Papers
Oriented RepPoints for Aerial Object Detection
Wentong Li, Yijie Chen, Kaixuan Hu et al.
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
Wanyu Lin, Hao Lan, Hao Wang et al.
OSKDet: Orientation-Sensitive Keypoint Localization for Rotated Object Detection
Dongchen Lu, Dongmei Li, Yali Li et al.
OSOP: A Multi-Stage One Shot Object Pose Estimation Framework
Ivan Shugurov, Fu Li, Benjamin Busam et al.
OSSGAN: Open-Set Semi-Supervised Image Generation
Kai Katsumata, Duc Minh Vo, Hideki Nakayama
OSSO: Obtaining Skeletal Shape From Outside
Marilyn Keller, Silvia Zuffi, Michael J. Black et al.
Out-of-Distribution Generalization With Causal Invariant Transformations
Ruoyu Wang, Mingyang Yi, Zhitang Chen et al.
OVE6D: Object Viewpoint Encoding for Depth-Based 6D Object Pose Estimation
Dingding Cai, Janne Heikkilä, Esa Rahtu
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
Tao Feng, Mang Wang, Hangjie Yuan
OW-DETR: Open-World Detection Transformer
Akshita Gupta, Sanath Narayan, K J Joseph et al.
P3Depth: Monocular Depth Estimation With a Piecewise Planarity Prior
Vaishakh Patil, Christos Sakaridis, Alexander Liniger et al.
P3IV: Probabilistic Procedure Planning From Instructional Videos With Weak Supervision
He Zhao, Isma Hadji, Nikita Dvornik et al.
PanopticDepth: A Unified Framework for Depth-Aware Panoptic Segmentation
Naiyu Gao, Fei He, Jian Jia et al.
Panoptic, Instance and Semantic Relations: A Relational Context Encoder To Enhance Panoptic Segmentation
Shubhankar Borse, Hyojin Park, Hong Cai et al.
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
Abhijit Kundu, Kyle Genova, Xiaoqi Yin et al.
Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap
Jinke Li, Xiao He, Yang Wen et al.
Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers
Zhiqi Li, Wenhai Wang, Enze Xie et al.
Parameter-Free Online Test-Time Adaptation
Malik Boudiaf, Romain Mueller, Ismail Ben Ayed et al.
Parametric Scattering Networks
Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot et al.
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention
Tong Yu, Ruslan Khalitov, Lei Cheng et al.
Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification
Yoonki Cho, Woo Jae Kim, Seunghoon Hong et al.
PartGlot: Learning Shape Part Segmentation From Language Reference Games
Juil Koo, Ian Huang, Panos Achlioptas et al.
Partial Class Activation Attention for Semantic Segmentation
Sun-Ao Liu, Hongtao Xie, Hai Xu et al.
Partially Does It: Towards Scene-Level FG-SBIR With Partial Input
Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Viswanatha Reddy Gajjala et al.
Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
Shuai Yang, Liming Jiang, Ziwei Liu et al.