Proceedings of the British Machine Vision Conference 2016
Editors: Richard C. Wilson, Edwin R. Hancock and William A. P. Smith
BMVA Press, September 2016, ISBN 1-901725-59-6
Book of Abstracts (PDF, 206 pages, 172M)
Tutorial
Keynote 1
Segmentation
Posters 1
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Multi-view Multi-illuminant Intrinsic Dataset
Shida Beigpour, Mai Lan Ha, Sven Kunz, Andreas Kolb and Volker Blanz
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Accurate Closed-form Estimation of Local Affine Transformations Consistent with the Epipolar Geometry
Daniel Barath, Jiri Matas and Levente Hajder
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Recognition of Transitional Action for Short-Term Action Prediction using Discriminative Temporal CNN Feature
Hirokatsu Kataoka, Yudai Miyashita, Masaki Hayashi, Kenji Iwata and Yutaka Satoh
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Multi-H: Efficient recovery of tangent planes in stereo images
Daniel Barath, Jiri Matas and Levente Hajder
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Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification
Weiyang Liu, Zhiding Yu, Yandong Wen, Rongmei Lin and Meng Yang
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A MultiPath Network for Object Detection
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro O. Pinheiro, Sam Gross, Soumith Chintala and Piotr Dollar
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Fast Eigen Matching
Yusuke Sekikawa, Koichiro Suzuki, Yuichi Yoshida, Kosuke Hara and Ikuro Sato
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Recoding Color Transfer as A Color Homography
Han Gong, Graham Finlayson and Robert Fisher
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Pose-Robust 3D Facial Landmark Estimation from a Single 2D Image
Brandon Smith and Charles Dyer
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Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Anurag Arnab and Philip Torr
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Horizon Lines in the Wild
Scott Workman, Menghua Zhai and Nathan Jacobs
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An Octree-Based Approach towards Efficient Variational Range Data Fusion
Wadim Kehl, Tobias Holl, Federico Tombari, Slobodan Ilic and Nassir Navab
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Finsler Geodesics Evolution Model for Region based Active Contours
Da Chen, Jean-Marie Mirebeau and Laurent Cohen
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Patch Based Confidence Prediction for Dense Disparity Map
Akihito Seki and Marc Pollefeys
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Boosted Convolutional Neural Networks
Mohammad Moghimi, Serge Belongie, Mohammad Saberian, Jian Yang, Nuno Vasconcelos and Li-Jia Li
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Material-Specific Chromaticity Priors
Jeroen Put and Nick Michiels
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Play and Learn: Using Video Games to Train Computer Vision Models
Alireza Shafaei, James Little and Mark Schmidt
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SDF-TAR: Parallel Tracking and Refinement in RGB-D Data using Volumetric Registration
Miroslava Slavcheva and Slobodan Ilic
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Probabilistic Semi-Supervised Multi-Modal Hashing
Behnam Gholami and Abolfazl Hajisami
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Learning to Invert Local Binary Patterns
Felix Juefei-Xu and Marios Savvides
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Probabilistic Compositional Active Basis Models for Robust Pattern Recognition
Adam Kortylewski and Thomas Vetter
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Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment
Qiang Zhang and Abhir Bhalerao
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Dictionary Replacement for Single Image Restoration of 3D Scenes.
