Adrien Chan-Hon-Tong

According to our database, Adrien Chan-Hon-Tong authored at least 32 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A New Algorithm for Linear Programming in Critical Systems.

Adrien Chan-Hon-Tong

SN Comput. Sci., 2023

Packed-Ensemble Surrogate Models for Fluid Flow Estimation Arround Airfoil Geometries.

Anthony Kalaydjian, Anton Balykov, Alexi Semiz, Adrien Chan-Hon-Tong

CoRR, 2023

2022

DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing.

Gaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux, Nicola Luminari, Guy Le Besnerais

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Regressing Image Sub-Population Distributions with Deep Learning.

Magdeleine Airiau, Adrien Chan-Hon-Tong, Robin W. Devillers, Guy Le Besnerais

Sensors, 2022

Carpet-bombing patch: attacking a deep network without usual requirements.

Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi

CoRR, 2022

Benchmarking and deeper analysis of adversarial patch attack on object detectors.

Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

Weakly-Supervised Continual Learning for Class-Incremental Segmentation.

Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

What Could We Learn from Many Datasets in Remote Sensing Roof Semantic Segmentation?

Safa Bousbih, Adrien Chan-Hon-Tong, Gaston Lenczner

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Solving Linear Programming While Tackling Number Representation Issues.

Adrien Chan-Hon-Tong

Proceedings of the 11th International Conference on Operations Research and Enterprise Systems, 2022

Contributions et perspectives pour l'amélioration de l'acceptabilité de l'apprentissage profond.

Adrien Chan-Hon-Tong

, 2022

2021

SALAD: Self-Assessment Learning for Action Detection.

Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Demotivate Adversarial Defense in Remote Sensing.

Adrien Chan-Hon-Tong, Gaston Lenczner, Aurélien Plyer

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

DISIR: Deep Image Segmentation with Interactive Refinement.

Gaston Lenczner, Bertrand Le Saux, Nicola Luminari, Adrien Chan-Hon-Tong, Guy Le Besnerais

CoRR, 2020

Interactive Learning for Semantic Segmentation in Earth Observation.

Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), 2020

Symmetric adversarial poisoning against deep learning.

Adrien Chan-Hon-Tong

Proceedings of the Tenth International Conference on Image Processing Theory, 2020

ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos.

Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning-Based vs Model-Free Adaptive Control of a MAV Under Wind Gust.

Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong, Julien Marzat, Karl Sammut, Gilles Le Chenadec, Benoit Clement

Proceedings of the Informatics in Control, Automation and Robotics, 2020

Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-based Robot Navigation.

Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong, Julien Marzat

Proceedings of the 17th International Conference on Informatics in Control, 2020

2019

An Algorithm for Generating Invisible Data Poisoning Using Adversarial Noise That Breaks Image Classification Deep Learning.

Adrien Chan-Hon-Tong

Mach. Learn. Knowl. Extr., 2019

Solving linear program with Chubanov queries and bisection moves.

Adrien Chan-Hon-Tong

CoRR, 2019

Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth.

Rodrigo Caye Daudt, Adrien Chan-Hon-Tong, Bertrand Le Saux, Alexandre Boulch

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Object Detection in Remote Sensing Images with Center Only.

Adrien Chan-Hon-Tong, Nicolas Audebert

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Image Resolution Enhancement based on Curvelet Transform.

Zehira Haddad, Adrien Chan-Hon-Tong, Jaime López-Krahe

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

Practical Scheduling of Computer Vision Functions.

Adrien Chan-Hon-Tong, Stéphane Herbin

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

2016

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest.

Manuel Campos-Taberner, Adriana Romero-Soriano, Carlo Gatta, Gustau Camps-Valls, Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu, Michal Shimoni, Gabriele Moser, Devis Tuia

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

2015

Tracking based sparse box proposal for time constraint detection in video stream.

Adrien Chan-Hon-Tong, Stéphane Herbin

Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks.

Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Segmentation supervisée d'actions à partir de primitives haut niveau dans des flux vidéos. (Action supervised segmentation based on high level features on video streams).

Adrien Chan-Hon-Tong

PhD thesis, 2014

Simultaneous segmentation and classification of human actions in video streams using deeply optimized Hough transform.

Adrien Chan-Hon-Tong, Catherine Achard, Laurent Lucat

Pattern Recognit., 2014

2013

A Region Driven and Contextualized Pedestrian Detector.

Thierry Chesnais, Thierry Chateau, Nicolas Allezard, Yoann Dhome, Boris Meden, Mohamed Tamaazousti, Adrien Chan-Hon-Tong

Proceedings of the VISAPP 2013, 2013

Skeleton Point Trajectories for Human Daily Activity Recognition.

Adrien Chan-Hon-Tong, Nicolas Ballas, Catherine Achard, Bertrand Delezoide, Laurent Lucat, Patrick Sayd, Françoise J. Prêteux

Proceedings of the VISAPP 2013, 2013

Deeply Optimized Hough Transform: Application to Action Segmentation.

Adrien Chan-Hon-Tong, Catherine Achard, Laurent Lucat

Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013