activity
20202026
most citedFeature Pyramid Attention based Residual Neural Network for Environmental Sound Classification

6 citations · 12 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

TemporalGS: Training-Free Plug-and-Play Acceleration for 3D Gaussian Splatting Rendering via Temporal Priors

Yuhongze Zhou, Zihao Yang, Xinxin Zuo +1

3D Gaussian Splatting (3DGS) has revolutionized novel-view synthesis with its fast and high-fidelity rendering. However, rendering at high FPS and low latency across various scenes…

cs.CV2026

CamDirector: Towards Long-Term Coherent Video Trajectory Editing

Zhihao Shi, Kejia Yin, Weilin Wan +5

Video (camera) trajectory editing aims to synthesize new videos that follow user-defined camera paths while preserving scene content and plausibly inpainting previously unseen regi…

cs.CV2025

IMFine: 3D Inpainting via Geometry-guided Multi-view Refinement

Zhihao Shi, Dong Huo, Yuhongze Zhou +4

Current 3D inpainting and object removal methods are largely limited to front-facing scenes, facing substantial challenges when applied to diverse, "unconstrained" scenes where the…

cs.CV20231 cited

Peer Learning for Unbiased Scene Graph Generation

Liguang Zhou, Junjie Hu, Yuhongze Zhou +2

Unbiased scene graph generation (USGG) is a challenging task that requires predicting diverse and heavily imbalanced predicates between objects in an image. To address this, we pro…

cs.SD20226 cited

Feature Pyramid Attention based Residual Neural Network for Environmental Sound Classification

Liguang Zhou, Yuhongze Zhou, Xiaonan Qi +3

Environmental sound classification (ESC) is a challenging problem due to the unstructured spatial-temporal relations that exist in the sound signals. Recently, many studies have fo…

eess.IV20212 cited

View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution

Yuhongze Zhou, Liguang Zhou, Tin Lun Lam +1

In recent years, self-supervised denoising methods have shown impressive performance, which circumvent painstaking collection procedure of noisy-clean image pairs in supervised den…