All Papers

Navigation Instruction Generation with BEV Perception and Large Language Models

Sheng Fan, Rui Liu, Wenguan Wang et al.

NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation

Minh-Tuan Tran, Trung Le, Xuan-May Le et al.

NB-GTR: Narrow-Band Guided Turbulence Removal

Yifei Xia, Chu Zhou, Chengxuan Zhu et al.

NC-SDF: Enhancing Indoor Scene Reconstruction Using Neural SDFs with View-Dependent Normal Compensation

Ziyi Chen, Xiaolong Wu, Yu Zhang

NC-TTT: A Noise Constrastive Approach for Test-Time Training

David OSOWIECHI, Gustavo Vargas Hakim, Mehrdad Noori et al.

ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model

Qixin Wang, Chaoqiong Fan, Tianyuan Jia et al.

NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks

Haiyan Jiang, Giulia De Masi, Huan Xiong et al.

Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks

Boheng Li, Yishuo Cai, Haowei Li et al.

Nearest Neighbour Score Estimators for Diffusion Generative Models

Matthew Niedoba, Dylan Green, Saeid Naderiparizi et al.

Near-Linear Time Approximation Algorithms for k-means with Outliers

Junyu Huang, Qilong Feng, Ziyun Huang et al.

Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization

Joe Benton, Valentin De Bortoli, Arnaud Doucet et al.

Nearly Equitable Allocations beyond Additivity and Monotonicity

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss

Hao Wang, Chenyi Zhang, Tongyang Li

Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback

Asaf Cassel, Haipeng Luo, Aviv Rosenberg et al.

Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints

Dan Qiao, Yu-Xiang Wang

Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers

Yuhao Yi, Ronghui You, Hong Liu et al.

Near-Optimal Solutions of Constrained Learning Problems

Juan Elenter, Luiz Chamon, Alejandro Ribeiro

NEAT: Distilling 3D Wireframes from Neural Attraction Fields

Nan Xue, Bin Tan, Yuxi Xiao et al.

NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs

Sihwa Park, Seongjun Kim, Doeyoung Kwon et al.

NECA: Neural Customizable Human Avatar

Junjin Xiao, Qing Zhang, Zhan Xu et al.

NECO: NEural Collapse Based Out-of-distribution detection

Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu et al.

NEFTune: Noisy Embeddings Improve Instruction Finetuning

Neel Jain, Ping-yeh Chiang, Yuxin Wen et al.

Negative Label Guided OOD Detection with Pretrained Vision-Language Models

Xue JIANG, Feng Liu, Zhen Fang et al.

Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation

Ziqi Wang, Chengpeng Hu, Jialin Liu et al.

Negative Pre-aware for Noisy Cross-Modal Matching

Xu Zhang, Hao Li, Mang Ye

NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Resolution

Yexing Song, Meilin Wang, Zhijing Yang et al.

Neighborhood-Enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-Range Outdoor Scenes

Jingyi Zhang, Qihong Mao, Guosheng Hu et al.

Neighboring Perturbations of Knowledge Editing on Large Language Models

Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang et al.

Neighbor Relations Matter in Video Scene Detection

Jiawei Tan, Hongxing Wang, Jiaxin Li et al.

NeISF: Neural Incident Stokes Field for Geometry and Material Estimation

Chenhao Li, Taishi Ono, Takeshi Uemori et al.

NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis

Zinuo You, Andreas Geiger, Anpei Chen

Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models

Shuai Fu, Shuai Fu, Xiequn Wang et al.

NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration

Lin Tian, Thomas H Greer, Raul San Jose Estepar et al.

NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs

Michael Fischer, Zhengqin Li, Thu Nguyen-Phuoc et al.

NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation

Sicheng Li, Hao Li, Yiyi Liao et al.

NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows

Zhenggang Tang, Jason Ren, Xiaoming Zhao et al.

NeRF Director: Revisiting View Selection in Neural Volume Rendering

Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal et al.

NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation

Jiahao Chen, Yipeng Qin, Lingjie Liu et al.

NeRFiller: Completing Scenes via Generative 3D Inpainting

Ethan Weber, Aleksander Holynski, Varun Jampani et al.

NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields

Junge Zhang, Feihu Zhang, Shaochen Kuang et al.

NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields

Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini et al.

NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild

Weining Ren, Zihan Zhu, Boyang Sun et al.

NeRF-XL: NeRF at Any Scale with Multi-GPU

Ruilong Li, Sanja Fidler, Angjoo Kanazawa et al.

NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis

Dong Wei, Huaijiang Sun, Bin Li et al.

NeRMo: Learning Implicit Neural Representations for 3D Human Motion Prediction

Dong Wei, Huaijiang Sun, Xiaoning Sun et al.

NeRSP: Neural 3D Reconstruction for Reflective Objects with Sparse Polarized Images

Yufei Han, Heng Guo, Koki Fukai et al.

NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning

Bo Xiong, Mojtaba Nayyeri, Linhao Luo et al.

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation

Abbvavaram Gowtham Reddy, Vineeth N Balasubramanian

Nesting Particle Filters for Experimental Design in Dynamical Systems

Sahel Iqbal, Adrien Corenflos, Simo Särkkä et al.

NeSyFOLD: A Framework for Interpretable Image Classification

Parth Padalkar, Huaduo Wang, Gopal Gupta