Papers
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding
Ming Hu, Lin Wang, Siyuan Yan et al.
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu et al.
NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos
Jinxi Li, Ziyang Song, Bo Yang
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
Hugo Laurençon, Lucile Saulnier, Leo Tronchon et al.
Objaverse-XL: A Universe of 10M+ 3D Objects
Matt Deitke, Ruoshi Liu, Matthew Wallingford et al.
OBJECT 3DIT: Language-guided 3D-aware Image Editing
Oscar Michel, Anand Bhattad, Eli VanderBilt et al.
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius
Object-centric Learning with Cyclic Walks between Parts and Whole
Ziyu Wang, Mike Zheng Shou, Mengmi Zhang
Object-Centric Slot Diffusion
Jindong Jiang, Fei Deng, Gautam Singh et al.
Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations
Xingyu Chen, Weiyao Wang, Hao Tang et al.
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
Xiaoyu Tian, Tao Jiang, Longfei Yun et al.
OceanBench: The Sea Surface Height Edition
J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova et al.
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs
Xuanle Zhao, Duzhen Zhang, Han Liyuan et al.
OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment
Yiheng Zhu, Yang Zhan, Xuankun Huang et al.
Offline Imitation Learning with Variational Counterfactual Reasoning
Zexu Sun, Bowei He, Jinxin Liu et al.
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage
Masatoshi Uehara, Nathan Kallus, Jason Lee et al.
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
Xiangsen Wang, Haoran Xu, Yinan Zheng et al.
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
Dhawal Gupta, Yinlam Chow, Azamat Tulepbergenov et al.
Offline Reinforcement Learning with Differential Privacy
Dan Qiao, Yu-Xiang Wang
Offline RL with Discrete Proxy Representations for Generalizability in POMDPs
Pengjie Gu, Xinyu Cai, Dong Xing et al.
Off-Policy Evaluation for Human Feedback
Qitong Gao, Ge Gao, Juncheng Dong et al.
OKRidge: Scalable Optimal k-Sparse Ridge Regression
Jiachang Liu, Sam Rosen, Chudi Zhong et al.
On Calibrating Diffusion Probabilistic Models
Tianyu Pang, Cheng Lu, Chao Du et al.
On Certified Generalization in Structured Prediction
Bastian Boll, Christoph Schnörr