output
20202026
most cited"May I Speak?": Multi-modal Attention Guidance in Social VR Group Conversations

14 citations

8 papers

cs.DC2026★ 1 cited

LayoutBench: Performance Benchmarking of Cloud Storage Layouts for Multimedia Data

Debopam Sanyal, Hongjie Chen, Alexey Tumanov +1

Modern multimedia machine learning workloads increasingly store large-scale datasets in cloud object storage services such as AWS S3. How these samples are physically organized in…

cs.CV2026

Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis

Runzhou Liu, Hailey Weingord, Sejal Mittal +18

Evaluating image editing models remains challenging due to the coarse granularity and limited interpretability of traditional metrics, which often fail to capture aspects important…

cs.GR2025

SMF: Template-free and Rig-free Animation Transfer using Kinetic Codes

Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Niloy J. Mitra

Animation retargetting applies sparse motion description (e.g., keypoint sequences) to a character mesh to produce a semantically plausible and temporally coherent full-body mesh s…

cs.SD2024★ 4 cited

Diff-SAGe: End-to-End Spatial Audio Generation Using Diffusion Models

Saksham Singh Kushwaha, Jianbo Ma, Mark R. P. Thomas +2

Spatial audio is a crucial component in creating immersive experiences. Traditional simulation-based approaches to generate spatial audio rely on expertise, have limited scalabilit…

cs.SD2024★ 1 cited

Audio Match Cutting: Finding and Creating Matching Audio Transitions in Movies and Videos

Dennis Fedorishin, Lie Lu, Srirangaraj Setlur +1

A "match cut" is a common video editing technique where a pair of shots that have a similar composition transition fluidly from one to another. Although match cuts are often visual…

cs.HC2024★ 14 cited

"May I Speak?": Multi-modal Attention Guidance in Social VR Group Conversations

Geonsun Lee, Dae Yeol Lee, Guan-Ming Su +1

In this paper, we present a novel multi-modal attention guidance method designed to address the challenges of turn-taking dynamics in meetings and enhance group conversations withi…

cs.SD2021★ 6 cited

Multichannel-based learning for audio object extraction

Daniel Arteaga, Jordi Pons

The current paradigm for creating and deploying immersive audio content is based on audio objects, which are composed of an audio track and position metadata. While rendering an ob…

cs.SD2020

Less is more: Faster and better music version identification with embedding distillation

Furkan Yesiler, Joan Serrà, Emilia Gómez

Version identification systems aim to detect different renditions of the same underlying musical composition (loosely called cover songs). By learning to encode entire recordings i…