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20192024
most citedLabel Propagation Adaptive Resonance Theory for Semi-supervised Continuous Learning

5 citations · 8 across the 3 of their papers we have counts for

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cs.CV2024

Zero-Shot Vision-and-Language Navigation with Collision Mitigation in Continuous Environment

Seongjun Jeong, Gi-Cheon Kang, Joochan Kim +1

We propose the zero-shot Vision-and-Language Navigation with Collision Mitigation (VLN-CM), which takes these considerations. VLN-CM is composed of four modules and predicts the di…

cs.CV2024

Continual Vision-and-Language Navigation

Seongjun Jeong, Gi-Cheon Kang, Seongho Choi +2

Developing Vision-and-Language Navigation (VLN) agents typically assumes a \textit{train-once-deploy-once} strategy, which is unrealistic as deployed agents continually encounter n…

cs.CV20212 cited

Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering

Ahjeong Seo, Gi-Cheon Kang, Joonhan Park +1

Video Question Answering is a task which requires an AI agent to answer questions grounded in video. This task entails three key challenges: (1) understand the intention of various…

cs.CV20205 cited

Label Propagation Adaptive Resonance Theory for Semi-supervised Continuous Learning

Taehyeong Kim, Injune Hwang, Gi-Cheon Kang +3

Semi-supervised learning and continuous learning are fundamental paradigms for human-level intelligence. To deal with real-world problems where labels are rarely given and the oppo…

cs.CV2019

Dual Attention Networks for Visual Reference Resolution in Visual Dialog

Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang

Visual dialog (VisDial) is a task which requires an AI agent to answer a series of questions grounded in an image. Unlike in visual question answering (VQA), the series of question…