Nimisha T M, Arun Mathamkode and Rajagopalan Ambasamudram
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Poisson Noise Removal for Image Demosaicing
Sukanya Patil and Ajit Rajwade
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Factorized Binary Codes for Large-Scale Nearest Neighbor Search
Frederick Tung and James Little
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Edge Enhanced Direct Visual Odometry
Xin Wang, Wei Dong, Mingcai Zhou, Renju Li and Hongbin Zha
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Optimised photometric stereo via non-convex variational minimisation
Laurent Hoeltgen, Yvain Queau, Michael Breuß and Georg Radow
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U-shaped Networks for Shape from Light Field
Stefan Heber, Wei Yu and Thomas Pock
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Using Shading and a 3D Template to Reconstruct Complex Surface Deformations
Mathias Gallardo, Toby Collins and Adrien Bartoli
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Physics 101: Learning Physical Object Properties from Unlabeled Videos
Jiajun Wu, Joseph Lim, Hongyi Zhang, Joshua Tenenbaum and William Freeman
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Attribute Embedding with Visual-Semantic Ambiguity Removal for Zero-shot Learning
Yang Long, Li Liu and Ling Shao
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NRSfM-Flow: Recovering Non-Rigid Scene Flow from Monocular Image Sequences
Vladislav Golyanik, Aman Shankar Mathur and Didier Stricker
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Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading
Qi Liu-Yin, Rui Yu, Lourdes Agapito, Andrew Fitzgibbon and Chris Russell
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STAR-Net: A SpaTial Attention Residue Network for Scene Text Recognition
Wei Liu, Chaofeng Chen, Kwan-Yee K. Wong, Zhizhong Su and Junyu Han
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Context Matters: Refining Object Detection in Video with Recurrent Neural Networks
Subarna Tripathi, Zachary Lipton, Serge Belongie and Truong Nguyen
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Outlier Rejection for Absolute Pose Estimation with Known Orientation
Viktor Larsson, Johan Fredriksson, Carl Toft and Fredrik Kahl
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Learning from scratch a confidence measure
Matteo Poggi and Stefano Mattoccia
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Localizing Periodicity in Time Series and Videos
Giorgos Karvounas, Iason Oikonomidis and Antonis Argyros
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Person Re-identification in Appearance Impaired Scenarios
Mengran Gou, Xikang Zhang, Angels Rates-Borras, Sadjad Asghari-Esfeden, Octavia Camps and Mario Sznaier
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Learning to Detect and Match Keypoints with Deep Architectures
Hani Altwaijry, Andreas Veit and Serge Belongie
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Supervised Incremental Hashing
Bahadir Ozdemir, Mahyar Najibi and Larry Davis
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Multi-Scale Fully Convolutional Network for Fast Face Detection
Yancheng Bai, Wenjing Ma, Yucheng Li, Liangliang Cao, Wen Guo and Luwei Yang
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Attention Networks for Weakly Supervised Object Localization
Eu Wern Teh, Mrigank Rochan and Yang Wang
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Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset
Andrew Shin, Yoshitaka Ushiku and Tatsuya Harada
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Learning of Separable Filters by Stacked Fisher Convolutional Autoencoders
Arash Shahriari
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Deskewing by space-variant deblurring
Karthik Seemakurthy, Subeesh Vasu and Rajagopalan Ambasamudram
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Faces in Places: compound query retrieval
Yujie Zhong, Relja Arandjelovic and Andrew Zisserman
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Semi-supervised Video Object Segmentation Using Multiple Random Walkers
Won-Dong Jang and Chang-Su Kim
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Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos
Suman Saha, Gurkirt Singh, Michael Sapienza, Philip Torr and Fabio Cuzzolin
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Exploiting Random RGB and Sparse Features for Camera Pose Estimation
Lili Meng, Jianhui Chen, Frederick Tung, James Little and Clarence Silva
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Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches
Erik Rodner, Marcel Simon, Robert Fisher and Joachim Denzler
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Near-Field Photometric Stereo in Ambient Light
Fotios Logothetis, Roberto Mecca, Yvain Queau and Roberto Cipolla
3D Computer Vision
Motion and Tracking
