Papers
FairRAG: Fair Human Generation via Fair Retrieval Augmentation
Robik Shrestha, Yang Zou, Qiuyu Chen et al.
Fair-VPT: Fair Visual Prompt Tuning for Image Classification
Sungho Park, Hyeran Byun
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis
Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang et al.
FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion
George Cazenavette, Avneesh Sud, Thomas Leung et al.
Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
Pingping Zhang, Tianyu Yan, Yang Liu et al.
FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation
Chris Rockwell, Nilesh Kulkarni, Linyi Jin et al.
Fast Adaptation for Human Pose Estimation via Meta-Optimization
Shengxiang Hu, Huaijiang Sun, Bin Li et al.
FastMAC: Stochastic Spectral Sampling of Correspondence Graph
Yifei Zhang, Hao Zhao, Hongyang Li et al.
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
Zhenyu Zhou, Defang Chen, Can Wang et al.
FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences
Haobo Xu, Jun Zhou, Hua Yang et al.
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning
Qiwei Li, Yuxin Peng, Jiahuan Zhou
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
Shijie Zhou, Haoran Chang, Sicheng Jiang et al.
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
Wenhao Tang, Fengtao Zhou, Sheng Huang et al.
FedAS: Bridging Inconsistency in Personalized Federated Learning
Xiyuan Yang, Wenke Huang, Mang Ye
Federated Generalized Category Discovery
Nan Pu, Wenjing Li, Xingyuan Ji et al.
Federated Online Adaptation for Deep Stereo
Matteo Poggi, Fabio Tosi
FedHCA2: Towards Hetero-Client Federated Multi-Task Learning
Yuxiang Lu, Suizhi Huang, Yuwen Yang et al.
FedMef: Towards Memory-efficient Federated Dynamic Pruning
Hong Huang, Weiming Zhuang, Chen Chen et al.
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
Rishub Tamirisa, Chulin Xie, Wenxuan Bao et al.
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
Gihun Lee, Minchan Jeong, Sangmook Kim et al.
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
Ha Min Son, Moon-Hyun Kim, Tai-Myoung Chung et al.
Feedback-Guided Autonomous Driving
Jimuyang Zhang, Zanming Huang, Arijit Ray et al.
Few-shot Learner Parameterization by Diffusion Time-steps
Zhongqi Yue, Pan Zhou, Richang Hong et al.
Few-Shot Object Detection with Foundation Models
Guangxing Han, Ser-Nam Lim
FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models
Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos