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ORCID14th ECCV Workshops 2016: Amsterdam, The Netherlands - Volume 3
- Gang Hua, Hervé Jégou:
Computer Vision - ECCV 2016 Workshops - Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9915, 2016, ISBN 978-3-319-49408-1
W04 - Brave New Ideas For Motion Representations (Continued)
- Jason J. Yu
, Adam W. Harley, Konstantinos G. Derpanis:
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness. 3-10 - Yun He, Soma Shirakabe, Yutaka Satoh, Hirokatsu Kataoka:
Human Action Recognition Without Human. 11-17 - Hirokatsu Kataoka, Yun He, Soma Shirakabe, Yutaka Satoh:
Motion Representation with Acceleration Images. 18-24 - Giovanni Cuffaro, Federico Becattini, Claudio Baecchi, Lorenzo Seidenari, Alberto Del Bimbo:
Segmentation Free Object Discovery in Video. 25-31 - Agne Grinciunaite, Amogh Gudi, H. Emrah Tasli, Marten den Uyl:
Human Pose Estimation in Space and Time Using 3D CNN. 32-39 - Mona Fathollahi, Rangachar Kasturi:
Autonomous Driving Challenge: To Infer the Property of a Dynamic Object Based on Its Motion Pattern. 40-46 - Colin Lea, René Vidal, Austin Reiter, Gregory D. Hager:
Temporal Convolutional Networks: A Unified Approach to Action Segmentation. 47-54 - Silvia L. Pintea, Jan C. van Gemert:
Making a Case for Learning Motion Representations with Phase. 55-64
W06 - Geometry Meets Deep Learning
- Ankur Handa, Michael Bloesch, Viorica Patraucean, Simon Stent, John McCormac, Andrew J. Davison:
gvnn: Neural Network Library for Geometric Computer Vision. 67-82 - Tommaso Cavallari, Luigi Di Stefano:
On-Line Large Scale Semantic Fusion. 83-99 - Karel Lenc, Andrea Vedaldi:
Learning Covariant Feature Detectors. 100-117 - Ludovico Minto, Giampaolo Pagnutti, Pietro Zanuttigh:
Scene Segmentation Driven by Deep Learning and Surface Fitting. 118-132 - Achkan Salehi, Vincent Gay-Bellile, Steve Bourgeois, Frédéric Chausse:
Improving Constrained Bundle Adjustment Through Semantic Scene Labeling. 133-142 - Aaron S. Jackson, Michel F. Valstar, Georgios Tzimiropoulos:
A CNN Cascade for Landmark Guided Semantic Part Segmentation. 143-155 - Sungheon Park, Jihye Hwang, Nojun Kwak:
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information. 156-169 - Pol Moreno, Christopher K. I. Williams, Charlie Nash, Pushmeet Kohli:
Overcoming Occlusion with Inverse Graphics. 170-185 - Xingyi Zhou, Xiao Sun, Wei Zhang, Shuang Liang, Yichen Wei:
Deep Kinematic Pose Regression. 186-201 - Yair Movshovitz-Attias, Takeo Kanade, Yaser Sheikh:
How Useful Is Photo-Realistic Rendering for Visual Learning? 202-217 - David Novotný, Diane Larlus, Andrea Vedaldi:
Learning the Structure of Objects from Web Supervision. 218-235 - Abhishek Sharma, Oliver Grau, Mario Fritz:
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels. 236-250 - Xinhan Di, Rozenn Dahyot, Mukta Prasad:
Deep Shape from a Low Number of Silhouettes. 251-265 - Edward Grant, Pushmeet Kohli, Marcel van Gerven:
Deep Disentangled Representations for Volumetric Reconstruction. 266-279 - Arun C. S. Kumar, András Bódis-Szomorú, Suchendra M. Bhandarkar, Mukta Prasad:
Class-Specific Object Pose Estimation and Reconstruction Using 3D Part Geometry. 280-295 - Stefan Kinauer, Maxim Berman, Iasonas Kokkinos:
Monocular Surface Reconstruction Using 3D Deformable Part Models. 296-308
W09 - ChaLearn Looking at People Workshop on Apparent Personality Analysis and First Impressions Challenge
- Chen-Lin Zhang, Hao Zhang, Xiu-Shen Wei, Jianxin Wu:
