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 42 papers between 2015 and 2025.

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

Timeline

Legend:

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Bibliography

2025
High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes.
CoRR, July, 2025

Learning to Weight Parameters for Data Attribution.
CoRR, June, 2025

Improving Contrastive Learning for Referring Expression Counting.
CoRR, May, 2025

Learning to Count from Pseudo-Labeled Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Shadow Removal Refinement via Material-Consistent Shadow Edges.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Few-shot Personalized Scanpath Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density.
Trans. Mach. Learn. Res., 2024

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

MedTet: An Online Motion Model for 4D Heart Reconstruction.
CoRR, 2024

Counting Stacked Objects from Multi-View Images.
CoRR, 2024

Importance-based Token Merging for Diffusion Models.
CoRR, 2024

Instance-Aware Generalized Referring Expression Segmentation.
CoRR, 2024

Gradient Distance Function.
CoRR, 2024

QT-DoG: Quantization-aware Training for Domain Generalization.
CoRR, 2024

Learning Frame-Wise Emotion Intensity for Audio-Driven Talking-Head Generation.
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
Efficient and Extensible Policy Mining for Relationship-Based Access Control.
Proceedings of the 24th ACM Symposium on Access Control Models and Technologies, 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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