2025 Poster "image segmentation" Papers
13 papers found
ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation
Lingfeng Wang, Hualing Lin, Senda Chen et al.
NeurIPS 2025posterarXiv:2505.16495
2
citations
FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network
Fangtong Sun, Congyu Li, Ke Yang et al.
NeurIPS 2025posterarXiv:2510.23444
Frequency Dynamic Convolution for Dense Image Prediction
Linwei Chen, Lin Gu, Liang Li et al.
CVPR 2025posterarXiv:2503.18783
25
citations
LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision
Anthony Fuller, Yousef Yassin, Junfeng Wen et al.
NeurIPS 2025posterarXiv:2505.18051
1
citations
MambaOut: Do We Really Need Mamba for Vision?
Weihao Yu, Xinchao Wang
CVPR 2025posterarXiv:2405.07992
186
citations
Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration
Hongkang Zhang, Shao-Lun Huang, Ercan KURUOGLU et al.
NeurIPS 2025poster
Neural Tangent Knowledge Distillation for Optical Convolutional Networks
Jinlin Xiang, Minho Choi, Yubo Zhang et al.
NeurIPS 2025posterarXiv:2508.08421
1
citations
Personalized Representation from Personalized Generation
Shobhita Sundaram, Julia Chae, Yonglong Tian et al.
ICLR 2025posterarXiv:2412.16156
4
citations
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation
Yunxiang Fu, Meng Lou, Yizhou Yu
CVPR 2025posterarXiv:2412.11890
22
citations
Segment Any-Quality Images with Generative Latent Space Enhancement
Guangqian Guo, Yong Guo, Xuehui Yu et al.
CVPR 2025posterarXiv:2503.12507
4
citations
Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation
Luca Barsellotti, Lorenzo Bianchi, Nicola Messina et al.
ICCV 2025posterarXiv:2411.19331
22
citations
VSSD: Vision Mamba with Non-Causal State Space Duality
Yuheng Shi, Mingjia Li, Minjing Dong et al.
ICCV 2025posterarXiv:2407.18559
24
citations
What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
Guangkai Xu, yongtao ge, Mingyu Liu et al.
ICLR 2025posterarXiv:2403.06090
56
citations