241 citations · 615 across the 38 of their papers we have counts for
7 papers · 1 filter
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?
Monika Wysoczańska, Tom Monnier, Tomasz Trzciński +1
Recent advances in visual representation learning allowed to build an abundance of powerful off-the-shelf features that are ready-to-use for numerous downstream tasks. This work ai…
H3WB: Human3.6M 3D WholeBody Dataset and Benchmark
Yue Zhu, Nermin Samet, David Picard
We present a benchmark for 3D human whole-body pose estimation, which involves identifying accurate 3D keypoints on the entire human body, including face, hands, body, and feet. Cu…
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit, Adrian Popescu, Hugo Schindler +2
Exemplar-free class-incremental learning is very challenging due to the negative effect of catastrophic forgetting. A balance between stability and plasticity of the incremental pr…
SCAM! Transferring humans between images with Semantic Cross Attention Modulation
Nicolas Dufour, David Picard, Vicky Kalogeiton
A large body of recent work targets semantically conditioned image generation. Most such methods focus on the narrower task of pose transfer and ignore the more challenging task of…
Decanus to Legatus: Synthetic training for 2D-3D human pose lifting
Yue Zhu, David Picard
3D human pose estimation is a challenging task because of the difficulty to acquire ground-truth data outside of controlled environments. A number of further issues have been hinde…
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation
Victor Besnier, Andrei Bursuc, David Picard +1
Recent works on predictive uncertainty estimation have shown promising results on Out-Of-Distribution (OOD) detection for semantic segmentation. However, these methods struggle to…