Keynote 2
Statistical Methods and Learning
Recognition and Physics-based vision
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Regional Gating Neural Networks for Multi-label Image Classification
Rui-Wei Zhao, Jianguo Li, Yurong Chen, Jia-Ming Liu, Yu-Gang Jiang and Xiangyang Xue
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Multispectral Deep Neural Networks for Pedestrian Detection
Jingjing Liu, Shaoting Zhang, Shu Wang and Dimitris Metaxas
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L1 Graph Based Sparse Model for Label De-noising
Xiaobin Chang, Tao Xiang and Timothy Hospedales
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PatchIt: Self-Supervised Network Weight Initialization for Fine-grained Recognition
Patrick Sudowe and Bastian Leibe
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Combining Shape from Shading and Stereo: A Variational Approach for the Joint Estimation of Depth, Illumination and Albedo
Daniel Maurer, Yong Chul Ju, Michael Breuß and Andres Bruhn
Posters 2
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Solving VIsual Madlibs with Multiple Cues
Tatiana Tommasi, Arun Mallya, Bryan Plummer, Svetlana Lazebnik, Alexander Berg and Tamara Berg
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LSTM for Image Annotation with Relative Visual Importance
Geng Yan, Yang Wang and Zicheng Liao
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OnionNet: Sharing Features in Cascaded Deep Classi_ers
Martin Simonovsky and Nikos Komodakis
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Line reconstruction using prior knowledge in single non-central view
Jesus Bermudez-Cameo, Cédric Demonceaux, Gonzalo Lopez-Nicolas and Jose Guerrero
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Attribute Recognition from Adaptive Parts
Luwei Yang, Ligeng Zhu, Yichen Wei, Shuang Liang and Ping Tan
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Memory-based Gait Recognition
Dan Liu, Mao Ye, Xudong Li, Feng Zhang and Lan Lin
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Three-Point Direct Stereo Visual Odometry
Jeong-Kyun Lee and Kuk-Jin Yoon
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Semantic Segmentation for Real-World Data by Jointly Exploiting Supervised and Transferrable Knowledge
Li-Hsien Lu and Chiou-Ting Hsu
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Optimized Regressor Forest for Image Super-Resolution
Chia-Yang Chang, Wei-Chih Tu and Shao-Yi Chien
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Convolutional aggregation of local evidence for large pose face alignment
Adrian Bulat and Yorgos Tzimiropoulos
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Wide Residual Networks
Sergey Zagoruyko and Nikos Komodakis
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Deep Part-Based Generative Shape Model with Latent Variables
Alexander Kirillov, Mikhail Gavrikov, Ekaterina Lobacheva, Anton Osokin and Dmitry Vetrov
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General Human Traits Oriented Generic Elastic Model for 3D Face Reconstruction
Joi San Tan, Ibrahim Venkat, Iman Yi Liao and Philippe De Wilde
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Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization
Spyridon Gidaris and Nikos Komodakis
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Crafting a multi-task CNN for viewpoint estimation
Francisco Massa, Renaud Marlet and Mathieu Aubry
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Improving Weakly-Supervised Object Localization By Micro-Annotation
Alexander Kolesnikov and Christoph Lampert
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MBest Struct: M-Best diverse sampling for structured tracker
Ivan Bogun and Eraldo Ribeiro
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Event-Based Hough Transform in a Spiking Neural Network for Multiple Line Detection and Tracking Using a Dynamic Vision Sensor
Sajjad Seifozzakerini, Wei-Yun Yau, Bo Zhao and Kezhi Mao
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Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection
Kanggeon Kim, Tadas Baltrušaitis, Amirali Zadeh, Louis-Philippe Morency and Gérard Medioni
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Bag of Surrogate Parts: one inherent feature of deep CNNs
Yanming Guo and Michael S. Lew
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Multi-scale Colorectal Tumour Segmentation Using a Novel Coarse to Fine Strategy
Kun Zhang, Danny Crookes, Jim Diamond, Minrui Fei, Jianguo Wu, Peijian Zhang and Huiyu Zhou
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Learning Additive Kernel For Feature Transformation and Its Application to CNN Features
Takumi Kobayashi
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Robust 3D Car Shape Estimation from Landmarks in Monocular Image
Yanan Miao, Xiaoming Tao and Jianhua Lu
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Projective Unsupervised Flexible Embedding with Optimal Graph
