Search Results for author: Huy Tran

Found 13 papers, 7 papers with code

Stereographic Spherical Sliced Wasserstein Distances

no code implementations4 Feb 2024 Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Rocio Diaz Martin, Soheil Kolouri

Comparing spherical probability distributions is of great interest in various fields, including geology, medical domains, computer vision, and deep representation learning.

Representation Learning Self-Supervised Learning

Partial Transport for Point-Cloud Registration

no code implementations27 Sep 2023 Yikun Bai, Huy Tran, Steven B. Damelin, Soheil Kolouri

In this paper, we approach the point-cloud registration problem through the lens of optimal transport theory and first propose a comprehensive set of non-rigid registration methods based on the optimal partial transportation problem.

Computational Efficiency Point Cloud Registration

PT$\mathrm{L}^{p}$: Partial Transport $\mathrm{L}^{p}$ Distances

no code implementations25 Jul 2023 Xinran Liu, Yikun Bai, Huy Tran, Zhanqi Zhu, Matthew Thorpe, Soheil Kolouri

In this paper, we introduce partial transport $\mathrm{L}^{p}$ distances as a new family of metrics for comparing generic signals, benefiting from the robustness of partial transport distances.

A Simplified Framework for Contrastive Learning for Node Representations

no code implementations1 May 2023 Ilgee Hong, Huy Tran, Claire Donnat

Contrastive learning has recently established itself as a powerful self-supervised learning framework for extracting rich and versatile data representations.

Contrastive Learning Data Augmentation +1

Is Multi-Task Learning an Upper Bound for Continual Learning?

no code implementations26 Oct 2022 Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri

Moreover, it is imaginable that when learning from multiple tasks, a small subset of these tasks could behave as adversarial tasks reducing the overall learning performance in a multi-task setting.

Continual Learning Multi-Task Learning +1

Fine-Grained Visual Classification using Self Assessment Classifier

1 code implementation21 May 2022 Tuong Do, Huy Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen

We show that by effectively addressing the ambiguity in the top-k prediction classes, our method achieves new state-of-the-art results on CUB200-2011, Stanford Dog, and FGVC Aircraft datasets.

Classification Continual Learning +1

WayFAST: Navigation with Predictive Traversability in the Field

1 code implementation22 Mar 2022 Mateus Valverde Gasparino, Arun Narenthiran Sivakumar, Yixiao Liu, Andres Eduardo Baquero Velasquez, Vitor Akihiro Hisano Higuti, John Rogers, Huy Tran, Girish Chowdhary

We present a self-supervised approach for learning to predict traversable paths for wheeled mobile robots that require good traction to navigate.


Coarse-to-Fine Reasoning for Visual Question Answering

2 code implementations6 Oct 2021 Binh X. Nguyen, Tuong Do, Huy Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen

Bridging the semantic gap between image and question is an important step to improve the accuracy of the Visual Question Answering (VQA) task.

Question Answering Visual Question Answering

Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge

1 code implementation4 Oct 2021 Minh Q. Tran, Tuong Do, Huy Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen

We design the student network such as it is light-weight and well suitable for deployment on a typical CPU.

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