Poster Papers
24,624 papers found • Page 434 of 493
Conference
PartSTAD: 2D-to-3D Part Segmentation Task Adaptation
Hyunjin Kim, Minhyuk Sung
PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness
Anh-Quan Cao, Angela Dai, Raoul de Charette
PASOA- PArticle baSed Bayesian Optimal Adaptive design
Jacopo Iollo, Christophe Heinkelé, Pierre Alliez et al.
Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging
Bhargav Ghanekar, Salman Siddique Khan, Pranav Sharma et al.
Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
Shreyas Fadnavis, Agniva Chowdhury, Joshua Batson et al.
Patched Denoising Diffusion Models For High-Resolution Image Synthesis
Zheng Ding, Mengqi Zhang, Jiajun Wu et al.
Patches Are All You Need?
Asher Trockman, J Kolter
PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
Zhenyu Li, Shariq Bhat, Peter Wonka
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation
Zhenyu Li, Shariq Farooq Bhat, Peter Wonka
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
Asma Ghandeharioun, Avi Caciularu, Adam Pearce et al.
Path Choice Matters for Clear Attributions in Path Methods
Borui Zhang, Wenzhao Zheng, Jie Zhou et al.
Pathformer3D: A 3D Scanpath Transformer for 360° Images
Rong Quan, yantao Lai, Mengyu Qiu et al.
Path-Guided Particle-based Sampling
Mingzhou Fan, Ruida Zhou, Chao Tian et al.
PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology
YUXUAN SUN, Hao Wu, Chenglu Zhu et al.
Pathologies of Predictive Diversity in Deep Ensembles
Geoff Pleiss, Taiga Abe, E. Kelly Buchanan et al.
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification
Linhao Qu, Dingkang Yang, Dan Huang et al.
PAV: Personalized Head Avatar from Unstructured Video Collection
Akin Caliskan, Berkay Kicanaoglu, H K
Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs
Shi Liu, Kecheng Zheng, Wei Chen
PBADet: A One-Stage Anchor-Free Approach for Part-Body Association
Zhongpai Gao, Huayi Zhou, Abhishek Sharma et al.
PB-LLM: Partially Binarized Large Language Models
Zhihang Yuan, Yuzhang Shang, Zhen Dong
PBWR: Parametric-Building-Wireframe Reconstruction from Aerial LiDAR Point Clouds
Shangfeng Huang, Ruisheng Wang, Bo Guo et al.
PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion
Runsong Zhu, Shi Qiu, Qianyi Wu et al.
PcLast: Discovering Plannable Continuous Latent States
ANURAG KOUL, Shivakanth Sujit, Shaoru Chen et al.
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
Jinfeng Xu, Siyuan Yang, Xianzhi Li et al.
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
Bingheng Li, Linxin Yang, Yupeng Chen et al.
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers
Ananthu Aniraj, Cassio F. Dantas, Dino Ienco et al.
PDT Uav Target Detection Dataset for Pests and Diseases Tree
Mingle Zhou, Rui Xing, Delong Han et al.
PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation
Jian Ma, Chen Chen, Qingsong Xie et al.
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
Runze Liu, Yali Du, Fengshuo Bai et al.
Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
Yibo Zhou, Hai-Miao Hu, Yirong Xiang et al.
PEEKABOO: Interactive Video Generation via Masked-Diffusion
Yash Jain, Anshul Nasery, Vibhav Vineet et al.
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
Brian Cho, Kyra Gan, Nathan Kallus
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
Jaewon Jung, Hongsun Jang, Jaeyong Song et al.
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
Hritik Bansal, John Dang, Aditya Grover
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott, Hossein Zakerinia, Christoph Lampert
PEGASUS: Personalized Generative 3D Avatars with Composable Attributes
Hyunsoo Cha, Byungjun Kim, Hanbyul Joo
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
Yangyang Guo, Guangzhi Wang, Mohan Kankanhalli
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
Honghao Chen, Xiangxiang Chu, Renyongjian et al.
PEM: Prototype-based Efficient MaskFormer for Image Segmentation
Niccolò Cavagnero, Gabriele Rosi, Claudia Cuttano et al.
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
Chulin Xie, De-An Huang, Wenda Chu et al.
PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR
Kartik Patwari, Chen-Nee Chuah, Lingjuan Lyu et al.
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess et al.
Perception-Oriented Video Frame Interpolation via Asymmetric Blending
Guangyang Wu, Xin Tao, Changlin Li et al.
Perceptual Assessment and Optimization of HDR Image Rendering
Peibei Cao, Rafal Mantiuk, Kede Ma
Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers’ Opinion Scores
Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania et al.
Perceptual Group Tokenizer: Building Perception with Iterative Grouping
Zhiwei Deng, Ting Chen, Yang Li
Perceptual Scales Predicted by Fisher Information Metrics
Jonathan Vacher, Pascal Mamassian
Perfect Alignment May be Poisonous to Graph Contrastive Learning
Jingyu Liu, Huayi Tang, Yong Liu
Performance Bounds for Active Binary Testing with Information Maximization
Aditya Chattopadhyay, Benjamin Haeffele, Rene Vidal et al.
Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
Hugo Lebeau, Mohamed El Amine Seddik, José Henrique Goulart