All Papers

Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation

Hyun Seok Seong, WonJun Moon, SuBeen Lee et al.

Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning

Shiming Chen, Wenjin Hou, Salman Khan et al.

Progressive Text-to-Image Diffusion with Soft Latent Direction

YuTeng Ye, Jiale Cai, Hang Zhou et al.

Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features

Annie Chen, Yoonho Lee, Amrith Setlur et al.

Project-Fair and Truthful Mechanisms for Budget Aggregation

Rupert Freeman, Ulrike Schmidt-Kraepelin

Projecting Molecules into Synthesizable Chemical Spaces

Shitong Luo, Wenhao Gao, Zuofan Wu et al.

Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation

Zeyang Zhao, Qilong Xue, Yifan Bai et al.

Projecting Trackable Thermal Patterns for Dynamic Computer Vision

Mark Sheinin, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan

Projection-Free Online Convex Optimization with Time-Varying Constraints

Dan Garber, Ben Kretzu

Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization

Wei Jiang, Sifan Yang, Wenhao Yang et al.

ProMark: Proactive Diffusion Watermarking for Causal Attribution

Vishal Asnani, John Collomosse, Tu Bui et al.

ProMerge: Prompt and Merge for Unsupervised Instance Segmentation

Dylan Li, Gyungin Shin

Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models

Seungone Kim, Jamin Shin, yejin cho et al.

Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE

Hao Wu, Huiyuan Wang, kun wang et al.

Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines

Yuchen Li, Alexandre Kirchmeyer, Aashay Mehta et al.

Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation

Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

ProMotion: Prototypes As Motion Learners

Yawen Lu, Dongfang Liu, Qifan Wang et al.

Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection

Xiaohong Zhang, Huisheng Ye, Jingwen Li et al.

Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences

Minyoung Hwang, Luca Weihs, Chanwoo Park et al.

PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection

Xiaofan Li, Zhizhong Zhang, Xin Tan et al.

PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Xinyuan Wang, Chenxi Li, Zhen Wang et al.

Prompt Augmentation for Self-supervised Text-guided Image Manipulation

Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim

Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation

Shuanghao Bai, Min Zhang, Wanqi Zhou et al.

Prompt-Based Test-Time Real Image Dehazing: A Novel Pipeline

Zixuan Chen, Zewei He, Ziqian Lu et al.

Prompt-based Visual Alignment for Zero-shot Policy Transfer

Haihan Gao, Rui Zhang, Qi Yi et al.

Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution

Chrisantha Fernando, Dylan Banarse, Henryk Michalewski et al.

PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery

Fernando Julio Cendra, Bingchen Zhao, Kai Han

PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought

Junyi Yao, Yijiang Liu, Zhen Dong et al.

Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks

Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon

Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization

Deng Li, Aming Wu, Yaowei Wang et al.

Prompt-Driven Referring Image Segmentation with Instance Contrasting

Chao Shang, Zichen Song, Heqian Qiu et al.

Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection

Junxi Chen, Liang Li, Li Su et al.

Prompt-Free Diffusion: Taking “Text” out of Text-to-Image Diffusion Models

Xingqian Xu, Jiayi Guo, Zhangyang Wang et al.

PromptFusion: Decoupling Stability and Plasticity for Continual Learning

Haoran Chen, Zuxuan Wu, Xintong Han et al.

Prompt Gradient Projection for Continual Learning

Jingyang Qiao, Zhizhong Zhang, Xin Tan et al.

Prompt-guided Precise Audio Editing with Diffusion Models

Manjie Xu, Chenxing Li, Duzhen Zhang et al.

Prompt Highlighter: Interactive Control for Multi-Modal LLMs

Yuechen Zhang, Shengju Qian, Bohao Peng et al.

Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts

Zhi-Yi Chin, Chieh Ming Jiang, Ching-Chun Huang et al.

Prompting a Pretrained Transformer Can Be a Universal Approximator

Aleksandar Petrov, Phil Torr, Adel Bibi

Prompting Future Driven Diffusion Model for Hand Motion Prediction

Bowen Tang, Kaihao Zhang, Wenhan Luo et al.

Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models

Shweta Mahajan, Tanzila Rahman, Kwang Moo Yi et al.

Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation Models

Amrith Setlur, Saurabh Garg, Virginia Smith et al.

Prompting Language-Informed Distribution for Compositional Zero-Shot Learning

Wentao Bao, Lichang Chen, Heng Huang et al.

Prompting Multi-Modal Image Segmentation with Semantic Grouping

Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer

Yaoting Wang, Liu Weisong, Guangyao Li et al.

Prompting Vision Foundation Models for Pathology Image Analysis

CHONG YIN, Siqi Liu, Kaiyang Zhou et al.

PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts

Zewen Chen, Haina Qin, Juan Wang et al.

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models

Zheng Li, Xiang Li, xinyi fu et al.

Prompt Learning via Meta-Regularization

Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim

Prompt Learning with Quaternion Networks

Boya Shi, Zhengqin Xu, Shuai Jia et al.