activity
20192026
most citedPin the Memory: Learning to Generalize Semantic Segmentation

6 citations · 22 across the 17 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CV2022

SimOn: A Simple Framework for Online Temporal Action Localization

Tuan N. Tang, Jungin Park, Kwonyoung Kim +1

Online Temporal Action Localization (On-TAL) aims to immediately provide action instances from untrimmed streaming videos. The model is not allowed to utilize future frames and any…

cs.CV2022

Language-free Training for Zero-shot Video Grounding

Dahye Kim, Jungin Park, Jiyoung Lee +2

Given an untrimmed video and a language query depicting a specific temporal moment in the video, video grounding aims to localize the time interval by understanding the text and vi…

cs.CV2022

PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation

Kwonyoung Kim, Jungin Park, Jiyoung Lee +2

Online stereo adaptation tackles the domain shift problem, caused by different environments between synthetic (training) and real (test) datasets, to promptly adapt stereo models i…

cs.CV2022★ 6 cited

Pin the Memory: Learning to Generalize Semantic Segmentation

Jin Kim, Jiyoung Lee, Jungin Park +2

The rise of deep neural networks has led to several breakthroughs for semantic segmentation. In spite of this, a model trained on source domain often fails to work properly in new…

cs.CV2022★ 5 cited

Probabilistic Representations for Video Contrastive Learning

Jungin Park, Jiyoung Lee, Ig-Jae Kim +1

This paper presents Probabilistic Video Contrastive Learning, a self-supervised representation learning method that bridges contrastive learning with probabilistic representation.…