Papers
Panoptic Scene Graph Generation with Semantics-Prototype Learning
Li Li, Wei Ji, Yiming Wu et al.
Pantypes: Diverse Representatives for Self-Explainable Models
Rune Kjærsgaard, Ahcène Boubekki, Line Clemmensen
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer
Zachary Horvitz, Ajay Patel, Chris Callison-Burch et al.
Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming
Ryo Kuroiwa, J. Christopher Beck
Parallel Empirical Evaluations: Resilience despite Concurrency
Johannes K. Fichte, Tobias Geibinger, Markus Hecher et al.
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems
Zhiguang Yang, Liufang Sang, Haoran Wang et al.
Parallel Vertex Diffusion for Unified Visual Grounding
Zesen Cheng, Kehan Li, Peng Jin et al.
Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph
Vasily Alferov, Ivan Bliznets, Kirill Brilliantov
Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants
Xianrun Chen, Dachuan Xu, Yicheng Xu et al.
Parameterized Projected Bellman Operator
Théo Vincent, Alberto Maria Metelli, Boris Belousov et al.
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus
Florian Kluger, Bodo Rosenhahn
Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency
Fuhao Li, Ziyang Gong, Yupeng Deng et al.
Partial Label Learning with a Partner
Chongjie Si, Zekun Jiang, Xuehui Wang et al.
Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract)
Brandon Rozek, Junkyu Lee, Harsha Kokel et al.
Partial Multi-View Clustering via Self-Supervised Network
Wei Feng, Guoshuai Sheng, Qianqian Wang et al.
Participation Incentives in Approval-Based Committee Elections
Martin Bullinger, Chris Dong, Patrick Lederer et al.
Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract)
Boshen Yan, Guihong Wan, Haim Schweitzer et al.
Patch-Aware Sample Selection for Efficient Masked Image Modeling
Zhengyang Zhuge, Jiaxing Wang, Yong Li et al.
patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds
Zirui Pan, Mengbai Xiao, Xu Han et al.
Patched Line Segment Learning for Vector Road Mapping
Jiakun Xu, Bowen Xu, Gui-Song Xia et al.
Patch-Wise Graph Contrastive Learning for Image Translation
Chanyong Jung, Gihyun Kwon, Jong Chul Ye
PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology
Yuxuan Sun, Chenglu Zhu, Sunyi Zheng et al.
Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths
Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt et al.
Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation
Huayu Mai, Rui Sun, Yuan Wang et al.