49 citations · 184 across the 40 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
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.…
Context-Preserving Instance-Level Augmentation and Deformable Convolution Networks for SAR Ship Detection
Taeyong Song, Sunok Kim, SungTai Kim +2
Shape deformation of targets in SAR image due to random orientation and partial information loss caused by occlusion of the radar signal, is an essential challenge in SAR ship dete…
Multi-domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution
Somi Jeong, Jiyoung Lee, Kwanghoon Sohn
Over the past few years, image-to-image (I2I) translation methods have been proposed to translate a given image into diverse outputs. Despite the impressive results, they mainly fo…
Memory-guided Image De-raining Using Time-Lapse Data
Jaehoon Cho, Seungryong Kim, Kwanghoon Sohn
This paper addresses the problem of single image de-raining, that is, the task of recovering clean and rain-free background scenes from a single image obscured by a rainy artifact.…