Hieu Le

Orcid: 0000-0001-7855-2778

Affiliations:
  • EPFL, Laussane, Switzerland
  • Amazon Robotics, MA, USA
  • Stony Brook University, Department of Computer Science, NY, USA


According to our database1, Hieu Le authored at least 29 papers between 2015 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference.
Trans. Mach. Learn. Res., 2024

Gradient Distance Function.
CoRR, 2024

Learning Frame-Wise Emotion Intensity for Audio-Driven Talking-Head Generation.
CoRR, 2024

Shadow Removal Refinement via Material-Consistent Shadow Edges.
CoRR, 2024

Generating Anatomically Accurate Heart Structures via Neural Implicit Fields.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enabling Uncertainty Estimation in Iterative Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Assessing Sample Quality via the Latent Space of Generative Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

Neural Surface Detection for Unsigned Distance Fields.
Proceedings of the Computer Vision - ECCV 2024, 2024

Weighting Pseudo-labels via High-Activation Feature Index Similarity and Object Detection for Semi-supervised Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond Pixels: Semi-supervised Semantic Segmentation with a Multi-scale Patch-Based Multi-label Classifier.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Zero-Shot Object Counting with Language-Vision Models.
CoRR, 2023

Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling.
CoRR, 2023

Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting.
CoRR, 2023

Generating Features with Increased Crop-Related Diversity for Few-Shot Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Zero-Shot Object Counting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Physics-Based Shadow Image Decomposition for Shadow Removal.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Generating Representative Samples for Few-Shot Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Temporal Feature Warping for Video Shadow Detection.
CoRR, 2021

Variational Feature Disentangling for Fine-Grained Few-Shot Classification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
From Shadow Segmentation to Shadow Removal.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Shadow Removal via Shadow Image Decomposition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Weakly Labeling the Antarctic: The Penguin Colony Case.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Iterative Crowd Counting.
Proceedings of the Computer Vision - ECCV 2018, 2018

A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
A+D-Net: Shadow Detection with Adversarial Shadow Attenuation.
CoRR, 2017

Co-localization with Category-Consistent Features and Geodesic Distance Propagation.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Co-localization with Category-Consistent CNN Features and Geodesic Distance Co-Propagation.
CoRR, 2016

Geodesic Distance Histogram Feature for Video Segmentation.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Efficient Video Segmentation Using Parametric Graph Partitioning.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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