6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Autoregressive Video Generation without Vector Quantization
Haoge Deng, Ting Pan, Haiwen Diao +6
This paper presents a novel approach that enables autoregressive video generation with high efficiency. We propose to reformulate the video generation problem as a non-quantized au…
cs.CV2024★ 6 cited
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection
Xing Liufu, Chaolei Tan, Xiaotong Lin +3
Edge labels are typically at various granularity levels owing to the varying preferences of annotators, thus handling the subjectivity of per-pixel labels has been a focal point fo…
cs.CV2024
Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation
Qun Li, Baoquan Sun, Fu Xiao +2
We propose Sym-Net, a novel framework for Few-Shot Segmentation (FSS) that addresses the critical issue of intra-class variation by jointly learning both query and support prototyp…