activity
20192025
most citedDense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2025

ViSAGe: Video-to-Spatial Audio Generation

Jaeyeon Kim, Heeseung Yun, Gunhee Kim

Spatial audio is essential for enhancing the immersiveness of audio-visual experiences, yet its production typically demands complex recording systems and specialized expertise. In…

cs.CL2025

Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates

Jaewoo Ahn, Heeseung Yun, Dayoon Ko +1

While pre-trained multimodal representations (e.g., CLIP) have shown impressive capabilities, they exhibit significant compositional vulnerabilities leading to counterintuitive jud…

cs.CV2024

Spherical World-Locking for Audio-Visual Localization in Egocentric Videos

Heeseung Yun, Ruohan Gao, Ishwarya Ananthabhotla +6

Egocentric videos provide comprehensive contexts for user and scene understanding, spanning multisensory perception to behavioral interaction. We propose Spherical World-Locking (S…

cs.CV20231 cited

Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation

Heeseung Yun, Joonil Na, Gunhee Kim

Sound can convey significant information for spatial reasoning in our daily lives. To endow deep networks with such ability, we address the challenge of dense indoor prediction wit…

cs.CV2019

A Mobile Robot Generating Video Summaries of Seniors' Indoor Activities

Chih-Yuan Yang, Heeseung Yun, Srenavis Varadaraj +1

We develop a system which generates summaries from seniors' indoor-activity videos captured by a social robot to help remote family members know their seniors' daily activities at…