Paper-Conference

Imbuing, Enrichment and Calibration: Leveraging Language for Unseen Domain Extension

Chenyi Jiang, Jianqin Zhao, Jingjing Deng, Zechao Li, Haofeng Zhang

Incremental Model Enhancement via Memory-based Contrastive Learning

Shiyu Xuan, Ming Yang, Shiliang Zhang

Learning Deblurring Texture Prior from Unpaired Data with Diffusion Model

Chengxu Liu, Lu Qi, Jinshan Pan, Xueming Qian, Ming-Hsuan Yang

NoiseCtrl: A Sampling-Algorithm-Agnostic Conditional Generation Method for Diffusion Models

Longquan Dai, He Wang, Jinhui Tang

PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution

Yong Liu, Hang Dong, Jinshan Pan, Qingji Dong, Kai Chen, Rongxiang Zhang, Lean Fu, Fei Wang

Plenodium: UnderWater 3D Scene Reconstruction with Plenoptic Medium Representation

Changguanng Wu, Jiangxin Dong, Chengjian Li, Jinhui Tang

Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks

Jiawei Gu, Ziyue Qiao, Zechao Li

Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening

Jiawei Gu, Ziyue Qiao, Xinming Li, Zechao Li

Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection

Gensheng Pei, Tao Chen, Yujia Wang, Xinhao Cai, Xiangbo Shu, Tianfei Zhou, Yazhou Yao

Tensor-aggregated LoRA in Federated Fine-tuning

Zhixuan Li, Binqian Xu, Xiangbo Shu, Jiachao Zhang, Yazhou Yao, Guo-Sen Xie, Jinhui Tang