Francois Bremond
Most action recognition models treat human activities as unitary events. However, human activities often follow a certain hierarchy. In fact, many human activities are compositiona…
Latent Image Animator: Learning to Animate Images via Latent Space Navigation
Yaohui Wang, Di Yang, Francois Bremond +1
Due to the remarkable progress of deep generative models, animating images has become increasingly efficient, whereas associated results have become increasingly realistic. Current…
Unsupervised Lifelong Person Re-identification via Contrastive Rehearsal
Hao Chen, Benoit Lagadec, Francois Bremond
Existing unsupervised person re-identification (ReID) methods focus on adapting a model trained on a source domain to a fixed target domain. However, an adapted ReID model usually…