48 citations · 63 across the 8 of their papers we have counts for
8 papers
BAVS: Bootstrapping Audio-Visual Segmentation by Integrating Foundation Knowledge
Chen Liu, Peike Li, Hu Zhang +4
Given an audio-visual pair, audio-visual segmentation (AVS) aims to locate sounding sources by predicting pixel-wise maps. Previous methods assume that each sound component in an a…
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models
Peike Li, Boyu Chen, Yao Yao +3
Music generation has attracted growing interest with the advancement of deep generative models. However, generating music conditioned on textual descriptions, known as text-to-musi…
Audio-Visual Segmentation by Exploring Cross-Modal Mutual Semantics
Chen Liu, Peike Li, Xingqun Qi +4
The audio-visual segmentation (AVS) task aims to segment sounding objects from a given video. Existing works mainly focus on fusing audio and visual features of a given video to ac…
Dynamic Gradient Reactivation for Backward Compatible Person Re-identification
Xiao Pan, Hao Luo, Weihua Chen +6
We study the backward compatible problem for person re-identification (Re-ID), which aims to constrain the features of an updated new model to be comparable with the existing featu…
M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing
Zhikang Li, Huiling Zhou, Shuai Bai +3
The fashion industry has diverse applications in multi-modal image generation and editing. It aims to create a desired high-fidelity image with the multi-modal conditional signal a…
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation
Xiao Pan, Peike Li, Zongxin Yang +5
In this paper, we focus on unsupervised learning for Video Object Segmentation (VOS) which learns visual correspondence (i.e., the similarity between pixel-level features) from unl…
Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplar
Peike Li, Xin Yu, Yi Yang
Conventional face super-resolution methods usually assume testing low-resolution (LR) images lie in the same domain as the training ones. Due to different lighting conditions and i…
Self-Correction for Human Parsing
Peike Li, Yunqiu Xu, Yunchao Wei +1
Labeling pixel-level masks for fine-grained semantic segmentation tasks, e.g. human parsing, remains a challenging task. The ambiguous boundary between different semantic parts and…