Poster Papers
24,624 papers found • Page 105 of 493
Conference
FlexTok: Resampling Images into 1D Token Sequences of Flexible Length
Roman Bachmann, Jesse Allardice, David Mizrahi et al.
FlexUOD: The Answer to Real-world Unsupervised Image Outlier Detection
Zhonghang Liu, Kun Zhou, Changshuo Wang et al.
FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction
Siyu Jiao, Gengwei Zhang, Yinlong Qian et al.
FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration
Luxi Chen, Zihan Zhou, Min Zhao et al.
Flick: Empowering Federated Learning with Commonsense Knowledge
Ran Zhu, Mingkun Yang, Shiqiang Wang et al.
FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning
Woosung Koh, Wonbeen Oh, Siyeol Kim et al.
FlipAttack: Jailbreak LLMs via Flipping
Yue Liu, Xiaoxin He, Miao Xiong et al.
FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model
Chongkai Gao, Haozhuo Zhang, Zhixuan Xu et al.
FlipSketch: Flipping Static Drawings to Text-Guided Sketch Animations
Hmrishav Bandyopadhyay, Yi-Zhe Song
FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
Dongping Liao, Xitong Gao, Cheng-Zhong Xu
F-LMM: Grounding Frozen Large Multimodal Models
Size Wu, Sheng Jin, Wenwei Zhang et al.
FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait
Taekyung Ki, Dongchan Min, Gyeongsu Chae
Floating No More: Object-Ground Reconstruction from a Single Image
Yunze Man, Yichen Sheng, Jianming Zhang et al.
Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions
Geonho Hwang, Yeachan Park, Wonyeol Lee et al.
FloE: On-the-Fly MoE Inference on Memory-constrained GPU
Yuxin Zhou, Zheng Li, Jun Zhang et al.
FLOPS: Forward Learning with OPtimal Sampling
Tao Ren, Zishi Zhang, Jinyang Jiang et al.
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion
Jiuhai Chen, Jianwei Yang, Haiping Wu et al.
FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation
Yasser Benigmim, Mohammad Fahes, Tuan-Hung Vu et al.
FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis
Wonjoon Jin, Qi Dai, Chong Luo et al.
Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow
Ruyang Liu, Shangkun Sun, Haoran Tang et al.
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching
Sucheng Ren, Qihang Yu, Ju He et al.
Flow-based Domain Randomization for Learning and Sequencing Robotic Skills
Aidan Curtis, Eric Li, Michael S Noseworthy et al.
Flow-Based Policy for Online Reinforcement Learning
Lei Lv, Yunfei Li, Yu Luo et al.
Flow-based Variational Mutual Information: Fast and Flexible Approximations
Caleb Dahlke, Jason Pacheco
FlowChef: Steering of Rectified Flow Models for Controlled Generations
Maitreya Patel, Song Wen, Dimitris Metaxas et al.
FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models
Jintao Tong, Wenwei Jin, Pengda Qin et al.
FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
Siyi Chen, Yixuan Jia, Qing Qu et al.
FlowDec: A flow-based full-band general audio codec with high perceptual quality
Simon Welker, Matthew Le, Ricky T. Q. Chen et al.
Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors
Lin-Zhuo Chen, Kangjie Liu, Youtian Lin et al.
FlowDPS : Flow-Driven Posterior Sampling for Inverse Problems
Jeongsol Kim, Bryan Sangwoo Kim, Jong Ye
FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models
Vladimir Kulikov, Matan Kleiner, Inbar Huberman-Spiegelglas et al.
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
Yan Gao, Massimo R. Scamarcia, Javier Fernandez-Marques et al.
Flow-field inference from neural data using deep recurrent networks
Timothy Doyeon Kim, Thomas Luo, Tankut Can et al.
Flow Field Reconstruction with Sensor Placement Policy Learning
Ruoyan Li, Guancheng Wan, Zijie Huang et al.
Flow-GRPO: Training Flow Matching Models via Online RL
Jie Liu, Gongye Liu, Jiajun Liang et al.
Flow matching achieves almost minimax optimal convergence
Kenji Fukumizu, Taiji Suzuki, Noboru Isobe et al.
Flow Matching for Denoised Social Recommendation
Yinxuan Huang, KE LIANG, Zhuofan Dong et al.
Flow Matching Neural Processes
Hussen Abu Hamad, Dan Rosenbaum
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
Neta Shaul, Itai Gat, Marton Havasi et al.
Flow-MIL: Constructing Highly-expressive Latent Feature Space For Whole Slide Image Classification Using Normalizing Flow
Yingfan MA, Bohan An, Ao Shen et al.
Flow: Modularized Agentic Workflow Automation
Boye Niu, Yiliao Song, Kai Lian et al.
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
Yunqi Gao, Bing Hu, Boloursaz Mashhadi et al.
Flow-NeRF: Joint Learning of Geometry, Poses, and Dense Flow within Unified Neural Representations
Xunzhi Zheng, Dan Xu
Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options
Lakshmi Nair, Ian Trase, J. Kim
Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
Fangxu Yu, Lai Jiang, Haoqiang Kang et al.
FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network
Shuo Xu, Yu Chen, Shuxia Lin et al.
Flow Q-Learning
Seohong Park, Qiyang Li, Sergey Levine
FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation
Sen Wang, Le Wang, Sanping Zhou et al.
FlowRefiner: A Robust Traffic Classification Framework against Label Noise
Mingwei Zhan, Ruijie Zhao, Xianwen Deng et al.
FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases
Matteo Poggi, Fabio Tosi