Workshop papers final
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9:30Breakfast with coffee
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10:00Welcome
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10:10MIT Media LabAchuta Kadambi, Vage Taamazyan, Boxin Shi, and Ramesh RaskarPolarized 3D: High-Quality Depth Sensing with Polarization Cues
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10:25UMass Amherst
Tsung-Yu, Aruni RoyChowdhury, Subhransu Maji
Bilinear CNN Models for Fine-Grained Visual Recognition
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10:40Dartmouth, FacebookDu Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar PaluriLearning Spatiotemporal Features with 3D Convolutional Networks
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10:55MIT, HarvardKatherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Andrew A. Chael, Sheperd S. Doeleman, William T. FreemanHigh Resolution Celestial Imaging: An Algorithm and Dataset for VLBI Image Reconstruction
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11:10MITJiajun Wu, Ilker Yildirim, Joseph J. Lim, William T. Freeman, Joshua B. TenenbaumGalileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
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11:25BrownZhile Ren, Erik B. SudderthThree-Dimensional Object Detection using Clouds of Oriented Gradients
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11:50Lunch at blue wall
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13:00Poster session with coffee
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15:00Harvard,MIT,Weizman, UCIIoannis Gkioulekas, Kavita Bala, Frédo Durand, Anat Levin, Shuant Zhao, Todd ZicklerComputational Imaging for Inverse Scattering
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15:15UMass LowellXingchao Peng, Baochen Sun, Karim Ali, Kate SaenkoLearning Deep Object Detectors from 3D Models
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15:30NESheng Li, Kang Li, Yun FuTemporal Subspace Clustering for Human Motion Segmentation
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15:45UMass AmherstHang Su, Subhransu Maji, Evangelos Kalogerakis, Erik Learned-Miller,Multi-view Convolutional Neural Networks for 3D Shape Recognition
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16:00Dartmouth, GoogleLoris Bazzani, Alessandro Bergamo, Dragomir Anguelov, Lorenzo TorresaniSelf-Taught Object Localization with Deep Networks
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16:15MIT, BerkeleyAndrew Owens, Phillip Isola, Josh McDermott, Antonio Torralba, Edward Adelson, William FreemanVisually Indicated Sounds
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16:30NortheasternYu Kong, Yun FuBilinear Heterogeneous Information Machine for RGB-D Action Recognition
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16:45UMass LowellHuijuan Xu, Kate SaenkoVideo Description Generation
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List of posters (excluding the talks)
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Brown, OxfordSobhan Naderi, Andrea Vedaldi, Andrew Zisserman, Pedro FelzenszwalbAutomatic Discovery and Optimization of Parts for Image Classification
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Harvard, Un. of FloridaEmma Alexander, Sanjeev Koppal, Todd ZicklerDepth and Velocity from an Aperture Code and Motion
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Lowell, BerkeleyBaochen Sun, Jiashi Feng, Kate SaenkoReturn of Frustratingly Easy Domain Adaptation
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MITOren Freifeld, Søren Hauberg, Kayhan Batmanghelich, John W. FisherHighly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple
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MIT (AI)Tianfan Xue*, Jiajun Wu*, Joseph J. Lim, Antonio Torralba, William T. Freeman3D Structure Prediction using Convolutional Neural Network
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MIT Media LabGuy Satat, Barmak Heshmat, Dan Raviv, Ramesh RaskarImaging Through Thick Turbid Medium Using Time-Resolved Measurement
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MIT Media LabNikhil NaikVisual Urban Computing: Social Science of Cities at an Unprecedented Scale using Big Visual Data
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MIT Media LabTristan Swedish, George Leifman, Karin Roesch, Devesh Jain, Ramesh RaskarAutomated System for Self Assessment of Disease in the Retina
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MIT Media LabAyush Bhandari, Aurélien Bourquard and Ramesh RaskarTime-Resolved Image Demixing via ToF Sensors
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MIT, Intel, CINVESTAVGeorge Leifman, Tristan Swedish, Karin Roesch, Dmitry Rudoy, Eduardo Bayro Corrochano, Ramesh RaskarDAViS: Depth-Aware Video Saliency
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MIT, MarylandCarl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio TorralbaLearning Visual Biases from Human Imagination
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NortheasternMing Shao, Yun FuGeneralized Transfer Subspace Learning through Low-rank Constraint
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NortheasternChengcheng Jia, Yun FuLatent Tensor Transfer Learning for RGB-D Action Recognition
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NortheasternHandong Zhao, Yun FuPart-Level Regularized Semi-Nonnegative Coding for Image Representatiion
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NortheasternShuyang Wang, Yun FuLocality-Constrained Discriminative Learning and Coding
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NortheasternZhengming Ding, Yun FuCollective Low-Rank Subspace for Multi-view Learning
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NortheasternHongfu Liu, Yun FuSpectral Ensemble Clustering
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UMass AmherstPia Bideau, Erik Learned-MillerSeeing the Invisible: Motion Segmentation of Camouflaged Animals
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UMass AmherstLi Yang Ku, Mitchell Hebert, Erik Learned-Miller, and Rod GrupenModeling Objects to Support Manipulation Based on Memory and Observation
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UMass AmherstZhaoliang Lun, Evangelos Kalogerakis, Alla Sheffer, Rui WangLearning Shape Style Similarity
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