activity
20232026
most citedSTARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events

7 citations · 10 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Odoriko: A Shape-Aware Multimodal Diffusion Framework for Human Motion

Dongseok Shim, Julian Tanke, Kengo Uchida +5

Human motion generation has been widely studied across diverse input modalities, text, music, and video, and recent efforts have unified these into single multimodal frameworks. Ho…

cs.SD2025★ 1 cited

Stereo Sound Event Localization and Detection with Onscreen/offscreen Classification

Kazuki Shimada, Archontis Politis, Iran R. Roman +10

This paper presents the objective, dataset, baseline, and metrics of Task 3 of the DCASE2025 Challenge on sound event localization and detection (SELD). In previous editions, the c…

cs.CV2025

Dyadic Mamba: Long-term Dyadic Human Motion Synthesis

Julian Tanke, Takashi Shibuya, Kengo Uchida +2

Generating realistic dyadic human motion from text descriptions presents significant challenges, particularly for extended interactions that exceed typical training sequence length…

cs.CV2024★ 1 cited

MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training

Kengo Uchida, Takashi Shibuya, Yuhta Takida +4

In text-to-motion generation, controllability as well as generation quality and speed has become increasingly critical. The controllability challenges include generating a motion o…

cs.LG2024★ 1 cited

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes

Yuhta Takida, Yukara Ikemiya, Takashi Shibuya +8

Vector quantization (VQ) is a technique to deterministically learn features with discrete codebook representations. It is commonly performed with a variational autoencoding model,…

cs.SD2023

Zero- and Few-shot Sound Event Localization and Detection

Kazuki Shimada, Kengo Uchida, Yuichiro Koyama +4

Sound event localization and detection (SELD) systems estimate direction-of-arrival (DOA) and temporal activation for sets of target classes. Neural network (NN)-based SELD systems…

cs.SD2023★ 7 cited

STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events

Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam +9

While direction of arrival (DOA) of sound events is generally estimated from multichannel audio data recorded in a microphone array, sound events usually derive from visually perce…