Deep Bimodal Regression for Apparent Personality Analysis. 311-324 - Iiris Lüsi, Sergio Escalera, Gholamreza Anbarjafari:
SASE: RGB-Depth Database for Human Head Pose Estimation. 325-336 - Arulkumar Subramaniam, Vismay Patel, Ashish Mishra, Prashanth Balasubramanian, Anurag Mittal:
Bi-modal First Impressions Recognition Using Temporally Ordered Deep Audio and Stochastic Visual Features. 337-348 - Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier:
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition. 349-358 - Zoltán Tosér, László A. Jeni, András Lörincz, Jeffrey F. Cohn:
Deep Learning for Facial Action Unit Detection Under Large Head Poses. 359-371 - Furkan Gürpinar, Heysem Kaya, Albert Ali Salah:
Combining Deep Facial and Ambient Features for First Impression Estimation. 372-385 - P. Daphne Tsatsoulis, Paige Kordas, Michael Marshall, David A. Forsyth, Agata Rozga:
The Static Multimodal Dyadic Behavior Dataset for Engagement Prediction. 386-399 - Víctor Ponce-López, Baiyu Chen, Marc Oliu, Ciprian A. Corneanu, Albert Clapés, Isabelle Guyon, Xavier Baró, Hugo Jair Escalante, Sergio Escalera:
ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results. 400-418 - Baiyu Chen, Sergio Escalera, Isabelle Guyon, Víctor Ponce-López, Nihar B. Shah, Marc Oliu Simon:
Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits. 419-432
W13 - Transferring and Adapting Source Knowledge in Computer Vision
- Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell:
Best Practices for Fine-Tuning Visual Classifiers to New Domains. 435-442 - Baochen Sun, Kate Saenko:
Deep CORAL: Correlation Alignment for Deep Domain Adaptation. 443-450 - Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan:
Nonlinear Embedding Transform for Unsupervised Domain Adaptation. 451-457 - Gabriela Csurka, Boris Chidlovskii, Stéphane Clinchant, Sophia Michel:
Unsupervised Domain Adaptation with Regularized Domain Instance Denoising. 458-466 - Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min:
Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers. 467-474 - Tatiana Tommasi, Martina Lanzi, Paolo Russo, Barbara Caputo:
Learning the Roots of Visual Domain Shift. 475-482 - Shreyas Saxena, Jakob Verbeek:
Heterogeneous Face Recognition with CNNs. 483-491 - Dan Yu, Xiao-Jun Wu:
VLAD Is not Necessary for CNN. 492-499 - Elnaz Jahani Heravi, Hamed Habibi Aghdam, Domenec Puig:
Training a Mentee Network by Transferring Knowledge from a Mentor Network. 500-507 - Rahaf Aljundi, Tinne Tuytelaars:
Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction. 508-515 - Aishwarya Jadhav, Vinay P. Namboodiri, K. S. Venkatesh:
Deep Attributes for One-Shot Face Recognition. 516-523 - Maxime Bucher, Stéphane Herbin, Frédéric Jurie:
Hard Negative Mining for Metric Learning Based Zero-Shot Classification. 524-531 - Neslihan Bayramoglu, Janne Heikkilä:
Transfer Learning for Cell Nuclei Classification in Histopathology Images. 532-539 - P. Daphne Tsatsoulis, Bryan A. Plummer, David A. Forsyth:
Visual Analogies: A Framework for Defining Aspect Categorization. 540-547
W14 - Recovering 6D Object Pose
- Byung-Kuk Seo, Harald Wuest:
A Direct Method for Robust Model-Based 3D Object Tracking from a Monocular RGB Image. 551-562 - Federico Tombari, Samuele Salti, Luca Puglia, Giancarlo Raiconi, Luigi Di Stefano:
A Radial Search Method for Fast Nearest Neighbor Search on Range Images. 563-577 - Karel Lebeda, Simon Hadfield, Richard Bowden:
Direct-from-Video: Unsupervised NRSfM. 578-594 - Shuichi Akizuki, Manabu Hashimoto:
