Papers
8,506 papers found
Integrating Dashcam Views Through Inter-Video Mapping
Hsin-I Chen, Yi-Ling Chen, Wei-Tse Lee et al.
Interactive Visual Hull Refinement for Specular and Transparent Object Surface Reconstruction
Xinxin Zuo, Chao Du, Sen Wang et al.
Interpolation on the Manifold of K Component GMMs
Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee et al.
Intrinsic Decomposition of Image Sequences From Local Temporal Variations
Pierre-Yves Laffont, Jean-Charles Bazin
Intrinsic Depth: Improving Depth Transfer With Intrinsic Images
Naejin Kong, Michael J. Black
Intrinsic Scene Decomposition From RGB-D images
Mohammed Hachama, Bernard Ghanem, Peter Wonka
Introducing Geometry in Active Learning for Image Segmentation
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
Joint Camera Clustering and Surface Segmentation for Large-Scale Multi-View Stereo
Runze Zhang, Shiwei Li, Tian Fang et al.
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition
Heechul Jung, Sihaeng Lee, Junho Yim et al.
Joint Object and Part Segmentation Using Deep Learned Potentials
Peng Wang, Xiaohui Shen, Zhe Lin et al.
Joint Optimization of Segmentation and Color Clustering
Ekaterina Lobacheva, Olga Veksler, Yuri Boykov
Joint Probabilistic Data Association Revisited
Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang et al.
Just Noticeable Differences in Visual Attributes
Aron Yu, Kristen Grauman
kNN Hashing With Factorized Neighborhood Representation
Kun Ding, Chunlei Huo, Bin Fan et al.
Large Displacement 3D Scene Flow With Occlusion Reasoning
Andrei Zanfir, Cristian Sminchisescu
Learning a Descriptor-Specific 3D Keypoint Detector
Samuele Salti, Federico Tombari, Riccardo Spezialetti et al.
Learning a Discriminative Model for the Perception of Realism in Composite Images
Jun-Yan Zhu, Philipp Krahenbuhl, Eli Shechtman et al.
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images
Alexander Krull, Eric Brachmann, Frank Michel et al.
Learning Binary Codes for Maximum Inner Product Search
Fumin Shen, Wei Liu, Shaoting Zhang et al.
Learning Common Sense Through Visual Abstraction
Ramakrishna Vedantam, Xiao Lin, Tanmay Batra et al.
Learning Complexity-Aware Cascades for Deep Pedestrian Detection
Zhaowei Cai, Mohammad Saberian, Nuno Vasconcelos
Learning Concept Embeddings With Combined Human-Machine Expertise
Michael Wilber, Iljung S. Kwak, David Kriegman et al.
Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition
Tinghui Zhou, Philipp Krahenbuhl, Alexei A. Efros
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
Learning Deep Object Detectors From 3D Models
Xingchao Peng, Baochen Sun, Karim Ali et al.