Poster Papers
24,624 papers found • Page 114 of 493
Conference
GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion
Jiayi Tian, Haiduo Huang, Tian Xia et al.
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
Mariam Hassan, Sebastian Stapf, Ahmad Rahimi et al.
GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
Xiang Lan, Feng Wu, Kai He et al.
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis
Bo Liu, Ke Zou, Li-Ming Zhan et al.
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning
Junjie Shan, Ziqi Zhao, Jialin Lu et al.
Gemstones: A Model Suite for Multi-Faceted Scaling Laws
Sean McLeish, John Kirchenbauer, David Miller et al.
Gen3DEval: Using vLLMs for Automatic Evaluation of Generated 3D Objects
Shalini Maiti, Lourdes Agapito, Filippos Kokkinos
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment
Yuancheng Xu, Udari Sehwag, Alec Koppel et al.
GenAssets: Generating in-the-wild 3D Assets in Latent Space
Ze Yang, Jingkang Wang, Haowei Zhang et al.
GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data
Zhiteng Li, Lele Chen, Jerone Andrews et al.
GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration
Sudarshan Rajagopalan, Nithin Gopalakrishnan Nair, Jay Paranjape et al.
GenDoP: Auto-regressive Camera Trajectory Generation as a Director of Photography
Mengchen Zhang, Tong Wu, Jing Tan et al.
GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
Mengbo Wang, Shourya Verma, Aditya Malusare et al.
GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data
Wentao Wang, Hang Ye, Fangzhou Hong et al.
General agents need world models
Jonathan Richens, Tom Everitt, David Abel
General Compression Framework for Efficient Transformer Object Tracking
Lingyi Hong, Jinglun Li, Xinyu Zhou et al.
Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks
Angelica Chen, Samuel Stanton, Frances Ding et al.
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
Lijia Yu, Yibo Miao, Yifan Zhu et al.
Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training
Shuo Cheng, Liqian Ma, Zhenyang Chen et al.
Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians
Xingyu Liu, Pengfei Ren, Qi Qi et al.
Generalizable Human Gaussians from Single-View Image
Jinnan Chen, Chen Li, Jianfeng Zhang et al.
Generalizable Motion Planning via Operator Learning
Sharath Matada, Luke Bhan, Yuanyuan Shi et al.
Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning
Xue Zhao, Qinying Gu, Xinbing Wang et al.
Generalizable Non-Line-of-Sight Imaging with Learnable Physical Priors
Shida Sun, Yue Li, Yueyi Zhang et al.
Generalizable Object Keypoint Localization from Generative Priors
Dongkai Wang, Jiang Duan, Liangjian Wen et al.
Generalizable Object Re-Identification via Visual In-Context Prompting
Zhizhong Huang, Xiaoming Liu
Generalizable, real-time neural decoding with hybrid state-space models
Avery Hee-Woon Ryoo, Nanda H Krishna, Ximeng Mao et al.
Generalization Analysis for Controllable Learning
Yi-Fan Zhang, Xiao Zhang, Min-Ling Zhang
Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
Minh Hieu Nong, Antoine Ledent
Generalization and Distributed Learning of GFlowNets
Tiago Silva, Amauri Souza, Omar Rivasplata et al.
Generalization and Robustness of the Tilted Empirical Risk
Gholamali Aminian, Amir R. Asadi, Tian Li et al.
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel
Yilan Chen, Zhichao Wang, Wei Huang et al.
Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks
Xianyang Zhang, Huijuan Zhou
Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging
Behrooz Tahmasebi, Stefanie Jegelka
Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity
Pengqi Li, Lizhong Ding, Jiarun Fu et al.
Generalization Bounds for Model-based Algorithm Configuration
Zhiyang Chen, Hailong Yao, Xia Yin
Generalization Bounds for Rank-sparse Neural Networks
Antoine Ledent, Rodrigo Alves, Yunwen Lei
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours et al.
Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention
Arya Honarpisheh, Mustafa Bozdag, Octavia Camps et al.
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
Levi Rauchwerger, Stefanie Jegelka, Ron Levie
Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming
Hongyu Cheng, Amitabh Basu
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
Generalization in Federated Learning: A Conditional Mutual Information Framework
Ziqiao Wang, Cheng Long, Yongyi Mao
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
Qi Chen, Jierui Zhu, Florian Shkurti
Generalization of noisy SGD in unbounded non-convex settings
Leello Dadi, Volkan Cevher
Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers
Yixiao Huang, Hanlin Zhu, Tianyu Guo et al.
Generalization Performance of Ensemble Clustering: From Theory to Algorithm
Xu Zhang, Haoye Qiu, Weixuan Liang et al.
Generalization-Preserved Learning: Closing the Backdoor to Catastrophic Forgetting in Continual Deepfake Detection
Xueyi Zhang, Peiyin Zhu, Chengwei Zhang et al.
Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models
Haoyu Wang, Shikun Liu, Rongzhe Wei et al.
Generalization through variance: how noise shapes inductive biases in diffusion models
John Vastola