Papers
OctOcc: High-Resolution 3D Occupancy Prediction with Octree
Wenzhe Ouyang, Xiaolin Song, Bailan Feng et al.
ODTrack: Online Dense Temporal Token Learning for Visual Tracking
Yaozong Zheng, Bineng Zhong, Qihua Liang et al.
Offline and Online Optical Flow Enhancement for Deep Video Compression
Chuanbo Tang, Xihua Sheng, Zhuoyuan Li et al.
Offline Model-Based Optimization via Policy-Guided Gradient Search
Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang et al.
Omega-Regular Decision Processes
Ernst Moritz Hahn, Mateo Perez, Sven Schewe et al.
Omnidirectional Image Super-resolution via Bi-projection Fusion
Jiangang Wang, Yuning Cui, Yawen Li et al.
Omni-Kernel Network for Image Restoration
Yuning Cui, Wenqi Ren, Alois Knoll
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency
Peijun Bao, Zihao Shao, Wenhan Yang et al.
On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing
Raven Beutner, Bernd Finkbeiner
Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval
Long Tang, Dengpan Ye, Yunna Lv et al.
On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles
Marcus Gozon, Jingjin Yu
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning
Jiayi Chen, Aidong Zhang
One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception
Bohan Li, Yasheng Sun, Jingxin Dong et al.
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
Mikołaj Małkiński, Jacek Mańdziuk
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
Wang Zhang, Ziwen Martin Ma, Subhro Das et al.
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training
Lianbo Ma, Yuee Zhou, Jianlun Ma et al.
One Step Learning, One Step Review
Xiaolong Huang, Qiankun Li, Xueran Li et al.
On Inference Stability for Diffusion Models
Viet Nguyen, Giang Vu, Tung Nguyen Thanh et al.
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
En Yu, Jie Lu, Bin Zhang et al.
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback
Qiming Liu, Xiang Ao, Yuyao Guo et al.
Online Markov Decision Processes Configuration with Continuous Decision Space
Davide Maran, Pierriccardo Olivieri, Francesco Emanuele Stradi et al.
Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments
Fahmid Morshed Fahid, Jonathan Rowe, Yeojin Kim et al.
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
Shufan Wang, Guojun Xiong, Jian Li
Online Sensitivity Optimization in Differentially Private Learning
Filippo Galli, Catuscia Palamidessi, Tommaso Cucinotta