Search Results for author: Yicheng Xiao

Found 8 papers, 6 papers with code

COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing

1 code implementation13 Jun 2024 Jiangshan Wang, Yue Ma, Jiayi Guo, Yicheng Xiao, Gao Huang, Xiu Li

Specifically, we propose an efficient sliding-window-based strategy to calculate the similarity among tokens in the diffusion features of source videos, identifying the tokens with high correspondence across frames.

Denoising Video Editing

GrootVL: Tree Topology is All You Need in State Space Model

1 code implementation4 Jun 2024 Yicheng Xiao, Lin Song, Shaoli Huang, Jiangshan Wang, Siyu Song, Yixiao Ge, Xiu Li, Ying Shan

The state space models, employing recursively propagated features, demonstrate strong representation capabilities comparable to Transformer models and superior efficiency.

Image Classification object-detection +1

1st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentation

1 code implementation1 Jan 2024 Zhuoyan Luo, Yicheng Xiao, Yong liu, Yitong Wang, Yansong Tang, Xiu Li, Yujiu Yang

The recent transformer-based models have dominated the Referring Video Object Segmentation (RVOS) task due to the superior performance.

Object Referring Video Object Segmentation +3

SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation

1 code implementation NeurIPS 2023 Zhuoyan Luo, Yicheng Xiao, Yong liu, Shuyan Li, Yitong Wang, Yansong Tang, Xiu Li, Yujiu Yang

To address this issue, we propose Semantic-assisted Object Cluster (SOC), which aggregates video content and textual guidance for unified temporal modeling and cross-modal alignment.

Ranked #2 on Referring Expression Segmentation on A2D Sentences (using extra training data)

cross-modal alignment Object +5

SemanticAC: Semantics-Assisted Framework for Audio Classification

no code implementations12 Feb 2023 Yicheng Xiao, Yue Ma, Shuyan Li, Hantao Zhou, Ran Liao, Xiu Li

In this paper, we propose SemanticAC, a semantics-assisted framework for Audio Classification to better leverage the semantic information.

Audio Classification Language Modelling

Knowledge Distillation for Oriented Object Detection on Aerial Images

no code implementations20 Jun 2022 Yicheng Xiao, Junpeng Zhang

Transferring the category information is achieved by knowledge distillation on predicted probability distribution, and a soft regression loss is adopted for handling displacement in location information transfer.

Knowledge Distillation Model Compression +4

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