About Me
Greetings! My name is Hoàng-Ân Lê. I am from Ho Chi Minh city, Vietnam.
I obtained the PhD degree in Computer Science in 2021 from the Computer Vision lab, University of Amsterdam under the supervision of Prof. Theo Gevers and Dr. Thomas Mensink. The doctoral study was fully funded by the EUHorizon 2020 program within the TrimBot2020 project. My doctoral thesis is titled Outdoor Image Understanding from Multiple Vision Modalities.
I have been a regular reviewer for several high-ranking conferences and journals, including CVPR (IEEE/CVF), BMVC (BMVA), WACV (IEEE/CVF), ACCV (AFCV), JSTARS (IEEE)
- [Aug 2024] Accepted paper. "Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning", joint work with Minh-Tan Pham and Paul Berg, is accepted for BMVC'24.
- [Apr 2024] Accepted paper. "Leveraging feature communication in federated learning for remote sensing image classification", joint work with Anh-Kiet Duong and Minh-Tan Pham, is accepted for IGARSS'24
- [Apr 2024] Accepted paper. "Leveraging knowledge distillation for partial multi-task learning from multiple remote sensing datasets", joint work with Minh-Tan Pham, is accepted for IGARSS'24
- [Aug 2023] Accepted paper. "Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data", joint work with Minh-Tan Pham, is accepted for BMVC'23.
- [Jul 2023] Accepted paper. "Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection", joint work with Minh-Tan Pham, is accepted for the ICCV'23 workshop LIMIT23.
- [Apr 2023] Accepted paper. "Knowledge Distillation for Object Detection: from generic to remote sensing datasets", joint work with Minh-Tan Pham, is accepted for IGARSS'23
- [BMVC 2022] Outstanding reviewer recognition! I'm recognized as one of the outstanding reviewrs for the BMVC 2022 conference.
- [Aug 2022] Accepted paper. "Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images", joint work with Zhang, Pham, Lefèvre, is accepted for Remote Sensing journal
- [Mar 2022] Accepted papers. "Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery", and "CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data" are accepted for XXIV ISPRS Congress.
- [Feb 2022] I am joining the ROMMEO project on "Robust multitask learning via mutual knowledge distillation for earth observation" working with Dr. Minh-Tan Pham
- [Sep 08th, 2021] Accepted paper. Our paper titled Automatic Generation of Dense Non-rigid Optical Flow, joint work with Nimbhorkar, Mensink, Baslamisli, Karaoglu, Gevers, is accepted for CVIU.
- [May 28th, 2021] Accepted paper. Anil's paper titled ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition, joint work with Das, Karaoglu, Gevers, is accepted for IJCV.
- [May 18th, 2021] I have successfully defended my doctoral thesis, titled Outdoor Image Understanding from Multiple Vision Modalities.
- [Jan 2021] I am joining the France Énergies Marine as a post doctoral researcher for development of artificial intelligence for multimodal analysis on the OWFSOMM project.
- [Nov 2020] Accepted paper. Our paper titled EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes, joint work with Das, Mensink, and Gevers, is accepted for WACV'21.
- [Oct 2020] Accepted paper. Our paper titled Object features and face detection performance: Analyses with 3D-rendered synthetic data, joint work with Han, Karaoglu, and Gevers, is accepted for ICPR'20.
- [Aug 2020] Accepted paper. Our paper titled Novel View Synthesis from Single Images via Point Cloud Transformation, joint work with Mensink, Das, and Gevers, is accepted for BMVC'20
- [Oct 2019] Being interviewed for the TrimBot2020 project's Human Face of Robotics and featured on the Newsletter of the UvA.
- [Jan 23rd, 2019] Accepted paper. Our paper discussing The Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion at ECCV'18 is now onlined, joint work with Tylecek, Sattler, Brox, Pollefeys, Fisher, and Gevers.
- [Jul 11th, 2018] Taking part in the challenge organizers of the ECCV'18 workshop 3D Reconstruction Meet Semantics
- [Jul 6th, 2018] Accepted paper. Our paper titled Three for one and one for three: Flow, Segmentation, and Surface Normal, joint work with Baslamisli, Mensink, and Gevers, is accepted for Oral presentation at BMVC'18 (acceptance rate 4.3%).
- [Jul 3rd, 2018] Accepted paper. Our paper titled Joint Learning of Intrinsic Images and Semantic Segmentation and Surface Normal, joint work with Baslamisli, Groenestege, Das, Karaoglu, and Gevers, is accepted for ECCV'18.
- [Feb 20th, 2018] Accepted paper. Our paper titled CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition, joint work with Baslamisli and Gevers, is accepted for CVPR'18.
- [Mar 31st, 2017] Our project hosts the ICCV'17 workshop named 3D Reconstruction Meet Semantics.
- [Oct 6th, 2016] Student volunteer for European Conference in Computer Vision (ECCV) 2016 in Amsterdam, the Netherlands.
- [Sep 1st, 2016] Visiting the University of Edinburgh, Scotland, UK for TrimBot2020 consortium | photo.
- [May 11th, 2016] Joining the TrimBot2020 consortium at the University of Groningen, the Netherlands | photo.
- [Apr 1st, 2016] Joining the Computer Vision lab, University of Amsterdam for PhD research on 3D Scene Understanding
- [Sep 1st, 2015] Graduate at EURECOM insitute, Télécom ParisTech with diplôme d'Ingénieur (Master of Science degree in Engineering)
- [Mar 1st, 2015] Visiting scholar at Coordinate Science Lab (CSL), University of Illinois at Urbana-Champaign, USA for 6-month graduation project.
Post-Doctoral Researcher
Doctoral Candidate 2016-2021
MSc in Engineering | diplôme d'Ingénieur 2012-2015
- Coordinated Science Lab, UIUC, USA
- Advisor Professor Minh Do
BSc in Computer Science2018-2012
- collaborating program with Portland State University, USA
- Advanced Program in Computer Science, coursework in English
- Advisor Assoc/Professor Minh-Triet Tran
Following is the list of the wonderful people with whom I have had a chance to work.
SUPERVISION
Publications
List of publications on Goole Scholar
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes
Hoàng-Ân Lê, Partha Das, Thomas Mensink, Theo Gevers arxiv | project page |Novel View Synthesis from Single Images via Point Cloud Transformation
Hoàng-Ân Lê, Thomas Mensink, Partha Das, Theo Gevers arxiv | project page |Three for one and one for three: Flow, Segmentation, and Surface Normals
Hoàng-Ân Lê, Anil Baslamisli, Thomas Mensink, Theo Gevers arxiv | project page |Joint Learning of Intrinsic Images and Semantic Segmentation
Anil S. Baslamisli, Thomas Tiel Groenestege, Partha Das, Hoàng-Ân Lê, Sezer Karaoglu, Theo Gevers arxiv | project page | code |CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition
Anil S. Baslamisli, Hoàng-Ân Lê, Theo Gevers arxiv | project page |JOURNALS
CONFERENCES
WORKSHOPS