Physical Reasoning for 3D Object Recognition Using Global Hypothesis Verification. 595-605 - Tomas Hodan, Jiri Matas, Stepán Obdrzálek:
On Evaluation of 6D Object Pose Estimation. 606-619 - Dimitrios Tzionas, Juergen Gall:
Reconstructing Articulated Rigged Models from RGB-D Videos. 620-633 - Daniele De Gregorio, Federico Tombari, Luigi Di Stefano:
RobotFusion: Grasping with a Robotic Manipulator via Multi-view Reconstruction. 634-647 - Tommaso Cavallari, Luigi Di Stefano:
SemanticFusion: Joint Labeling, Tracking and Mapping. 648-664 - Hector Basevi, Ales Leonardis:
Towards Categorization and Pose Estimation of Sets of Occluded Objects in Cluttered Scenes from Depth Data and Generic Object Models Using Joint Parsing. 665-681
W18 - Local Features: State of the Art, Open Problems and Performance Evaluation
- Christopher Parker, Matthew Daiter, Kareem Omar, Gil Levi, Tal Hassner:
The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better. 685-697 - Philipp Tiefenbacher, Julian Heuser, Timo Schulze, Mohammadreza Babaee, Gerhard Rigoll:
Sensor Fusion for Sparse SLAM with Descriptor Pooling. 698-710 - Johan Johansson, Martin Solli, Atsuto Maki:
An Evaluation of Local Feature Detectors and Descriptors for Infrared Images. 711-723 - Hao Zhou, Torsten Sattler, David W. Jacobs:
Evaluating Local Features for Day-Night Matching. 724-736 - Song Wu, Michael S. Lew:
Image Correspondences Matching Using Multiple Features Fusion. 737-746 - Harald Hanselmann, Hermann Ney:
Learning Local Convolutional Features for Face Recognition with 2D-Warping. 747-758 - Andrzej Sluzek:
Improving Performances of MSER Features in Matching and Retrieval Tasks. 759-770
W20 - The Second International Workshop on Video Segmentation
- Anna Khoreva, Rodrigo Benenson, Fabio Galasso, Matthias Hein, Bernt Schiele:
Improved Image Boundaries for Better Video Segmentation. 773-788 - Margret Keuper, Thomas Brox:
Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency. 789-803 - Siva Karthik Mustikovela, Michael Ying Yang, Carsten Rother:
Can Ground Truth Label Propagation from Video Help Semantic Segmentation? 804-820 - Xiao Lin, Josep R. Casas, Montse Pardàs:
3D Point Cloud Video Segmentation Based on Interaction Analysis. 821-835 - Sankaraganesh Jonna, Krishna K. Nakka, Rajiv R. Sahay:
Deep Learning Based Fence Segmentation and Removal from an Image Using a Video Sequence. 836-851 - Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell:
Clockwork Convnets for Video Semantic Segmentation. 852-868
W25 - 1st International Workshop on Virtual/Augmented Reality for Visual Artificial Intelligence (VARVAI)
- Matthew Trumble, Andrew Gilbert, Adrian Hilton, John P. Collomosse:
Learning Markerless Human Pose Estimation from Multiple Viewpoint Video. 871-878 - James Charles, Derek R. Magee, David C. Hogg:
Virtual Immortality: Reanimating Characters from TV Shows. 879-886 - Mike Kasper, Nima Keivan, Gabe Sibley, Christoffer R. Heckman:
Light Source Estimation in Synthetic Images. 887-893 - Saad Minhas, Aura Hernández-Sabaté, Shoaib Ehsan, Katerine Díaz-Chito, Ales Leonardis, Antonio M. López, Klaus D. McDonald-Maier:
LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-driving Mode. 894-900 - Elena Sizikova, Vivek Kumar Singh, Bogdan Georgescu, Maciej Halber, Kai Ma, Terrence Chen:
Enhancing Place Recognition Using Joint Intensity - Depth Analysis and Synthetic Data. 901-908 - Weichao Qiu, Alan L. Yuille:
UnrealCV: Connecting Computer Vision to Unreal Engine. 909-916
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