Adrien Chan-Hon-Tong

Orcid: 0000-0002-7333-2765

According to our database1, Adrien Chan-Hon-Tong authored at least 33 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Bibliography

2024
Optimal transport based adversarial patch to leverage large scale attack transferability.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
A New Algorithm for Linear Programming in Critical Systems.
SN Comput. Sci., 2023

Packed-Ensemble Surrogate Models for Fluid Flow Estimation Arround Airfoil Geometries.
CoRR, 2023

2022
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Regressing Image Sub-Population Distributions with Deep Learning.
Sensors, 2022

Carpet-bombing patch: attacking a deep network without usual requirements.
CoRR, 2022

Benchmarking and deeper analysis of adversarial patch attack on object detectors.
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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

What Could We Learn from Many Datasets in Remote Sensing Roof Semantic Segmentation?
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Solving Linear Programming While Tackling Number Representation Issues.
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.
, 2022

2021
SALAD: Self-Assessment Learning for Action Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Demotivate Adversarial Defense in Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
DISIR: Deep Image Segmentation with Interactive Refinement.
CoRR, 2020

Interactive Learning for Semantic Segmentation in Earth Observation.
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.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning-Based vs Model-Free Adaptive Control of a MAV Under Wind Gust.
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.
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.
Mach. Learn. Knowl. Extr., 2019

Solving linear program with Chubanov queries and bisection moves.
CoRR, 2019

Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Object Detection in Remote Sensing Images with Center Only.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Image Resolution Enhancement based on Curvelet Transform.
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.
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

2015
Tracking based sparse box proposal for time constraint detection in video stream.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks.
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).
PhD thesis, 2014

Simultaneous segmentation and classification of human actions in video streams using deeply optimized Hough transform.
Pattern Recognit., 2014

2013
A Region Driven and Contextualized Pedestrian Detector.
Proceedings of the VISAPP 2013, 2013

Skeleton Point Trajectories for Human Daily Activity Recognition.
Proceedings of the VISAPP 2013, 2013

Deeply Optimized Hough Transform: Application to Action Segmentation.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013


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