activity
20162024
most citedMarioQA: Answering Questions by Watching Gameplay Videos

7 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 1 cited

A Simple Baseline with Single-encoder for Referring Image Segmentation

Seonghoon Yu, Ilchae Jung, Byeongju Han +4

Referring image segmentation (RIS) requires dense vision-language interactions between visual pixels and textual words to segment objects based on a given description. However, com…

cs.CV2022

Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking

Ilchae Jung, Minji Kim, Eunhyeok Park +1

This paper presents a novel hybrid representation learning framework for streaming data, where an image frame in a video is modeled by an ensemble of two distinct deep neural netwo…

cs.CV2019★ 4 cited

Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning

Ilchae Jung, Kihyun You, Hyeonwoo Noh +2

We propose a novel meta-learning framework for real-time object tracking with efficient model adaptation and channel pruning. Given an object tracker, our framework learns to fine-…

cs.CV2018

Real-Time MDNet

Ilchae Jung, Jeany Son, Mooyeol Baek +1

We present a fast and accurate visual tracking algorithm based on the multi-domain convolutional neural network (MDNet). The proposed approach accelerates feature extraction proced…

cs.CV2016★ 7 cited

MarioQA: Answering Questions by Watching Gameplay Videos

Jonghwan Mun, Paul Hongsuck Seo, Ilchae Jung +1

We present a framework to analyze various aspects of models for video question answering (VideoQA) using customizable synthetic datasets, which are constructed automatically from g…