Papers
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
Simin Chen, Zihe Song, Mirazul Haque et al.
NightLab: A Dual-Level Architecture With Hardness Detection for Segmentation at Night
Xueqing Deng, Peng Wang, Xiaochen Lian et al.
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning
Tony Ng, Hyo Jin Kim, Vincent T. Lee et al.
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks
Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis
NOC-REK: Novel Object Captioning With Retrieved Vocabulary From External Knowledge
Duc Minh Vo, Hong Chen, Akihiro Sugimoto et al.
Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification
Yonghang Guan, Jun Zhang, Kuan Tian et al.
NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration
Yifan Wu, Tom Z. Jiahao, Jiancong Wang et al.
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization
Wei Dong, Junsheng Wu, Yi Luo et al.
Noise2NoiseFlow: Realistic Camera Noise Modeling Without Clean Images
Ali Maleky, Shayan Kousha, Michael S. Brown et al.
Noise Distribution Adaptive Self-Supervised Image Denoising Using Tweedie Distribution and Score Matching
Kwanyoung Kim, Taesung Kwon, Jong Chul Ye
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning
Jiexi Yan, Lei Luo, Chenghao Xu et al.
Noisy Boundaries: Lemon or Lemonade for Semi-Supervised Instance Segmentation?
Zhenyu Wang, Yali Li, Shengjin Wang
NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition
Hao Liu, Xinghua Jiang, Xin Li et al.
Non-Generative Generalized Zero-Shot Learning via Task-Correlated Disentanglement and Controllable Samples Synthesis
Yaogong Feng, Xiaowen Huang, Pengbo Yang et al.
Non-Isotropy Regularization for Proxy-Based Deep Metric Learning
Karsten Roth, Oriol Vinyals, Zeynep Akata
Non-Iterative Recovery From Nonlinear Observations Using Generative Models
Jiulong Liu, Zhaoqiang Liu
Non-Parametric Depth Distribution Modelling Based Depth Inference for Multi-View Stereo
Jiayu Yang, Jose M. Alvarez, Miaomiao Liu
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction
Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
Zechun Liu, Kwang-Ting Cheng, Dong Huang et al.
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces
Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu et al.
No-Reference Point Cloud Quality Assessment via Domain Adaptation
Qi Yang, Yipeng Liu, Siheng Chen et al.
Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection
Ismail Elezi, Zhiding Yu, Anima Anandkumar et al.
Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds
Yifan Zhang, Qingyong Hu, Guoquan Xu et al.
Not All Relations Are Equal: Mining Informative Labels for Scene Graph Generation
Arushi Goel, Basura Fernando, Frank Keller et al.
Not All Tokens Are Equal: Human-Centric Visual Analysis via Token Clustering Transformer
Wang Zeng, Sheng Jin, Wentao Liu et al.