activity
20192022
most citedCross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation

29 citations · 37 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022★ 2 cited

Vision Transformers are Parameter-Efficient Audio-Visual Learners

Yan-Bo Lin, Yi-Lin Sung, Jie Lei +2

Vision transformers (ViTs) have achieved impressive results on various computer vision tasks in the last several years. In this work, we study the capability of frozen ViTs, pretra…

cs.CV2022★ 2 cited

ECLIPSE: Efficient Long-range Video Retrieval using Sight and Sound

Yan-Bo Lin, Jie Lei, Mohit Bansal +1

We introduce an audiovisual method for long-range text-to-video retrieval. Unlike previous approaches designed for short video retrieval (e.g., 5-15 seconds in duration), our appro…

cs.SD2021

Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation

Yan-Bo Lin, Yu-Chiang Frank Wang

Human perceives rich auditory experience with distinct sound heard by ears. Videos recorded with binaural audio particular simulate how human receives ambient sound. However, a lar…

cs.CV2021★ 4 cited

Unsupervised Sound Localization via Iterative Contrastive Learning

Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee +2

Sound localization aims to find the source of the audio signal in the visual scene. However, it is labor-intensive to annotate the correlations between the signals sampled from the…

cs.CV2019★ 29 cited

Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation

Yu-Jhe Li, Ci-Siang Lin, Yan-Bo Lin +1

Person re-identification (re-ID) aims at recognizing the same person from images taken across different cameras. To address this challenging task, existing re-ID models typically r…

cs.CV2019

Dual-modality seq2seq network for audio-visual event localization

Yan-Bo Lin, Yu-Jhe Li, Yu-Chiang Frank Wang

Audio-visual event localization requires one to identify theevent which is both visible and audible in a video (eitherat a frame or video level). To address this task, we pro-pose…