Wei Wang, Yan Yan, Feiping Nie, Xavier Pineda, Shuicheng Yan and Nicu Sebe
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Towards Automatic Image Editing: Learning to See another You
Xu Jia, Amir Ghodrati, Marco Pedersoli and Tinne Tuytelaars
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Dense Labeling with User Interaction: an Example for Depth-Of-Field Simulation
Ana Cambra, Adolfo Muñoz, Jose Guerrero and Ana Murillo
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MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval
Romain Negrel, Alexis Lechervy and Frederic Jurie
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Learning Neural Network Architectures using Backpropagation
Suraj Srinivas and Venkatesh Babu
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Enhancing pose estimation through efficient patch synthesis
Pierre Rolin, Marie-Odile Berger and Frederic Sur
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Discovering motion hierarchies via tree-structured coding of trajectories
Juan-Manuel Perez-Rua, Tomas Crivelli, Patrick Perez and Patrick Bouthemy
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Coplanar Repeats by Energy Minimization
James Pritts, Denys Rozumnyi, M. Pawan Kumar and Ondrej Chum
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Two-Stream SR-CNNs for Action Recognition in Videos
Yifan Wang, Jie Song, Limin Wang, Luc Van Gool and Otmar Hilliges
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An Efficient Convolutional Network for Human Pose Estimation
Umer Rafi, Bastian Leibe, Juergen Gall and Ilya Kostrikov
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A data augmentation methodology for training machine/deep learning gait recognition algorithms
Christoforos Charalambous and Anil Bharath
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Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task
Mateusz Malinowski, Ashkan Mokarian and Mario Fritz
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Practical View on Face Presentation Attack Detection
Naser Damer and Kristiyan Dimitrov
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Fast Feature-Less Quaternion-based Particle Swarm Optimization for Object Pose Estimation From RGB-D Images
Stefano Rosa and Giorgio Toscana
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Graph Convolutional Neural Network
Michael Edwards and Xianghua Xie
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I Have Seen Enough: Transferring Parts Across Categories
David Novotny, Diane Larlus and Andrea Vedaldi
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Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets
Manuel Amthor, Erik Rodner and Joachim Denzler
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Maximum Margin Linear Classifiers in Unions of Subspaces
Xinrui Lyu, Joaquin Zepeda and Patrick Perez
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Aerial image geolocalization from recognition and matching of roads and intersections
Dragos Costea and Marius Leordeanu
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Learning local feature descriptors with triplets and shallow convolutional neural networks
Vassileios Balntas, Edgar Riba, Daniel Ponsa and Krystian Mikolajczyk
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Online Feature Selection for Visual Tracking
Giorgio Roffo and Simone Melzi
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Deep Aggregation of Local 3D Geometric Features for 3D Model Retrieval
Takahiko Furuya and Ryutarou Ohbuchi
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Learning Grimaces by Watching TV
Samuel Albanie and Andrea Vedaldi
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Accurate and robust face recognition from RGB-D images with a deep learning approach
Yuancheng Lee, Jiancong Chen, Ching Wei Tseng and Shang-Hong Lai
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Global Deconvolutional Networks for Semantic Segmentation
Vladimir Nekrasov, Janghoon Ju and Jaesik Choi
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Convolutional Sparse Coding-based Image Decomposition
He Zhang and Vishal Patel
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Domain Adaptive Subspace Clustering
Mahdi Abavisani and Vishal Patel
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Filtering 3D Keypoints Using GIST For Accurate Image-Based Localization
Charbel Azzi, Daniel Asmar, Adel Fakih and John Zelek
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Probabilistic Obstacle Partitioning of Monocular Video for Autonomous Vehicles
Ryan Wolcott and Ryan Eustice
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Track Facial Points in Unconstrained Videos
Xi Peng, Qiong Hu, Junzhou Huang and Dimitris Metaxas
Recognition
Face and Gesture
Recognition, Optimisation and Performance Evaluation
Video events, robot vision and deep learning