Le, Hieu

28 publications

ICCV 2025 Counting Stacked Objects Corentin Dumery, Noa Etté, Aoxiang Fan, Ren Li, Jingyi Xu, Hieu Le, Pascal Fua

ICLR 2025 Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann

CVPR 2025 Few-Shot Personalized Scanpath Prediction Ruoyu Xue, Jingyi Xu, Sounak Mondal, Hieu Le, Greg Zelinsky, Minh Hoai, Dimitris Samaras

NeurIPS 2025 High Resolution UDF Meshing via Iterative Networks Federico Stella, Nicolas Talabot, Hieu Le, Pascal Fua

ICCV 2025 Importance-Based Token Merging for Efficient Image and Video Generation Haoyu Wu, Jingyi Xu, Hieu Le, Dimitris Samaras

WACV 2025 Learning to Count from Pseudo-Labeled Segmentation Jingyi Xu, Hieu Le, Dimitris Samaras

TMLR 2025 PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization Nicolas Talabot, Olivier Clerc, Arda Cinar Demirtas, Hieu Le, Doruk Oner, Pascal Fua

ICML 2025 QT-DoG: Quantization-Aware Training for Domain Generalization Saqib Javed, Hieu Le, Mathieu Salzmann

WACV 2025 Shadow Removal Refinement via Material-Consistent Shadow Edges Shilin Hu, Hieu Le, ShahRukh Athar, Sagnik Das, Dimitris Samaras

ECCV 2024 Assessing Sample Quality via the Latent Space of Generative Models Jingyi Xu, Hieu Le, Dimitris Samaras

ECCV 2024 Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-Scale Patch-Based Multi-Label Classifier Prantik Howlader, Srijan Das, Hieu Le, Dimitris Samaras

TMLR 2024 Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density Shuangqi Li, Chen Liu, Tong Zhang, Hieu Le, Sabine Susstrunk, Mathieu Salzmann

ICML 2024 Enabling Uncertainty Estimation in Iterative Neural Networks Nikita Durasov, Doruk Oner, Jonathan Donier, Hieu Le, Pascal Fua

CVPR 2024 Language-Driven Grasp Detection An Dinh Vuong, Minh Nhat Vu, Baoru Huang, Nghia Nguyen, Hieu Le, Thieu Vo, Anh Nguyen

ECCV 2024 Neural Surface Detection for Unsigned Distance Fields Federico Stella, Nicolas Talabot, Hieu Le, Pascal Fua

ECCV 2024 Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation Prantik Howlader, Hieu Le, Dimitris Samaras

TMLR 2024 ZigZag: Universal Sampling-Free Uncertainty Estimation Through Two-Step Inference Nikita Durasov, Nik Dorndorf, Hieu Le, Pascal Fua

WACV 2023 EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification Tien-Phat Nguyen, Trong-Thang Pham, Tri Nguyen, Hieu Le, Dung Nguyen, Hau Lam, Phong Nguyen, Jennifer Fowler, Minh-Triet Tran, Ngan Le

CVPR 2023 Generating Features with Increased Crop-Related Diversity for Few-Shot Object Detection Jingyi Xu, Hieu Le, Dimitris Samaras

CVPR 2023 Zero-Shot Object Counting Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras

CVPR 2022 Generating Representative Samples for Few-Shot Classification Jingyi Xu, Hieu Le

ICCV 2021 Variational Feature Disentangling for Fine-Grained Few-Shot Classification Jingyi Xu, Hieu Le, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras

ECCV 2020 From Shadow Segmentation to Shadow Removal Hieu Le, Dimitris Samaras

CVPRW 2019 Weakly Labeling the Antarctic: The Penguin Colony Case Hieu Le, Bento Collares Gonçalves, Dimitris Samaras, Heather J. Lynch

ECCV 2018 A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation Hieu Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras

ECCV 2018 Iterative Crowd Counting Viresh Ranjan, Hieu Le, Minh Hoai

ICCVW 2017 Co-Localization with Category-Consistent Features and Geodesic Distance Propagation Hieu Le, Chen-Ping Yu, Gregory J. Zelinsky, Dimitris Samaras

ICCV 2015 Efficient Video Segmentation Using Parametric Graph Partitioning Chen-Ping Yu, Hieu Le, Gregory Zelinsky, Dimitris Samaras