activity
20192025
most citedSegGPT: Segmenting Everything In Context

62 citations · 86 across the 7 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

ReDDiT: Rehashing Noise for Discrete Visual Generation

Tianren Ma, Xiaosong Zhang, Boyu Yang +2

In the visual generative area, discrete diffusion models are gaining traction for their efficiency and compatibility. However, pioneered attempts still fall behind their continuous…

cs.CV2024

Correspondence-Guided SfM-Free 3D Gaussian Splatting for NVS

Wei Sun, Xiaosong Zhang, Fang Wan +4

Novel View Synthesis (NVS) without Structure-from-Motion (SfM) pre-processed camera poses--referred to as SfM-free methods--is crucial for promoting rapid response capabilities and…

cs.CV2023★ 62 cited

SegGPT: Segmenting Everything In Context

Xinlong Wang, Xiaosong Zhang, Yue Cao +3

We present SegGPT, a generalist model for segmenting everything in context. We unify various segmentation tasks into a generalist in-context learning framework that accommodates di…

cs.CV2022★ 12 cited

HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling

Xiaosong Zhang, Yunjie Tian, Wei Huang +4

Recently, masked image modeling (MIM) has offered a new methodology of self-supervised pre-training of vision transformers. A key idea of efficient implementation is to discard the…

cs.CV2022★ 2 cited

Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection

Feng Liu, Xiaosong Zhang, Zhiliang Peng +4

Modern object detectors have taken the advantages of backbone networks pre-trained on large scale datasets. Except for the backbone networks, however, other components such as the…

cs.CV2021★ 8 cited

Long-tailed Distribution Adaptation

Zhiliang Peng, Wei Huang, Zonghao Guo +3

Recognizing images with long-tailed distributions remains a challenging problem while there lacks an interpretable mechanism to solve this problem. In this study, we formulate Long…