Hieu Le

According to our database, Hieu Le authored at least 59 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Automated Counting of Stacked Objects in Industrial Inspection.

Corentin Dumery, Noa Etté, Aoxiang Fan, Ren Li, Jingyi Xu, Hieu Le, Pascal Fua

CoRR, March, 2026

LoRIF: Low-Rank Influence Functions for Scalable Training Data Attribution.

Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann

CoRR, January, 2026

CORA: Consistency-Guided Semi-Supervised Framework for Reasoning Segmentation.

Prantik Howlader, Hoang Nguyen-Canh, Srijan Das, Jingyi Xu, Hieu Le, Dimitris Samaras

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Personalized Image Descriptions from Attention Sequences.

Ruoyu Xue, Hieu Le, Jingyi Xu, Sounak Mondal, Abe Leite, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras

CoRR, December, 2025

Physics-Grounded Attached Shadow Detection Using Approximate 3D Geometry and Light Direction.

Shilin Hu, Jingyi Xu, Sagnik Das, Dimitris Samaras, Hieu Le

CoRR, December, 2025

Physics-Grounded Shadow Generation from Monocular 3D Geometry Priors and Approximate Light Direction.

Shilin Hu, Jingyi Xu, Akshat Dave, Dimitris Samaras, Hieu Le

CoRR, December, 2025

One Attention, One Scale: Phase-Aligned Rotary Positional Embeddings for Mixed-Resolution Diffusion Transformer.

Haoyu Wu, Jingyi Xu, Qiaomu Miao, Dimitris Samaras, Hieu Le

CoRR, November, 2025

PrIntMesh: Precise Intersection Surfaces for 3D Organ Mesh Reconstruction.

Deniz Sayin Mercadier, Hieu Le, Yihong Chen, Jiancheng Yang, Udaranga Wickramasinghe, Pascal Fua

CoRR, November, 2025

DiffSwap++: 3D Latent-Controlled Diffusion for Identity-Preserving Face Swapping.

Weston Bondurant, Arkaprava Sinha, Hieu Le, Srijan Das, Stephanie Schuckers

CoRR, November, 2025

Dataset for "PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization".

Nicolas Talabot, Olivier Clerc, Arda Cinar Demirtas, Alexis Goujon, Hieu Le, Doruk Öner, Pascal Fua

Dataset, October, 2025

Talking Head Generation via AU-Guided Landmark Prediction.

Shao-Yu Chang, Jingyi Xu, Hieu Le, Dimitris Samaras

CoRR, September, 2025

End-to-End 4D Heart Mesh Recovery Across Full-Stack and Sparse Cardiac MRI.

Yihong Chen, Jiancheng Yang, Deniz Sayin Mercadier, Hieu Le, Juerg Schwitter, Pascal Fua

CoRR, September, 2025

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes.

Aoxiang Fan, Corentin Dumery, Nicolas Talabot, Hieu Le, Pascal Fua

CoRR, July, 2025

Learning to Weight Parameters for Data Attribution.

Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann

CoRR, June, 2025

Improving Contrastive Learning for Referring Expression Counting.

Kostas Triaridis, Panagiotis Kaliosis, E-Ro Nguyen, Jingyi Xu, Hieu Le, Dimitris Samaras

CoRR, May, 2025

PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization.

Nicolas Talabot, Olivier Clerc, Arda Cinar Demirtas, Hieu Le, Doruk Öner, Pascal Fua

Trans. Mach. Learn. Res., 2025

Learning to Count from Pseudo-Labeled Segmentation.

Jingyi Xu, Hieu Le, Dimitris Samaras

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Shadow Removal Refinement via Material-Consistent Shadow Edges.

Shilin Hu, Hieu Le, ShahRukh Athar, Sagnik Das, Dimitris Samaras

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

High Resolution UDF Meshing via Iterative Networks.

Federico Stella, Nicolas Talabot, Hieu Le, Pascal Fua

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling.

Hieu Le, Jingyi Xu, Nicolas Talabot, Jiancheng Yang, Pascal Fua

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

QT-DoG: Quantization-Aware Training for Domain Generalization.

Saqib Javed, Hieu Le, Mathieu Salzmann

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds.

Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Importance-Based Token Merging for Efficient Image and Video Generation.

Haoyu Wu, Jingyi Xu, Hieu Le, Dimitris Samaras

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Counting Stacked Objects.

Corentin Dumery, Noa Etté, Aoxiang Fan, Ren Li, Jingyi Xu, Hieu Le, Pascal Fua

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Few-shot Personalized Scanpath Prediction.

Ruoyu Xue, Jingyi Xu, Sounak Mondal, Hieu Le, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras

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.

Shuangqi Li, Chen Liu, Tong Zhang, Hieu Le, Sabine Süsstrunk, Mathieu Salzmann

Trans. Mach. Learn. Res., 2024

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference.

