Jong-Chyi Su | DeepAI

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∙ 02/28/2023

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data

Semi-supervised learning aims to train a model using limited labels. Sta...

0 Sangwoo Mo, et al. ∙

∙ 11/23/2022

Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation

Generating a video given the first several static frames is challenging ...

0 Tsu-Jui Fu, et al. ∙

∙ 11/23/2021

Semi-Supervised Learning with Taxonomic Labels

We propose techniques to incorporate coarse taxonomic labels to train im...

8 Jong-Chyi Su, et al. ∙

∙ 06/02/2021

The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop

Semi-iNat is a challenging dataset for semi-supervised classification wi...

12 Jong-Chyi Su, et al. ∙

∙ 04/01/2021

A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification

We evaluate the effectiveness of semi-supervised learning (SSL) on a rea...

19 Jong-Chyi Su, et al. ∙

∙ 03/11/2021

The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop

This document describes the details and the motivation behind a new data...

9 Jong-Chyi Su, et al. ∙

∙ 06/26/2020

Unsupervised Discovery of Object Landmarks via Contrastive Learning

Given a collection of images, humans are able to discover landmarks of t...

5 Zezhou Cheng, et al. ∙

∙ 10/08/2019

When Does Self-supervision Improve Few-shot Learning?

We present a technique to improve the generalization of deep representat...

19 Jong-Chyi Su, et al. ∙

∙ 06/17/2019

Boosting Supervision with Self-Supervision for Few-shot Learning

We present a technique to improve the transferability of deep representa...

6 Jong-Chyi Su, et al. ∙

∙ 04/16/2019

Active Adversarial Domain Adaptation

We propose an active learning approach for transferring representations ...

16 Jong-Chyi Su, et al. ∙

∙ 09/07/2018

A Deeper Look at 3D Shape Classifiers

We investigate the role of representations and architectures for classif...

0 Jong-Chyi Su, et al. ∙

∙ 04/01/2016

Adapting Models to Signal Degradation using Distillation

Model compression and knowledge distillation have been successfully appl...

0 Jong-Chyi Su, et al. ∙

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