Insights from the Future for Continual Learning

A. Douillard, M. Cord, C. Ollion, T. Robert, E. Valle

arxiv (2020)

Paper

PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning

A. Douillard, M. Cord, C. Ollion, T. Robert, E. Valle

European Conference on Computer Vision (ECCV) (2020) Initially titled "Small-Task Incremental Learning"

Paper Code

Improving Latent Representations of ConvNets for Visual Understanding

T. Robert

PhD thesis, Sorbonne Université, Paris (2019) Jury: Stéphane Canu [Reviewer], Greg Mori [Reviewer], Catherine Achard [Examinator], Karteek Alahari [Examinator], David Picard [Examinator], Matthieu Cord [Supervisor], Nicolas Thome [Supervisor]

Thesis Slides

DualDis: Dual-Branch Disentangling with Adversarial Learning

T. Robert, N. Thome, M. Cord

arXiv (2019)

Paper

HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning

T. Robert, N. Thome, M. Cord

European Conference on Computer Vision (ECCV) (2018) Munich, Germany

Paper Poster Code

SHADE: Information-Based Regularization for Deep Learning

M. Blot, T. Robert, N. Thome, M. Cord

IEEE International Conference on Image Processing (ICIP) (2018) Athens, Greece. Best paper award

Paper

M2CAI workflow challenge: classification of surgical operation steps based on endosopic videos

R. Cadene, T. Robert, N. Thome, M. Cord

M2CAI workshop @ MICCAI (2016) Athens, Greece. 2nd best model submitted to the challenge

Technical paper Slides

VISIIR: deep learning for recipe image classification

T. Robert, R. Cadene, N. Thome, M. Cord

(2016) Unpublised extension of published work

Project website & Demo Related publication

DjLu: an open-source tool to organize your bibliography

T. Robert, M. Carvalho, R. Cadene

GitHub (2016)

Website Code