Papers
176,624 papers found
Joint SFM and Detection Cues for Monocular 3D Localization in Road Scenes
Shiyu Song, Manmohan Chandraker
Joint Tracking and Segmentation of Multiple Targets
Anton Milan, Laura Leal-Taixe, Konrad Schindler et al.
Joint Vanishing Point Extraction and Tracking
Till Kroeger, Dengxin Dai, Luc Van Gool
JOTS: Joint Online Tracking and Segmentation
Longyin Wen, Dawei Du, Zhen Lei et al.
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
Jonathan Huggins, Karthik Narasimhan, Ardavan Saeedi et al.
Just Noticeable Defocus Blur Detection and Estimation
Jianping Shi, Li Xu, Jiaya Jia
Just Noticeable Differences in Visual Attributes
Aron Yu, Kristen Grauman
Kernel Fusion for Better Image Deblurring
Long Mai, Feng Liu
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Andrew Wilson, Hannes Nickisch
K-hyperplane Hinge-Minimax Classifier
Margarita Osadchy, Tamir Hazan, Daniel Keren
KL Divergence Based Agglomerative Clustering for Automated Vitiligo Grading
Mithun Das Gupta, Srinidhi Srinivasa, Madhukara J. et al.
kNN Hashing With Factorized Neighborhood Representation
Kun Ding, Chunlei Huo, Bin Fan et al.
Kullback-Leibler Proximal Variational Inference
Mohammad Emtiyaz Khan, Pierre Baque, François Fleuret et al.
L0TV: A New Method for Image Restoration in the Presence of Impulse Noise
Ganzhao Yuan, Bernard Ghanem
Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction
Yan Luo, Yongkang Wong, Qi Zhao
Label optimal regret bounds for online local learning
Pranjal Awasthi, Moses Charikar, Kevin A Lai et al.
Landmarking Manifolds with Gaussian Processes
Dawen Liang, John Paisley
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation
Rahaf Aljundi, Remi Emonet, Damien Muselet et al.
Large Displacement 3D Scene Flow With Occlusion Reasoning
Andrei Zanfir, Cristian Sminchisescu
Large-Scale and Drift-Free Surface Reconstruction Using Online Subvolume Registration
Nicola Fioraio, Jonathan Taylor, Andrew Fitzgibbon et al.
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings
Piyush Rai, Changwei Hu, Ricardo Henao et al.
Large-Scale Damage Detection Using Satellite Imagery
Lionel Gueguen, Raffay Hamid
Large-scale Distributed Dependent Nonparametric Trees
Zhiting Hu, Ho Qirong, Avinava Dubey et al.
Large-scale log-determinant computation through stochastic Chebyshev expansions
Insu Han, Dmitry Malioutov, Jinwoo Shin
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing
Yasin Abbasi-Yadkori, Peter Bartlett, Xi Chen et al.