Nikita Durasov, Nik Dorndorf, Hieu Le, Pascal Fua

Trans. Mach. Learn. Res., 2024

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

Yihong Chen, Jiancheng Yang, Deniz Sayin Mercadier, Hieu Le, Pascal Fua

CoRR, 2024

Counting Stacked Objects from Multi-View Images.

Corentin Dumery, Noa Etté, Jingyi Xu, Aoxiang Fan, Ren Li, Hieu Le, Pascal Fua

CoRR, 2024

Importance-based Token Merging for Diffusion Models.

Haoyu Wu, Jingyi Xu, Hieu Le, Dimitris Samaras

CoRR, 2024

Instance-Aware Generalized Referring Expression Segmentation.

E-Ro Nguyen, Hieu Le, Dimitris Samaras, Michael S. Ryoo

CoRR, 2024

Gradient Distance Function.

Hieu Le, Federico Stella, Benoît Guillard, Pascal Fua

CoRR, 2024

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

Jingyi Xu, Hieu Le, Zhixin Shu, Yang Wang, Yi-Hsuan Tsai, Dimitris Samaras

CoRR, 2024

Generating Anatomically Accurate Heart Structures via Neural Implicit Fields.

Jiancheng Yang, Ekaterina Sedykh, Jason Ken Adhinarta, Hieu Le, Pascal Fua

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enabling Uncertainty Estimation in Iterative Neural Networks.

Nikita Durasov, Doruk Öner, Jonathan Donier, Hieu Le, Pascal Fua

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Assessing Sample Quality via the Latent Space of Generative Models.

Jingyi Xu, Hieu Le, Dimitris Samaras

Proceedings of the Computer Vision - ECCV 2024, 2024

Neural Surface Detection for Unsigned Distance Fields.

Federico Stella, Nicolas Talabot, Hieu Le, Pascal Fua

Proceedings of the Computer Vision - ECCV 2024, 2024

Weighting Pseudo-labels via High-Activation Feature Index Similarity and Object Detection for Semi-supervised Segmentation.

Prantik Howlader, Hieu Le, Dimitris Samaras

Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond Pixels: Semi-supervised Semantic Segmentation with a Multi-scale Patch-Based Multi-label Classifier.

Prantik Howlader, Srijan Das, Hieu Le, Dimitris Samaras

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Zero-Shot Object Counting with Language-Vision Models.

Jingyi Xu, Hieu Le, Dimitris Samaras

CoRR, 2023

Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling.

Hieu Le, Nicolas Talabot, Jiancheng Yang, Pascal Fua

CoRR, 2023

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

Jingyi Xu, Hieu Le, Dimitris Samaras

CoRR, 2023

Generating Features with Increased Crop-Related Diversity for Few-Shot Object Detection.

Jingyi Xu, Hieu Le, Dimitris Samaras

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Zero-Shot Object Counting.

Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Physics-Based Shadow Image Decomposition for Shadow Removal.

Hieu Le, Dimitris Samaras

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Generating Representative Samples for Few-Shot Classification.

Jingyi Xu, Hieu Le

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Temporal Feature Warping for Video Shadow Detection.

Shilin Hu, Hieu Le, Dimitris Samaras

CoRR, 2021

Variational Feature Disentangling for Fine-Grained Few-Shot Classification.

Jingyi Xu, Hieu Le, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

From Shadow Segmentation to Shadow Removal.

Hieu Le, Dimitris Samaras

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Efficient and Extensible Policy Mining for Relationship-Based Access Control.

Thang Bui, Scott D. Stoller, Hieu Le

Proceedings of the 24th ACM Symposium on Access Control Models and Technologies, 2019

Shadow Removal via Shadow Image Decomposition.

Hieu Le, Dimitris Samaras

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Weakly Labeling the Antarctic: The Penguin Colony Case.

Hieu Le, Bento Collares Gonçalves, Dimitris Samaras, Heather J. Lynch

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Iterative Crowd Counting.

Viresh Ranjan, Hieu Le, Minh Hoai

Proceedings of the Computer Vision - ECCV 2018, 2018

A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation.

Hieu Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

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

Hieu Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras

CoRR, 2017

Co-localization with Category-Consistent Features and Geodesic Distance Propagation.

Hieu Le, Chen-Ping Yu, Gregory J. Zelinsky, Dimitris Samaras

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.

Hieu Le, Chen-Ping Yu, Gregory J. Zelinsky, Dimitris Samaras

CoRR, 2016

Geodesic Distance Histogram Feature for Video Segmentation.

Hieu Le, Vu Nguyen, Chen-Ping Yu, Dimitris Samaras

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Efficient Video Segmentation Using Parametric Graph Partitioning.

Chen-Ping Yu, Hieu Le, Gregory J. Zelinsky, Dimitris Samaras

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015