Hieu Le

Hieu Le (Minh Hiếu Lê)

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

Computer Vision Lab - SBU
Department of Computer Science, Stony Brook University
NCS 134, 100 Nicolls Rd, Stony Brook, NY 11794

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

[2023] Two papers accepted at CVPR2023: 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 PAMI 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] Finish my Ph.D.

[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

	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 Project Page [Live demo (need to disable adblock)] results ]
	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]