Deeply Optimized Hough Transform: Application to Action Segmentation. - Adrien Chan-Hon-Tong; Catherine Achard; Laurent Lucat (ICIAP (1), 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 (VISAPP (1), 2013)

A Region Driven and Contextualized Pedestrian Detector. - Thierry Chesnais; Thierry Chateau; Nicolas Allezard; Yoann Dhome; Boris Meden; Mohamed Tamaazousti; Adrien Chan-Hon-Tong (VISAPP (1), 2013)

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)

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 (2014)

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 (IGARSS, 2015)

Tracking based sparse box proposal for time constraint detection in video stream. - Adrien Chan-Hon-Tong; Stéphane Herbin (IPTA, 2015)

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; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Practical Scheduling of Computer Vision Functions. - Adrien Chan-Hon-Tong; Stéphane Herbin (VISIGRAPP (6: VISAPP), 2017)

Image Resolution Enhancement based on Curvelet Transform. - Zehira Haddad; Adrien Chan-Hon-Tong; Jaime López-Krahe (VISIGRAPP (4: VISAPP), 2017)

Object Detection in Remote Sensing Images with Center Only. - Adrien Chan-Hon-Tong; Nicolas Audebert (IGARSS, 2018)

Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth. - Rodrigo Caye Daudt; Adrien Chan-Hon-Tong; Bertrand Le Saux; Alexandre Boulch (IGARSS, 2019)

Solving linear program with Chubanov queries and bisection moves. - Adrien Chan-Hon-Tong (CoRR, 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)

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 (ICINCO, 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 (ICINCO (Selected Papers), 2020)

ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos. - Guillaume Vaudaux-Ruth; Adrien Chan-Hon-Tong; Catherine Achard (ICPR, 2020)

Symmetric adversarial poisoning against deep learning. - Adrien Chan-Hon-Tong (IPTA, 2020)

Interactive Learning for Semantic Segmentation in Earth Observation. - Gaston Lenczner; Adrien Chan-Hon-Tong; Nicola Luminari; Bertrand Le Saux; Guy Le Besnerais (MACLEAN@PKDD/ECML, 2020)

DISIR: Deep Image Segmentation with Interactive Refinement. - Gaston Lenczner; Bertrand Le Saux; Nicola Luminari; Adrien Chan-Hon-Tong; Guy Le Besnerais (CoRR, 2020)

Demotivate Adversarial Defense in Remote Sensing. - Adrien Chan-Hon-Tong; Gaston Lenczner; Aurélien Plyer (IGARSS, 2021)

SALAD: Self-Assessment Learning for Action Detection. - Guillaume Vaudaux-Ruth; Adrien Chan-Hon-Tong; Catherine Achard (WACV, 2021)

Contributions et perspectives pour l'amélioration de l'acceptabilité de l'apprentissage profond. - Adrien Chan-Hon-Tong (2022)

Solving Linear Programming While Tackling Number Representation Issues. - Adrien Chan-Hon-Tong (ICORES, 2022)

What Could We Learn from Many Datasets in Remote Sensing Roof Semantic Segmentation? - Safa Bousbih; Adrien Chan-Hon-Tong; Gaston Lenczner (IGARSS, 2022)

Weakly-Supervised Continual Learning for Class-Incremental Segmentation. - Gaston Lenczner; Adrien Chan-Hon-Tong; Nicola Luminari; Bertrand Le Saux (IGARSS, 2022)

Benchmarking and deeper analysis of adversarial patch attack on object detectors. - Pol Labarbarie; Adrien Chan-Hon-Tong; Stéphane Herbin; Milad Leyli-Abadi (AISafety@IJCAI, 2022)

Carpet-bombing patch: attacking a deep network without usual requirements. - Pol Labarbarie; Adrien Chan-Hon-Tong; Stéphane Herbin; Milad Leyli-Abadi (CoRR, 2022)

Regressing Image Sub-Population Distributions with Deep Learning. - Magdeleine Airiau; Adrien Chan-Hon-Tong; Robin W. Devillers; Guy Le Besnerais (Sensors, 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)

Packed-Ensemble Surrogate Models for Fluid Flow Estimation Arround Airfoil Geometries. - Anthony Kalaydjian; Anton Balykov; Alexi Semiz; Adrien Chan-Hon-Tong (CoRR, 2023)

A New Algorithm for Linear Programming in Critical Systems. - Adrien Chan-Hon-Tong (SN Comput. Sci., 2023)

Optimal transport based adversarial patch to leverage large scale attack transferability. - Pol Labarbarie; Adrien Chan-Hon-Tong; Stéphane Herbin; Milad Leyli-Abadi (ICLR, 2024)

StrikeNet: A Deep Neural Network to Predict Pixel-Sized Lightning Location. - Mélanie Bosc; Adrien Chan-Hon-Tong; Aurélie Bouchard; Dominique Béréziat (VISIGRAPP (3): VISAPP, 2025)

Deep Learning-Based Robust Optical Guidance for Hypersonic Platforms. - Adrien Chan-Hon-Tong; Aurélien Plyer; Baptiste Cadalen; Laurent Serre (CoRR, 2025)