activity
20162024
most citedENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

1k citations · 1k across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2024★ 1 cited

VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions

Seokha Moon, Hyun Woo, Hongbeen Park +6

Predicting future trajectories for other road agents is an essential task for autonomous vehicles. Established trajectory prediction methods primarily use agent tracks generated by…

cs.CV2023★ 1 cited

MEVG: Multi-event Video Generation with Text-to-Video Models

Gyeongrok Oh, Jaehwan Jeong, Sieun Kim +4

We introduce a novel diffusion-based video generation method, generating a video showing multiple events given multiple individual sentences from the user. Our method does not requ…

cs.CV2023

Clustering-based Image-Text Graph Matching for Domain Generalization

Nokyung Park, Daewon Chae, Jeongyong Shim +3

Learning domain-invariant visual representations is important to train a model that can generalize well to unseen target task domains. Recent works demonstrate that text descriptio…

cs.CV2023★ 3 cited

Soundini: Sound-Guided Diffusion for Natural Video Editing

Seung Hyun Lee, Sieun Kim, Innfarn Yoo +6

We propose a method for adding sound-guided visual effects to specific regions of videos with a zero-shot setting. Animating the appearance of the visual effect is challenging beca…

cs.CV2022

LISA: Localized Image Stylization with Audio via Implicit Neural Representation

Seung Hyun Lee, Chanyoung Kim, Wonmin Byeon +3

We present a novel framework, Localized Image Stylization with Audio (LISA) which performs audio-driven localized image stylization. Sound often provides information about the spec…

cs.CV2022

Robust Sound-Guided Image Manipulation

Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon +3

Recent successes suggest that an image can be manipulated by a text prompt, e.g., a landscape scene on a sunny day is manipulated into the same scene on a rainy day driven by a tex…