Papers
GODS: Generalized One-Class Discriminative Subspaces for Anomaly Detection
Jue Wang, Anoop Cherian
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal et al.
Geometric Disentanglement for Generative Latent Shape Models
Tristan Aumentado-Armstrong, Stavros Tsogkas, Allan Jepson et al.
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering
Ruihuang Li, Changqing Zhang, Huazhu Fu et al.
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani, Mike Haley
Deep Comprehensive Correlation Mining for Image Clustering
Jianlong Wu, Keyu Long, Fei Wang et al.
Composite Shape Modeling via Latent Space Factorization
Anastasia Dubrovina, Fei Xia, Panos Achlioptas et al.
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
Guo-Jun Qi, Liheng Zhang, Chang Wen Chen et al.
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
Gil Avraham, Yan Zuo, Thanuja Dharmasiri et al.
Learning Across Tasks and Domains
Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti et al.
Cross-View Policy Learning for Street Navigation
Ang Li, Huiyi Hu, Piotr Mirowski et al.
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification
Lei Qi, Lei Wang, Jing Huo et al.
FDA: Feature Disruptive Attack
Aditya Ganeshan, Vivek B.S., R. Venkatesh Babu
Boosting Few-Shot Visual Learning With Self-Supervision
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis et al.
Semi-Supervised Domain Adaptation via Minimax Entropy
Kuniaki Saito, Donghyun Kim, Stan Sclaroff et al.
Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification
Sanping Zhou, Fei Wang, Zeyi Huang et al.
Bilinear Attention Networks for Person Retrieval
Pengfei Fang, Jieming Zhou, Soumava Kumar Roy et al.
AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation
Mohammad Tavakolian, Hamed R. Tavakoli, Abdenour Hadid
Self-Supervised Representation Learning via Neighborhood-Relational Encoding
Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli
MIC: Mining Interclass Characteristics for Improved Metric Learning
Karsten Roth, Biagio Brattoli, Bjorn Ommer
Attract or Distract: Exploit the Margin of Open Set
Qianyu Feng, Guoliang Kang, Hehe Fan et al.
Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets
Riccardo Volpi, Vittorio Murino
On the Global Optima of Kernelized Adversarial Representation Learning
Bashir Sadeghi, Runyi Yu, Vishnu Boddeti
Sampling Wisely: Deep Image Embedding by Top-K Precision Optimization
Jing Lu, Chaofan Xu, Wei Zhang et al.
Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking
Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu et al.