CVPR Papers
5,589 papers found • Page 75 of 112
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
Yuhang Chen, Wenke Huang, Mang Ye
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, Xinyuan 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
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning
Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Fine-Grained Bipartite Concept Factorization for Clustering
Chong Peng, Pengfei Zhang, Yongyong Chen et al.
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
Fan Zhang, Xian-Sheng Hua, Chong Chen et al.
FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment
Jinglin Xu, Sibo Yin, Guohao Zhao et al.
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models
Jinglin Xu, Yijie Guo, Yuxin Peng
FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions
Zhen Liu, Hao Zhu, Qi Zhang et al.
FineSports: A Multi-person Hierarchical Sports Video Dataset for Fine-grained Action Understanding
Jinglin Xu, Guohao Zhao, Sibo Yin et al.
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
Simon Weber, Thomas Dagès, Maolin Gao et al.
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures
Lisa Mais, Peter Hirsch, Claire Managan et al.
Fitting Flats to Flats
Gabriel Dogadov, Ugo Finnendahl, Marc Alexa
Fixed Point Diffusion Models
Luke Melas-Kyriazi, Xingjian Bai
FlashAvatar: High-fidelity Head Avatar with Efficient Gaussian Embedding
Jun Xiang, Xuan Gao, Yudong Guo et al.
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
LIn Zhao, Tianchen Zhao, Zinan Lin et al.
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball
Simon Weber, Barış Zöngür, Nikita Araslanov et al.
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
Yixiong Zou, Yicong Liu, Yiman Hu et al.
Flexible Biometrics Recognition: Bridging the Multimodality Gap through Attention Alignment and Prompt Tuning
Leslie Ching Ow Tiong, Dick Sigmund, Chen-Hui Chan et al.
Flexible Depth Completion for Sparse and Varying Point Densities
Jinhyung Park, Yu-Jhe Li, Kris Kitani
FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning
Junyuan Zhang, Shuang Zeng, Miao Zhang et al.
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
Bin Xiao, Haiping Wu, Weijian Xu et al.
FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models
Ao Luo, XIN LI, Fan Yang et al.
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
Dongyeong Hwang, Hyunju Kim, Sunwoo Kim et al.
Flow-Guided Online Stereo Rectification for Wide Baseline Stereo
Anush Kumar, Fahim Mannan, Omid Hosseini Jafari et al.
FlowIE: Efficient Image Enhancement via Rectified Flow
Yixuan Zhu, Wenliang Zhao, Ao Li et al.
FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking
Seokju Cho, Gabriel Huang, Seungryong Kim et al.