323 citations · 600 across the 9 of their papers we have counts for
9 papers
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection
Phi Vu Tran
While modern visual recognition systems have made significant advancements, many continue to struggle with the open problem of learning from few exemplars. This paper focuses on th…
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection
Phi Vu Tran
Few-shot object detection (FSOD) is a challenging problem aimed at detecting novel concepts from few exemplars. Existing approaches to FSOD all assume abundant base labels to adapt…
SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama
Phi Vu Tran
Recent years have seen flourishing research on both semi-supervised learning and 3D room layout reconstruction. In this work, we explore the intersection of these two fields to adv…
ModelHub.AI: Dissemination Platform for Deep Learning Models
Ahmed Hosny, Michael Schwier, Christoph Berger +13
Recent advances in artificial intelligence research have led to a profusion of studies that apply deep learning to problems in image analysis and natural language processing among…
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning
Phi Vu Tran
Recent advances in semi-supervised learning have shown tremendous potential in overcoming a major barrier to the success of modern machine learning algorithms: access to vast amoun…
Multi-Task Graph Autoencoders
Phi Vu Tran
We examine two fundamental tasks associated with graph representation learning: link prediction and node classification. We present a new autoencoder architecture capable of learni…