All Papers
34,598 papers found • Page 600 of 692
Conference
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
Dongha Kim, Jaesung Hwang, Jongjin Lee et al.
ODIN: A Single Model for 2D and 3D Segmentation
Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios et al.
ODIN: Disentangled Reward Mitigates Hacking in RLHF
Lichang Chen, Chen Zhu, Jiuhai Chen et al.
ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and Spotting
Chen Duan, Pei Fu, Shan Guo et al.
ODTrack: Online Dense Temporal Token Learning for Visual Tracking
Yaozong Zheng, Bineng Zhong, Qihua Liang et al.
OED: Towards One-stage End-to-End Dynamic Scene Graph Generation
Guan Wang, Zhimin Li, Qingchao Chen et al.
Offline Actor-Critic Reinforcement Learning Scales to Large Models
Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang et al.
Offline and Online Optical Flow Enhancement for Deep Video Compression
Chuanbo Tang, Xihua Sheng, Zhuoyuan Li et al.
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
Yu Luo, Tianying Ji, Fuchun Sun et al.
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees
Yifei Zhou, Ayush Sekhari, Yuda Song et al.
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
Kai Yan, Alex Schwing, Yu-Xiong Wang
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
Offline Model-Based Optimization via Policy-Guided Gradient Search
Yassine Chemingui, Aryan Deshwal, Nghia Hoang et al.
Offline Multi-Objective Optimization
Ke Xue, Rong-Xi Tan, Xiaobin Huang et al.
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity
Joey Hong, Anca Dragan, Sergey Levine
Offline Training of Language Model Agents with Functions as Learnable Weights
Shaokun Zhang, Jieyu Zhang, Jiale Liu et al.
Offline Transition Modeling via Contrastive Energy Learning
Ruifeng Chen, Chengxing Jia, Zefang Huang et al.
Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness
Samir Khan, Martin Saveski, Johan Ugander
Off-Policy Primal-Dual Safe Reinforcement Learning
Zifan Wu, Bo Tang, Qian Lin et al.
OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations
Yiming Zuo, Jia Deng
OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
Xiaozheng Zheng, Chao Wen, Zhuo Su et al.
OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing
Pranav Gupta, Rishubh Singh, Pradeep Shenoy et al.
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
Sheng Yue, Xingyuan Hua, Ju Ren et al.
OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models
Kong Zhe, Yong Zhang, Tianyu Yang et al.
OMG-Seg: Is One Model Good Enough For All Segmentation?
Xiangtai Li, Haobo Yuan, Wei Li et al.
OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
Han Liang, Jiacheng Bao, Ruichi Zhang et al.
Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation
Mengchen Zhang, Tong Wu, Tai Wang et al.
Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking
Jiyao Zhang, Weiyao Huang, Bo Peng et al.
OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web
Raghav Kapoor, Yash Parag Butala, Melisa A Russak et al.
OmniControl: Control Any Joint at Any Time for Human Motion Generation
Yiming Xie, Varun Jampani, Lei Zhong et al.
Omnidirectional Image Super-resolution via Bi-projection Fusion
Jiangang Wang, Yuning Cui, Yawen Li et al.
OmniGlue: Generalizable Feature Matching with Foundation Model Guidance
Hanwen Jiang, Arjun Karpur, Bingyi Cao et al.
Omni-Kernel Network for Image Restoration
Yuning Cui, Wenqi Ren, Alois Knoll
OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos
Dongyoung Choi, Hyeonjoong Jang, Min H. Kim
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
Yutao Hu, Tianbin, Quanfeng Lu et al.
OmniMotionGPT: Animal Motion Generation with Limited Data
Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan et al.
OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects
Akshay Krishnan, Abhijit Kundu, Kevis Maninis et al.
OMNI: Open-endedness via Models of human Notions of Interestingness
Jenny Zhang, Joel Lehman, Kenneth Stanley et al.
OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table Recognition
Jianqiang Wan, Sibo Song, Wenwen Yu et al.
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization:
Peijun Bao, Zihao Shao, Wenhan Yang et al.
Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding
Sai Wang, Yutian Lin, Yu Wu
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang et al.
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields
Yonggan Fu, Huaizhi Qu, Zhifan Ye et al.
OmniSat: Self-Supervised Modality Fusion for Earth Observation
Guillaume Astruc, Nicolas Gonthier, Clement Mallet et al.
OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees
Hakyeong Kim, Andreas Meuleman, Hyeonjoong Jang et al.
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
Haiyang Ying, Yixuan Yin, Jinzhi Zhang et al.
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
Jialin Wu, Xia Hu, Yaqing Wang et al.
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model
Runyi Li, Xuhan SHENG, Weiqi Li et al.
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning
Siddharth Srivastava, Gaurav Sharma
OmniViD: A Generative Framework for Universal Video Understanding
Junke Wang, Dongdong Chen, Chong Luo et al.