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20212026
most citedImage-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning

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

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5 papers

cs.CV2026

Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation

Jongoh Jeong, Sun-Kyung Lee, Kuk-Jin Yoon

Vision-language dataset distillation (VLDD) compresses a large image-text paired dataset into a small set of synthetic pairs that can efficiently train contrastive vision-language…

cs.CV2023★ 2 cited

Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning

In-Ug Yoon, Tae-Min Choi, Sun-Kyung Lee +2

While many FSCIL studies have been undertaken, achieving satisfactory performance, especially during incremental sessions, has remained challenging. One prominent challenge is that…

cs.HC2023

Video Multimodal Emotion Recognition System for Real World Applications

Sun-Kyung Lee, Jong-Hwan Kim

This paper proposes a system capable of recognizing a speaker's utterance-level emotion through multimodal cues in a video. The system seamlessly integrates multiple AI models to f…

cs.CV2021★ 1 cited

Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution

Ue-Hwan Kim, Yewon Hwang, Sun-Kyung Lee +1

In this paper, we introduce a new benchmark dataset for the challenging writing in the air (WiTA) task -- an elaborate task bridging vision and NLP. WiTA implements an intuitive an…

cs.CV2021

ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments

Jin-Man Park, Jae-Hyuk Jang, Sahng-Min Yoo +3

We present a challenging dataset, ChangeSim, aimed at online scene change detection (SCD) and more. The data is collected in photo-realistic simulation environments with the presen…