Small-Task Incremental Learning

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

arXiv (2020)

Paper

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]

Paper

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

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