activity
20222026
most citedCLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning

7 citations · 7 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SD2026

Geometry-Informed Distributed Acoustic Scene Understanding

Yiyuan Yang, Shitong Xu, Niki Trigoni +1

Acoustic scene understanding in multi-room environments is a difficult task. Most existing systems use a single centralized microphone array, and they often fail because walls and…

cs.RO2026

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding

Chenyang Ma, Kai Lu, Guangyu Yang +6

Current work on robot failure detection and correction typically operates in a post hoc manner, analyzing errors and applying corrections only after failures occur. This work intro…

cs.SD2025

Efficient and Microphone-Fault-Tolerant 3D Sound Source Localization

Yiyuan Yang, Shitong Xu, Niki Trigoni +1

Sound source localization (SSL) is a critical technology for determining the position of sound sources in complex environments. However, existing methods face challenges such as hi…

cs.SD2025

Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments

Shitong Xu, Yiyuan Yang, Niki Trigoni +1

Target speaker extraction focuses on isolating a specific speaker's voice from an audio mixture containing multiple speakers. To provide information about the target speaker's iden…

cs.SD2024

SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field

Yuhang He, Shitong Xu, Jia-Xing Zhong +3

We present SPEAR, a continuous receiver-to-receiver acoustic neural warping field for spatial acoustic effects prediction in an acoustic 3D space with a single stationary audio sou…

cs.CV2022★ 7 cited

CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning

Shitong Xu

Image captioning task has been extensively researched by previous work. However, limited experiments focus on generating captions based on non-autoregressive text decoder. Inspired…