All Papers

Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization

Xi Yang, Songsong Duan, Nannan Wang et al.

Proactive Detection of Voice Cloning with Localized Watermarking

Robin San Roman, Pierre Fernandez, Hady Elsahar et al.

Proactive DP: A Multiple Target Optimization Framework for DP-SGD

Marten van Dijk, Nhuong Nguyen, Toan N. Nguyen et al.

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Ceyao Zhang, Kaijie Yang, Siyi Hu et al.

Probabilistic Adaptation of Black-Box Text-to-Video Models

Sherry Yang, Yilun Du, Bo Dai et al.

Probabilistically Rewired Message-Passing Neural Networks

Chendi Qian, Andrei Manolache, Kareem Ahmed et al.

Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models

Hengyi Wang, Shiwei Tan, Hao Wang

Probabilistic Constrained Reinforcement Learning with Formal Interpretability

YANRAN WANG, QIUCHEN QIAN, David Boyle

Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes

Yifan Chen, Mark Goldstein, Mengjian Hua et al.

Probabilistic Generating Circuits - Demystified

Sanyam Agarwal, Markus Bläser

Probabilistic Image-Driven Traffic Modeling via Remote Sensing

Scott Workman, Armin Hadzic

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Stephen Zhao, Rob Brekelmans, Alireza Makhzani et al.

Probabilistic Modeling of Interpersonal Coordination Processes

Paulo Soares, Adarsh Pyarelal, Meghavarshini Krishnaswamy et al.

Probabilistic Neural Circuits

Pedro Zuidberg Dos Martires

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation

Longchao Da, Porter Jenkins, Trevor Schwantes et al.

Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search

Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing

Jan-Nico Zaech, Martin Danelljan, Tolga Birdal et al.

Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization

Amirhossein Vahidi, Simon Schosser, Lisa Wimmer et al.

Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks Methods and Applications

Karren Yang, Anurag Ranjan, Jen-Hao Rick Chang et al.

Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning

Vivienne Wang, Tinghuai Wang, wenyan yang et al.

Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model

Tijin Yan, Hengheng Gong, Yongping He et al.

Probabilistic Weather Forecasting with Deterministic Guidance-based Diffusion Model

Donggeun Yoon, Minseok Seo, Doyi Kim et al.

Probabilities of Causation with Nonbinary Treatment and Effect

Ang Li, Judea Pearl

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization

Hao Wang, Kaifeng Yang, Michael Affenzeller

Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation

Yan Wang, Chuan-Xian Ren, Yi-Ming Zhai et al.

Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion

Naishan Zheng, Man Zhou, Jie Huang et al.

Probing the 3D Awareness of Visual Foundation Models

Mohamed El Banani, Amit Raj, Kevis-kokitsi Maninis et al.

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning

Fushuo Huo, Wenchao Xu, Song Guo et al.

Procedural Fairness Through Decoupling Objectionable Data Generating Components

Zeyu Tang, Jialu Wang, Yang Liu et al.

Procedural Level Generation with Diffusion Models from a Single Example

Shiqi Dai, Xuanyu Zhu, Naiqi Li et al.

ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation

Jack Lu, Ryan Teehan, Mengye Ren

ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion

Sungmin Woo, Wonjoon Lee, Woo Jin Kim et al.

Prodigy: An Expeditiously Adaptive Parameter-Free Learner

Konstantin Mishchenko, Aaron Defazio

Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

Xunjiang Gu, Guanyu Song, Igor Gilitschenski et al.

Profile Reconstruction from Private Sketches

Hao WU, Rasmus Pagh

Programmable Motion Generation for Open-Set Motion Control Tasks

Hanchao Liu, Xiaohang Zhan, Shaoli Huang et al.

PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation

Haopeng Sun, Lumin Xu, Sheng Jin et al.

Progress-Aware Online Action Segmentation for Egocentric Procedural Task Videos

Yuhan Shen, Ehsan Elhamifar

Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts

Xinhua Cheng, Tianyu Yang, Jianan Wang et al.

Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds

Zicheng Wang, Zhen Zhao, Yiming Wu et al.

Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion

Cunhang Fan, Yujie Chen, Jun Xue et al.

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI

Chong Wang, Lanqing Guo, Yufei Wang et al.

Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation

Jingxuan He, Lechao Cheng, Chaowei Fang et al.

Progressive Fourier Neural Representation for Sequential Video Compilation

Haeyong Kang, Jaehong Yoon, DaHyun Kim et al.

Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation

Ge Meng, Jingjia Huang, Yingying Wang et al.

Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions

Sanjay Kariyappa, Freddy Lecue, Saumitra Mishra et al.

Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process

Xufeng Yao, Fanbin Lu, Yuechen Zhang et al.

Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles

Progressive Poisoned Data Isolation for Training-Time Backdoor Defense

Yiming Chen, Haiwei Wu, Jiantao Zhou

Progressive Pretext Task Learning for Human Trajectory Prediction

Xiaotong Lin, Tianming Liang, Jian-Huang Lai et al.