Buu Phan

According to our database, Buu Phan authored at least 15 papers between 2018 and 2025.

Collaborative distances:

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

2025

Gumbel-max List Sampling for Distribution Coupling with Multiple Samples.

Joseph Rowan, Buu Phan, Ashish Khisti

CoRR, June, 2025

On Self-Adaptive Perception Loss Function for Sequential Lossy Compression.

Sadaf Salehkalaibar, Buu Phan, Likun Cai, Joao Atz Dick, Wei Yu, Jun Chen, Ashish Khisti

CoRR, February, 2025

Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles.

Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J. Muckley, Karen Ullrich

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Understanding and Mitigating Tokenization Bias in Language Models.

Buu Phan, Marton Havasi, Matthew J. Muckley, Karen Ullrich

CoRR, 2024

Importance Matching Lemma for Lossy Compression with Side Information.

Buu Phan, Ashish Khisti, Christos Louizos

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

On the choice of Perception Loss Function for Learned Video Compression.

Sadaf Salehkalaibar, Buu Phan, Jun Chen, Wei Yu, Ashish Khisti

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Adversarial Imaging Pipelines.

Buu Phan, Fahim Mannan, Felix Heide

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar.

Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output.

Vahdat Abdelzad, Krzysztof Czarnecki, Rick Salay, Taylor Denouden, Sachin Vernekar, Buu Phan

CoRR, 2019

Analysis of Confident-Classifiers for Out-of-distribution Detection.

Sachin Vernekar, Ashish Gaurav, Taylor Denouden, Buu Phan, Vahdat Abdelzad, Rick Salay, Krzysztof Czarnecki

CoRR, 2019

Bayesian Uncertainty Quantification with Synthetic Data.

Buu Phan, Samin Khan, Rick Salay, Krzysztof Czarnecki

Proceedings of the Computer Safety, Reliability, and Security, 2019

ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks.

Samin Khan, Buu Phan, Rick Salay, Krzysztof Czarnecki

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

2018

Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance.

Taylor Denouden, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Buu Phan, Sachin Vernekar

CoRR, 2018

Calibrating Uncertainties in Object Localization Task.

Buu Phan, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Taylor Denouden, Sachin Vernekar

CoRR, 2018

An Automated Vehicle Safety Concept Based on Runtime Restriction of the Operational Design Domain.

Ian Colwell, Buu Phan, Shahwar Saleem, Rick Salay, Krzysztof Czarnecki

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018