activity
20242026
most citedGeneralizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2026

GPU-Tile-Sim: A Tile-Centric GPU Simulation Framework for LLM Hardware-Software Co-Design

Yitong Ding, Jiawei Huang, Renyang Guan +7

Modern LLM (large language model) workloads increasingly rely on optimized GPU kernels through hardware-software co-design. These kernels achieve high-performance through fine-grai…

cs.AR2025

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space

Wenxuan Miao, Yulin Sun, Aiyue Chen +7

The recent surge in video generation has shown the growing demand for high-quality video synthesis using large vision models. Existing video generation models are predominantly bas…

cs.CV2024

RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing

Zhipeng Huang, Wangbo Yu, Xinhua Cheng +5

Indoor scene texture synthesis has garnered significant interest due to its important potential applications in virtual reality, digital media and creative arts. Existing diffusion…

cs.CV2024

CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection

Mingyi Guo, Yuyang Liu, Zhiyuan Yan +3

Incremental object detection is fundamentally challenged by catastrophic forgetting. A major factor contributing to this issue is background shift, where background categories in s…

cs.CV2024★ 2 cited

Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning

Zhiyuan Yan, Yandan Zhao, Shen Chen +5

Three key challenges hinder the development of current deepfake video detection: (1) Temporal features can be complex and diverse: how can we identify general temporal artifacts to…