Please do not flood new thread with old images The only OC allowed are custom Sims/Skyrim, etc or repurposed established characters. Preferably Hi-Res JPEG, PNG, Webm, MP4, etc. Zhengzhong Lan, Ming Lin, Xuanchong Li, Alex G.Post renders of SFM/Blender girls from your favorite games. El-MelegyĪ Dynamic Programming Approach for Fast and Robust Object Pose Recognition From Range Images Ĭhristopher Zach, Adrian Penate-Sanchez, Minh-Tri Phamīeyond Gaussian Pyramid: Multi-Skip Feature Stacking for Action Recognition Mostafa Abdelrahman, Aly Farag, David Swanson, Moumen T. Heat Diffusion Over Weighted Manifolds: A New Descriptor for Textured 3D Non-Rigid Shapes Uncalibrated Photometric Stereo Based on Elevation Angle Recovery From BRDF Symmetry of Isotropic Materials Īttributes and Categories for Generic Instance Search From One Example Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, Ming-Hsuan Yangĭata-Driven Depth Map Refinement via Multi-Scale Sparse Representation Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xilin Chen Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition Learning Multiple Visual Tasks While Discovering Their Structure Ĭarlo Ciliberto, Lorenzo Rosasco, Silvia Villa Saliency Detection via Cellular Automata Įfficient Sparse-to-Dense Optical Flow Estimation Using a Learned Basis and Layers Leveraging Stereo Matching With Learning-Based Confidence Measures Patrick Snape, Yannis Panagakis, Stefanos Zafeiriou Simone Frintrop, Thomas Werner, Germán Martin GarciaĪutomatic Construction Of Robust Spherical Harmonic Subspaces Traditional Saliency Reloaded: A Good Old Model in New Shape Nikhil Naik, Achuta Kadambi, Christoph Rhemann, Shahram Izadi, Ramesh Raskar, Sing Bing Kang Wei-Sheng Lai, Jian-Jiun Ding, Yen-Yu Lin, Yung-Yu ChuangĪ Light Transport Model for Mitigating Multipath Interference in Time-of-Flight Sensors Rahaf Aljundi, Rémi Emonet, Damien Muselet, Marc Sebbanīlur Kernel Estimation Using Normalized Color-Line Prior Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions? Supervised Discrete Hashing įumin Shen, Chunhua Shen, Wei Liu, Heng Tao Shen Yunchao Gong, Marcin Pawlowski, Fei Yang, Louis Brandy, Lubomir Bourdev, Rob FergusĮxpanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos Īlina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal Web Scale Photo Hash Clustering on A Single Machine Julian Straub, Trevor Campbell, Jonathan P. Small-Variance Nonparametric Clustering on the Hypersphere Lichtenberg, Jianxiong Xiaoĭeep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite Understanding Image Representations by Measuring Their Equivariance and Equivalence Part-Based Modelling of Compound Scenes From Images Īnton van den Hengel, Chris Russell, Anthony Dick, John Bastian, Daniel Pooley, Lachlan Fleming, Lourdes Agapito Going Deeper With Convolutions Ĭhristian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak LeeĪn Efficient Volumetric Framework for Shape Tracking īenjamin Allain, Jean-Sébastien Franco, Edmond Boyer Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction Mingsong Dou, Jonathan Taylor, Henry Fuchs, Andrew Fitzgibbon, Shahram Izadi George Papandreou, Iasonas Kokkinos, Pierre-André SavalleģD Scanning Deformable Objects With a Single RGBD Sensor Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection Hypercolumns for Object Segmentation and Fine-Grained Localization īharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra MalikĭynamicFusion: Reconstruction and Tracking of Non-Rigid Scenes in Real-Time Image and Video Processing and Restoration Reverse Engineering the Human Visual System PAMI Technical Committee/Computer Vision Foundation Meetingįacebook AI Research & New York University Attendees are advised to sit in the room corresponding to the following oral session that they plan to attend.ģD Shape: Matching, Recognition, Reconstruction The opening remarks will be made from Ballrooms A,B,C, but a live video feed will be provided to Rooms 302,304,306.
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