GLAMpoints: Greedily Learned Accurate Match Points. - Prune Truong; Stefanos Apostolopoulos; Agata Mosinska; Samuel Stucky; Carlos Ciller; Sandro De Zanet (ICCV, 2019)

GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences. - Prune Truong; Martin Danelljan; Radu Timofte (CVPR, 2020)

GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network. - Prune Truong; Martin Danelljan; Luc Van Gool; Radu Timofte (NeurIPS, 2020)

Learning Accurate Dense Correspondences and When To Trust Them. - Prune Truong; Martin Danelljan; Luc Van Gool; Radu Timofte (CVPR, 2021)

Warp Consistency for Unsupervised Learning of Dense Correspondences. - Prune Truong; Martin Danelljan; Fisher Yu 001; Luc Van Gool (ICCV, 2021)

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. - Prune Truong; Martin Danelljan; Fisher Yu 001; Luc Van Gool (CVPR, 2022)

SPARF: Neural Radiance Fields from Sparse and Noisy Poses. - Prune Truong; Marie-Julie Rakotosaona; Fabian Manhardt; Federico Tombari (CVPR, 2023)

Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions. - David Brüggemann; Christos Sakaridis; Prune Truong; Luc Van Gool (WACV, 2023)

PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. - Prune Truong; Martin Danelljan; Radu Timofte; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Dense Matching with Limited Supervision and its Applications. - Prune Truong (2024)

One2Any: One-Reference 6D Pose Estimation for Any Object. - Mengya Liu; Siyuan Li 008; Ajad Chhatkuli; Prune Truong; Luc Van Gool; Federico Tombari (CVPR, 2025)

M2SVid: End-to-End Inpainting and Refinement for Monocular-to-Stereo Video Conversion. - Nina Shvetsova; Goutam Bhat; Prune Truong; Hilde Kuehne; Federico Tombari (CoRR, 2025)