Poster Papers
24,624 papers found • Page 103 of 493
Conference
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity
Hang Hua, Qing Liu, Lingzhi Zhang et al.
Fine-Grained 3D Gaussian Head Avatars Modeling from Static Captures via Joint Reconstruction and Registration
Yuan Sun, Xuan Wang, Cong Wang et al.
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
Jiawen Zhu, YEW-SOON ONG, Chunhua Shen et al.
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
Michal Derezinski, Daniel LeJeune, Deanna Needell et al.
Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models
Kartik Thakral, Tamar Glaser, Tal Hassner et al.
Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving
Yue Li, Meng Tian, Zhenyu Lin et al.
Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation
Jiho Choi, Seonho Lee, Minhyun Lee et al.
Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
Yifan Shen, Yuanzhe Liu, Jingyuan Zhu et al.
Fine-grained Spatiotemporal Grounding on Egocentric Videos
Shuo LIANG, Yiwu Zhong, Zi-Yuan Hu et al.
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Chenhang Cui, An Zhang, Yiyang Zhou et al.
FineLIP: Extending CLIP’s Reach via Fine-Grained Alignment with Longer Text Inputs
Mothilal Asokan, Kebin wu, Fatima Albreiki
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing
Bizhu Wu, Jinheng Xie, Meidan Ding et al.
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance
Dian Shao, Mingfei Shi, Shengda Xu et al.
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation
Ziheng Zhang, Jianyang Gu, Arpita Chowdhury et al.
FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning
Lu Zhang, Jiazuo Yu, Haomiao Xiong et al.
Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic
Ruochen Jin, Bojian Hou, Jiancong Xiao et al.
Fine-tuning can cripple your foundation model; preserving features may be the solution
Philip Torr, Puneet Dokania, Jishnu Mukhoti et al.
Fine-tuning can Help Detect Pretraining Data from Large Language Models
Hengxiang Zhang, Songxin Zhang, Bingyi Jing et al.
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Chenyu Wang, Masatoshi Uehara, Yichun He et al.
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
Oussama Zekri, Nicolas Boulle
Fine-Tuning Token-Based Large Multimodal Models: What Works, What Doesn’t and What's Next
Zhulin Hu, Yan Ma, Jiadi Su et al.
Fine-Tuning Visual Autogressive Models for Subject-Driven Generation
Jiwoo Chung, Sangeek Hyun, Hyunjun Kim et al.
Fine-tuning with Reserved Majority for Noise Reduction
Shuyang Jiang, Yusheng Liao, Ya Zhang et al.
Fingerprinting Denoising Diffusion Probabilistic Models
Huan Teng, Yuhui Quan, Chengyu Wang et al.
Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control
Hongyi Zhou, Jingwei Li, Jingzhao Zhang
Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
Yang Xu, Washim Mondal, Vaneet Aggarwal
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games
Antonio Ocello, Daniil Tiapkin, Lorenzo Mancini et al.
Finite-Time Analysis of Discrete-Time Stochastic Interpolants
Yuhao Liu, Yu Chen, Rui Hu et al.
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
Emre Sahinoglu, Youbang Sun, Shahin Shahrampour
Finite-Time Bounds for Average-Reward Fitted Q-Iteration
Jongmin Lee, Ernest Ryu
Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
Eric Frankel, Kshitij Kulkarni, Dmitriy Drusvyatskiy et al.
Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
Zhiyao Zhang, Myeung Suk Oh, Hairi et al.
FinMMR: Make Financial Numerical Reasoning More Multimodal, Comprehensive, and Challenging
Zichen Tang, Haihong E, Jiacheng Liu et al.
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin et al.
FIPER: Factorized Features for Robust Image Super-Resolution and Compression
Yang-Che Sun, Cheng-Yu Yeo, Ernie Chu et al.
Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?
Xi Chen, Kaituo Feng, Changsheng Li et al.
FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model
Jun Zhou, Jiahao Li, Zunnan Xu et al.
FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems
Matthieu Terris, Ulugbek Kamilov, Thomas Moreau
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Yingying Deng, Xiangyu He, Changwang Mei et al.
FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error
Beilin Chu, Xuan Xu, Xin Wang et al.
FIRING-Net: A filtered feature recycling network for speech enhancement
Xinmeng Xu, Yiqun Zhang, Jizhen Li et al.
First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training
Gyudong Kim, Hyukju Na, Jin Kim et al.
First-Person Fairness in Chatbots
Tyna Eloundou, Alex Beutel, David Robinson et al.
First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training
Lai Wei, Yuting Li, Chen Wang et al.
Fish2Mesh Transformer: 3D Human Mesh Recovery from Egocentric Vision
Tianma Shen, Aditya Shrish Puranik, James Vong et al.
FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
Rohan Deb, Kiran Thekumparampil, Kousha Kalantari et al.
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
Dong Zhao, Jinlong Li, Shuang Wang et al.
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
Kazi Sajeed Mehrab, M. Maruf, Arka Daw et al.
Fitted Neural Lossless Image Compression
Zhe Zhang, Zhenzhong Chen, Shan Liu
Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models
Hai Yan, Haijian Ma, Xiaowen Cai et al.