ECCV

Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking

Ergys Ristani, Francesco Solera, Roger S. Zou, Rita Cucchiara, Carlo Tomasi

Comments ECCV 2016 Workshop on Benchmarking Multi-Target Tracking

From Multiview Image Curves to 3D Drawings

Anil Usumezbas, Ricardo Fabbri, Benjamin B. Kimia

Comments Expanded ECCV 2016 version with tweaked figures and including an overview of the supplementary material available at multiview-3d-drawing.sourceforge.net

Journal ref Lecture Notes in Computer Science, 9908, pp 70-87, september 2016

Deep Kinematic Pose Regression

Xingyi Zhou, Xiao Sun, Wei Zhang, Shuang Liang, Yichen Wei

Comments ECCV Workshop on Geometry Meets Deep Learning, 2016

GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for Multimodal Information Fusion

Ankit Gandhi, Arjun Sharma, Arijit Biswas, Om Deshmukh

Comments To appear in ECCV workshop on Computer Vision for Audio-Visual Media, 2016

A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning

T. Nathan Mundhenk, Goran Konjevod, Wesam A. Sakla, Kofi Boakye

Comments ECCV 2016 Pre-press revision

The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better

Christopher Parker, Matthew Daiter, Kareem Omar, Gil Levi, Tal Hassner

Comments Accepted to ECCV'16 workshops

Examining Representational Similarity in ConvNets and the Primate Visual Cortex

Abhimanyu Dubey, Jayadeva, Sumeet Agarwal

Comments 4 pages, short abstract, Accepted to the Workshop on Biological and Artificial Vision, ECCV, 2016

Deep Learning the City : Quantifying Urban Perception At A Global Scale

Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A. Hidalgo

Comments 23 pages, 8 figures. Accepted to the European Conference on Computer Vision (ECCV), 2016

Reconstructing Articulated Rigged Models from RGB-D Videos

Dimitrios Tzionas, Juergen Gall

Comments Accepted for publication - European Conference on Computer Vision Workshops 2016 (ECCVW'16) - Workshop on Recovering 6D Object Pose (R6D'16)

Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning

Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang

Comments Published at ECCV 2016

Tracking Completion

Yao Sui, Guanghui Wang, Yafei Tang, Li Zhang

Comments Published at ECCV 2016

Making a Case for Learning Motion Representations with Phase

S. L. Pintea, J. C. van Gemert

Comments ECCV 2016 Workshop on Brave new ideas for motion representations in videos

3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information

Sungheon Park, Jihye Hwang, Nojun Kwak

Comments ECCV 2016 workshop

How useful is photo-realistic rendering for visual learning?

Yair Movshovitz-Attias, Takeo Kanade, Yaser Sheikh

Comments Published in GMDL 2016 In conjunction with ECCV 2016

Deep Markov Random Field for Image Modeling

Zhirong Wu, Dahua Lin, Xiaoou Tang

Comments Accepted at ECCV 2016

Object Tracking via Dynamic Feature Selection Processes

Giorgio Roffo, Simone Melzi

Comments The paper will appear in the USB ECCV workshops proceedings and on the IEEE Xplore. The results will be presented at VOT2016 workshop which will take place on 10.12 at ECCV2016. In the days following the workshop, the raw results of the submitted trackers as well as the results paper will be made publicly available from the VOT homepage

CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples

Filip Radenović, Giorgos Tolias, Ondřej Chum

Comments ECCV 2016

Structure from Motion on a Sphere

Jonathan Ventura

Comments in European Conference on Computer Vision (ECCV) 2016

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, Jose M. Alvarez

Comments Accepted in ECCV 2016

Grid Loss: Detecting Occluded Faces

Michael Opitz, Georg Waltner, Georg Poier, Horst Possegger, Horst Bischof

Comments accepted to ECCV 2016

Multi-Person Pose Estimation with Local Joint-to-Person Associations

Umar Iqbal, Juergen Gall

Comments Accepted to European Conference on Computer Vision (ECCV) Workshops, Crowd Understanding, 2016

Learning a Predictable and Generative Vector Representation for Objects

Rohit Girdhar, David F. Fouhey, Mikel Rodriguez, Abhinav Gupta

Comments To appear in ECCV 2016. Project webpage: rohitgirdhar.github.io/GenerativePredictableVoxels/

Temporal Convolutional Networks: A Unified Approach to Action Segmentation

Colin Lea, Rene Vidal, Austin Reiter, Gregory D. Hager

Comments Submitted to the ECCV workshop on "Brave new ideas for motion representations in videos" (http://bravenewmotion.github.io/)

Hard Negative Mining for Metric Learning Based Zero-Shot Classification

Maxime Bucher, Stéphane Herbin, Frédéric Jurie

Journal ref ECCV 16 WS TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision, Oct 2016, Amsterdam, Netherlands. ECCV 16 WS TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision

Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition

César Roberto de Souza, Adrien Gaidon, Eleonora Vig, Antonio Manuel López

Comments Accepted for publication in the 14th European Conference on Computer Vision (ECCV), Amsterdam, 2016, plus supplementary material

A 4D Light-Field Dataset and CNN Architectures for Material Recognition

Ting-Chun Wang, Jun-Yan Zhu, Ebi Hiroaki, Manmohan Chandraker, Alexei A. Efros, Ravi Ramamoorthi

Comments European Conference on Computer Vision (ECCV) 2016

A Recurrent Encoder-Decoder Network for Sequential Face Alignment

Xi Peng, Rogerio S. Feris, Xiaoyu Wang, Dimitris N. Metaxas

Comments European Conference on Computer Vision (ECCV), 2016

Efficient Multi-Frequency Phase Unwrapping using Kernel Density Estimation

Felix Järemo Lawin, Per-Erik Forssén, Hannes Ovrén

Comments Accepted at ECCV 2016

Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs

Youbao Tang, Xiangqian Wu

Comments 18 pages, 9 figures, accepted by ECCV 2016

Amodal Instance Segmentation

Ke Li, Jitendra Malik

Comments 23 pages, 14 figures; European Conference on Computer Vision (ECCV), 2016