NIPS 2019-2008.md

NIPS 2019

1. Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video, Jiawang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian Reid

2. Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks, Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian Reid, Hamid Rezatofighi, Silvio Savarese

3. Multi-marginal Wasserstein GAN, Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan

4. Cross-sectional Learning of Extremal Dependence among Financial Assets, Xing Yan, Qi Wu, Wen Zhang

NIPS 2018

1. Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning, Xing Yan, Weizhong Zhang, Lin Ma, Wei Liu, Qi Wu

NIPS 2017

1. Deep Subspace Clustering Networks, Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian Reid

2. A Bayesian Data Augmentation Approach for Learning Deep Models, Toan Tran, Trung Pham, Gustavo Carneiro, Lyle Palmer, Ian Reid

NIPS 2016

1. Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections, Xiaojiao Mao, Chunhua Shen, Yu-Bin Yang

NIPS 2015

1. Deeply Learning the Messages in Message Passing Inference, Guosheng Lin, Chunhua Shen, Ian Reid, Anton van den Hengel

NIPS 2014

1. Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors, Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang

NIPS 2013

NIPS 2012

NIPS 2011

1. Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC, Trung T. Pham, Tat-jun Chin, Jin Yu, David Suter

NIPS 2010

NIPS 2009

1. The Ordered Residual Kernel for Robust Motion Subspace Clustering, Tat-jun Chin, Hanzi Wang, David Suter

2. Positive Semidefinite Metric Learning with Boosting, Chunhua Shen, Junae Kim, Lei Wang, Anton Hengel

NIPS 2008

1. PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning, Chunhua Shen, Alan Welsh, Lei Wang