All Papers
34,598 papers found • Page 551 of 692
Conference
Image Neural Field Diffusion Models
Yinbo Chen, Oliver Wang, Richard Zhang et al.
ImagenHub: Standardizing the evaluation of conditional image generation models
Max Ku, Tianle Li, Kai Zhang et al.
Image Processing GNN: Breaking Rigidity in Super-Resolution
Yuchuan Tian, Hanting Chen, Chao Xu et al.
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
Tomer Garber, Tom Tirer
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
Yue Conghan, Zhengwei Peng, Junlong Ma et al.
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually
Mazal Bethany, Brandon Wherry, Nishant Vishwamitra et al.
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models
Yifan Li, hangyu guo, Kun Zhou et al.
Image Sculpting: Precise Object Editing with 3D Geometry Control
Jiraphon Yenphraphai, Xichen Pan, Sainan Liu et al.
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
Ji-Jia Wu, Andy Chia-Hao Chang, Chieh-Yu Chuang et al.
Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation
Yuan Wang, Rui Sun, Naisong Luo et al.
Image-to-Lidar Relational Distillation for Autonomous Driving Data
Anas Mahmoud, Ali Harakeh, Steven Waslander
Image Translation as Diffusion Visual Programmers
Cheng Han, James Liang, Qifan Wang et al.
Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation
Sixian Zhang, Xinyao Yu, Xinhang Song et al.
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
Zeyang Liu, Lipeng Wan, Xinrui Yang et al.
Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems
Ziyuan Luo, Boxin Shi, Haoliang Li et al.
Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Sophie Laus et al.
iMatching: Imperative Correspondence Learning
Chen Wang, Dasong Gao, Yun-Jou Lin et al.
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
Xiaobao Wei, Jiajun Cao, Yizhu Jin et al.
I'M HOI: Inertia-aware Monocular Capture of 3D Human-Object Interactions
Chengfeng Zhao, Juze Zhang, Jiashen Du et al.
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
Huy Hoang, Tien Mai, Pradeep Varakantham
Imitation Learning from Observation with Automatic Discount Scheduling
Yuyang Liu, Weijun Dong, Yingdong Hu et al.
Imitation Learning from Purified Demonstrations
Yunke Wang, Minjing Dong, Yukun Zhao et al.
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Luca Viano, EFSTRATIOS PANTELEIMON SKOULAKIS, Volkan Cevher
Imitation of Life: A Search Engine for Biologically Inspired Design
Hen Emuna, Nadav Borenstein, Xin Qian et al.
IMMA: Immunizing text-to-image Models against Malicious Adaptation
Amber Yijia Zheng, Raymond Yeh
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
Wenhan Cao, Wei Pan
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
Kate Donahue, Nicole Immorlica, Meena Jagadeesan et al.
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
Dongping Liao, Xitong Gao, Chengzhong Xu
Implications of Distance over Redistricting Maps: Central and Outlier Maps
Seyed Esmaeili, Darshan Chakraborty, Hayley Grape et al.
Implicit Bias of AdamW: $\ell_\infty$-Norm Constrained Optimization
Shuo Xie, Zhiyuan Li
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
Noam Razin, Yotam Alexander, Edo Cohen-Karlik et al.
Implicit bias of SGD in $L_2$-regularized linear DNNs: One-way jumps from high to low rank
Zihan Wang, Arthur Jacot
Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
Yijun Wan, Melih Barsbey, Abdellatif Zaidi et al.
Implicit Concept Removal of Diffusion Models
Zhili LIU, Kai Chen, Yifan Zhang et al.
Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification
kaijie ren, Lei Zhang
Implicit Event-RGBD Neural SLAM
Delin Qu, Chi Yan, Dong Wang et al.
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
Shengtao Li, Ge Gao, Yudong Liu et al.
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
Robert Peach, Matteo Vinao-Carl, Nir Grossman et al.
Implicit Maximum a Posteriori Filtering via Adaptive Optimization
Gianluca Bencomo, Jake Snell, Thomas L. Griffiths
Implicit meta-learning may lead language models to trust more reliable sources
Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Mlodozeniec et al.
Implicit Modeling of Non-rigid Objects with Cross-Category Signals
Yuchun Liu, Benjamin Planche, Meng Zheng et al.
Implicit Motion Function
Yue Gao, Jiahao Li, Lei Chu et al.
Implicit Neural Models to Extract Heart Rate from Video
Pradyumna Chari, Anirudh Bindiganavale Harish, Adnan Armouti et al.
Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning
Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou
Implicit Neural Representations and the Algebra of Complex Wavelets
T Mitchell Roddenberry, Vishwanath Saragadam, Maarten V de Hoop et al.
Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
Zach Robertson, Sanmi Koyejo
Implicit regularization of deep residual networks towards neural ODEs
Pierre Marion, Yu-Han Wu, Michael Sander et al.
Implicit Representations for Constrained Image Segmentation
Jan Philipp Schneider, Mishal Fatima, Jovita Lukasik et al.
Implicit Representations via Operator Learning
Sourav Pal, Harshavardhan Adepu, Clinton Wang et al.
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
Ilya Shenbin, Sergey Nikolenko