Papers
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning
Ziad Al-Halah, Makarand Tapaswi, Rainer Stiefelhagen
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
Aayush Bansal, Bryan Russell, Abhinav Gupta
Fast Training of Triplet-Based Deep Binary Embedding Networks
Bohan Zhuang, Guosheng Lin, Chunhua Shen et al.
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity
Haichuan Yang, Yijun Huang, Lam Tran et al.
Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach
Behrooz Nasihatkon, Frida Fejne, Fredrik Kahl
Moral Lineage Tracing
Florian Jug, Evgeny Levinkov, Corinna Blasse et al.
TenSR: Multi-Dimensional Tensor Sparse Representation
Na Qi, Yunhui Shi, Xiaoyan Sun et al.
Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity
Sohil Shah, Tom Goldstein, Christoph Studer
Solving Temporal Puzzles
Caglayan Dicle, Burak Yilmaz, Octavia Camps et al.
Minimizing the Maximal Rank
Erik Bylow, Carl Olsson, Fredrik Kahl et al.
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization
Mingkui Tan, Shijie Xiao, Junbin Gao et al.
Memory Efficient Max Flow for Multi-Label Submodular MRFs
Thalaiyasingam Ajanthan, Richard Hartley, Mathieu Salzmann
Guaranteed Outlier Removal With Mixed Integer Linear Programs
Tat-Jun Chin, Yang Heng Kee, Anders Eriksson et al.
Principled Parallel Mean-Field Inference for Discrete Random Fields
Pierre Baque, Timur Bagautdinov, Francois Fleuret et al.
Sparse Coding for Classification via Discrimination Ensemble
Yuhui Quan, Yong Xu, Yuping Sun et al.
Relaxation-Based Preprocessing Techniques for Markov Random Field Inference
Chen Wang, Ramin Zabih
Trust No One: Low Rank Matrix Factorization Using Hierarchical RANSAC
Magnus Oskarsson, Kenneth Batstone, Kalle Astrom
Context-Aware Gaussian Fields for Non-Rigid Point Set Registration
Gang Wang, Zhicheng Wang, Yufei Chen et al.
Gravitational Approach for Point Set Registration
Vladislav Golyanik, Sk Aziz Ali, Didier Stricker
Estimating Correspondences of Deformable Objects "In-The-Wild"
Yuxiang Zhou, Epameinondas Antonakos, Joan Alabort-i-Medina et al.
Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation
Srinivas S. S. Kruthiventi, Vennela Gudisa, Jaley H. Dholakiya et al.
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines
Chi Nhan Duong, Khoa Luu, Kha Gia Quach et al.
A Paradigm for Building Generalized Models of Human Image Perception Through Data Fusion
Shaojing Fan, Tian-Tsong Ng, Bryan L. Koenig et al.
End-To-End Saliency Mapping via Probability Distribution Prediction
Saumya Jetley, Naila Murray, Eleonora Vig
Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation
Sina Honari, Jason Yosinski, Pascal Vincent et al.