Hieu Le

Hieu Le (Minh Hiếu Lê)

Computer Vision Lab - EPFL
BC300, Faculté Informatique et Communications – IC
Ecole Polytechnique Fédérale de Lausanne – EPFL

Email: hle@cs.stonybrook.edu
[Google Scholar] [Github]

I am a postdoc at CVLab EPFL working with Prof. Pascal Fua. Prior to joining EPFL, I obtained my Ph.D. in computer science from Stony Brook Univeristy working with Prof. Dimitris Samaras and was an applied scientist at Amazon Robotics - Boston.

News

[2024] 2 papers are accepted at WACV 2025: Material-consistent-Shadow-Edges, Multi-Class Object-Counting.

[2024] Pseudo-Density has been accepted to TMLR. Similar to Latent-Density-Score, this paper reveils the learning mechanism of generative models.

[2024] 4 papers are accepted at ECCV 2024: Latent-Density-Score, Neural-Surface-Localization, Pseudo-Pixel-Weighting, Beyond-Pixels.

[2024] A paper on 3D heart generation is accepted at MICCAI 2024.

[2024] Our paper on uncertainty estimation is accepted at ICML 2024.

[2024] Zigzag is accepted by TMLR. Zigzag is an universal uncertainty estimation method that requires only 2 inference passes.

[2023] Two papers accepted at CVPR 2023: Zero-shot Object Counting and Few-shot Object Detection

[2023] I was selected as an outstanding reviewer at ACCV2022.

[2022] Our paper on Few-shot Classification via Generating Representative Prototypes is accepted at CVPR 2022.

[2022] Our journal paper on Physics-based Shadow Removal is accepted by TPAMI 2022.

[2022] Our journal paper on detecting penguin colony from satellite images is accepted by Remote Sensing 2022.

[2021] Our paper on Few-shot classification is accepted at ICCV 2021.

[2021] Outstanding Reviewer - CVPR2021

[2020] Ph.Done

[2020] Outstanding Reviewer - ECCV2020

[2020] Our paper on weakly-supervised shadow removal is accepted at ECCV 2020. Project Page

[2019] Our paper on shadow removal is accepted at ICCV 19. Project Page

[2019] Our paper on semi-supervised segmentation is accepted at CVPR 2019 - CV4GC.

[2019] Our paper on Policy Mining using Neural Network is accepted at SACMAT 2019.

[2018] Two papers accepted at ECCV2018: ADNet for shadow detection and Iteractive Crowd Counting.

[2017] Our paper on object co-localization has been accepted at ICCV 2017, Workshop on CEFRL, Venice Italy

[2017] Our poster on object co-localization will be presented at VSS 2017 (Florida - US). [poster]

[2016] Geodesic features for video segmentation has been accepted at ACCV 2016.

Selected Publications

	Learning to Count from Pseudo-Labeled Segmentation Jingyi Xu, Hieu Le, Dimitris Samaras Winter Conference on Applications of Computer Vision (WACV), 2025. [ Preprint]
	Shadow Removal Refinement via Material-Consistent Shadow Edges Shilin Hu, Hieu Le, ShahRukh Athar, Sagnik Das, Dimitris Samaras Winter Conference on Applications of Computer Vision (WACV), 2025. [ Preprint]
	Assessing Sample Quality via the Latent Space of Generative Models Jingyi Xu, Hieu Le, Dimitris Samaras European Conference on Computer Vision (ECCV), 2024. [ Preprint] [ Code] [ Project Page]
	Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density Shuangqi Li, Chen Liu, Tong Zhang, Hieu Le, Sabine Susstrunk, Mathieu Salzmann European Conference on Computer Vision (TMLR), 2024. [ Openreview]
	Neural Surface Localization for Unsigned Distance Fields Federico Stella, Nicolas Talabot, Hieu Le, Pascal Fua European Conference on Computer Vision (ECCV), 2024. [ Preprint] [ Project Page]
	Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation Prantik Howlader, Hieu Le, Dimitris Samaras European Conference on Computer Vision (ECCV), 2024. [ Preprint] [ Code]
	Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier Prantik Howlader, Srijan Das, Hieu Le, Dimitris Samaras European Conference on Computer Vision (ECCV), 2024. [ Preprint] [ Code]
	Enabling Uncertainty Estimation in Iterative Neural Networks Nikita Durasov, Doruk Oner, Jonathan Donier, Hieu Le, Pascal Fua International Conference on Machine Learning (ICML), 2024. [ Preprint] [ Code]
	Zigzag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference Nikita Durasov,Nik Dorndorf, Hieu Le, Pascal Fua Transactions on Machine Learning Research (TMLR), 2024. [ Openreview] [ Code]
	Zero-Shot Object Counting Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [ Code] [ Stable-Diffusion extension]
	Generating Features With Increased Crop-related Diversity For Few-shot Object Detection Jingyi Xu, Hieu Le, Dimitris Samaras IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [ Code (TBD)]
	Generating Representative Samples for Few-Shot Classification Jingyi Xu, Hieu Le IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [Code] [Paper ] [ Blog post ]
	Physics-based Shadow Image Decomposition for Shadow Removal Hieu Le, Dimitris Samaras. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. [Github ] [Paper ]
	A convolutional neural network architecture designed for the automated survey of seabird colonies Hieu Le, Dimitris Samaras, Heather J. Lynch Remote Sensing in Ecology and Conservation , 2022. [Paper ]
	Variational Feature Disentangling for Fine-Grained Few-Shot Classification Jingyi Xu, Hieu Le, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras. IEEE International Conference on Computer Vision (ICCV), 2021. [PyTorch Code]
	Aerial-trained deep learning networks for surveying cetaceans from satellite imagery Alex Borowicz, Hieu Le, Grant Humphries, Georg Nehls, Caroline Hoschle, Vladislav Kosarev, Heather J. Lynch Plos One , 2019. [Paper ]
	From Shadow Segmentation to Shadow Removal Hieu Le, Dimitris Samaras. European Conference on Computer Vision (ECCV), 2020. [ Paper Project Page ]
	Shadow Removal via Shadow Image Decomposition Hieu Le, Dimitris Samaras. International Conference on Computer Vision (ICCV), 2019. [Paper Project Page ]
	Weakly Labeling the Antarctic: The Penguin Colony Case Hieu Le, Bento Gonçalves, Dimitris Samaras, Heather Lynch. IEEE Conference on Computer Vision and Pattern Recognition - Workshop (CVPRW), 2019. [Paper ]
	A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation. Hieu Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras. European Conference on Computer Vision (ECCV), 2018. [Paper]
	Iterative Crowd Counting. Viresh Ranjan, Hieu Le, and Minh Hoai. European Conference on Computer Vision (ECCV), 2018. [Paper]
	Co-localization with Category-Consistent CNN Features and Geodesic Distance Propagation Hieu Le, Chen-Ping Yu, Gregory Zelinsky, Dimitris Samaras. International Conference on Computer Vision - Workshop (ICCVW), 2017. [Paper]
	Geodesic Distance Histogram Feature for Video Segmentation Hieu Le, Vu Nguyen, Chen-Ping Yu, Dimitris Samaras Asian Conference on Computer Vision (ACCV), 2016. [[link] [Paper] [Poster] ]
	Efficient video segmentation using parametric graph partitioning Chen-Ping Yu, Hieu Le, Gregory Zelinsky, Dimitris Samaras International Conference on Computer Vision (ICCV), 2015. [ paper]