All Papers

Plain-Det: A Plain Multi-Dataset Object Detector

cheng Shi, yuchen zhu, Sibei Yang

PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer

Chang Chen, Junyeob Baek, Fei Deng et al.

Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners

Chengjie Wu, Hao Hu, yiqin yang et al.

Plan, Posture and Go: Towards Open-vocabulary Text-to-Motion Generation

Jinpeng Liu, Wenxun Dai, Chunyu Wang et al.

Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks

Murtaza Dalal, Tarun Chiruvolu, Devendra Chaplot et al.

p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models

Haoyuan Wu, Xinyun Zhang, Peng Xu et al.

PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning

Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin et al.

PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar

Tzofi Klinghoffer, Xiaoyu Xiang, Siddharth Somasundaram et al.

Platypus: A Generalized Specialist Model for Reading Text in Various Forms

Peng Wang, Zhaohai Li, Jun Tang et al.

PLGSLAM: Progressive Neural Scene Represenation with Local to Global Bundle Adjustment

Tianchen Deng, Guole Shen, Tong Qin et al.

PLOT: Text-based Person Search with Part Slot Attention for Corresponding Part Discovery

Jicheol Park, Dongwon Kim, Boseung Jeong et al.

Plug and Play Active Learning for Object Detection

Chenhongyi Yang, Lichao Huang, Elliot Crowley

Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models

Yingtao Zhang, Haoli Bai, Haokun Lin et al.

Plug and Play: A Representation Enhanced Domain Adapter for Collaborative Perception

TIANYOU LUO, Quan Yuan, Yuchen Xia et al.

Plug-and-Play Diffusion Distillation

Yi-Ting Hsiao, Siavash Khodadadeh, Kevin Duarte et al.

Plug-and-Play image restoration with Stochastic deNOising REgularization

Marien Renaud, Jean Prost, Arthur Leclaire et al.

Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography

Romain Vo, Julie Escoda, Caroline Vienne et al.

Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents

Yang Deng, Wenxuan Zhang, Wai Lam et al.

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models

Marien Renaud, Jiaming Liu, Valentin De Bortoli et al.

Plug-In Diffusion Model for Sequential Recommendation

Haokai Ma, Ruobing Xie, Lei Meng et al.

Plugin estimators for selective classification with out-of-distribution detection

Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum et al.

Plug-in Performative Optimization

Licong Lin, Tijana Zrnic

Pluvial Flood Emulation with Hydraulics-informed Message Passing

Arnold Kazadi, James Doss-Gollin, Arlei Silva

PMAC: Personalized Multi-Agent Communication

Xiangrui Meng, Ying Tan

PMET: Precise Model Editing in a Transformer

Xiaopeng Li, Shasha Li, Shezheng Song et al.

PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation

Yiying Yang, Fukun Yin, Wen Liu et al.

PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition

Jin Huang, Danfeng Yan, Yuanqiang Cai

PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation

Ning Gao, Sanping Zhou, Le Wang et al.

PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos

Qi Zhao, M. Salman Asif, Zhan Ma

PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping

Jiafu Chen, Wei Xing, Jiakai Sun et al.

PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code

Xuan Ju, Ailing Zeng, Yuxuan Bian et al.

POA: Pre-training Once for Models of All Sizes

Yingying Zhang, Xin Guo, Jiangwei Lao et al.

POCA: Post-training Quantization with Temporal Alignment for Codec Avatars

Jian Meng, Yuecheng Li, CHENGHUI Li et al.

POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning

Jiayi Guan, Li Shen, Ao Zhou et al.

POET: Prompt Offset Tuning for Continual Human Action Adaptation

Prachi Garg, Joseph K J, Vineeth N Balasubramanian et al.

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding

Yuecen Wei, Haonan Yuan, Xingcheng Fu et al.

Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds

Yujia Liu, Anton Obukhov, Jan D. Wegner et al.

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision

Yi Yu, Xue Yang, Qingyun Li et al.

Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition

Hanxuan Li, Bin Fu, Ruiping Wang et al.

Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds

Jadie Adams, Shireen Elhabian

PointBeV: A Sparse Approach for BeV Predictions

Loick Chambon, Éloi Zablocki, Mickaël Chen et al.

Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection

Kaiyi Zhang, Yang Chen, Ximing Yang et al.

Point Cloud Pre-training with Diffusion Models

xiao zheng, Xiaoshui Huang, Guofeng Mei et al.

Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis

Xingyilang Yin, Xi Yang, Liangchen Liu et al.

PointInfinity: Resolution-Invariant Point Diffusion Models

Zixuan Huang, Justin Johnson, Shoubhik Debnath et al.

PointLLM: Empowering Large Language Models to Understand Point Clouds

Runsen Xu, Xiaolong Wang, Tai Wang et al.

PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques

Yue Wu, Xidao hu, Yongzhe Yuan et al.

PointNeRF++: A multi-scale, point-based Neural Radiance Field

Weiwei Sun, Eduard Trulls, Yang-Che Tseng et al.

PointOBB: Learning Oriented Object Detection via Single Point Supervision

Junwei Luo, Xue Yang, Yi Yu et al.