Timezone: »
- [ 65246 ] GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions
- [ 65247 ] PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories
- [ 65248 ] AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
- [ 65249 ] Efficient and Effective Augmentation Strategy for Adversarial Training
- [ 65250 ] 4D Unsupervised Object Discovery
- [ 65251 ] SNAKE: Shape-aware Neural 3D Keypoint Field
- [ 65252 ] Few-Shot Non-Parametric Learning with Deep Latent Variable Model
- [ 65253 ] Neural Shape Deformation Priors
- [ 65254 ] Few-Shot Continual Active Learning by a Robot
- [ 65255 ] Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
- [ 65256 ] Segmenting Moving Objects via an Object-Centric Layered Representation
Q&A on RocketChat immediately following Lightning Talks
Author Information
Junyu Xie (University of Oxford)
Chengliang Zhong (Tsinghua University)
Ali Ayub (University of Waterloo)
Sravanti Addepalli (Indian Institute of Science)
Harsh Rangwani (Indian Institute of Science)
Jiapeng Tang (Technische Universität München)

Jiapeng Tang is a Ph.D. student at the Visual Computing Lab advised by Prof. Matthias Nießner. My research focuses on understanding and reconstructing dynamic 3D environments. Previously, I received his Bachelor and Master degrees in Electronic Engineering at South China University of Technology.
Yuchen Rao (Technische Universität München)
Zhiying Jiang (University of Waterloo)
Yuqi Wang (Institute of automation, Chinese academy of science, Chinese Academy of Sciences)
Xingzhe He (University of British Columbia)
Gene Chou (Princeton University)
Ilya Chugunov (Princeton University)
Samyak Jain (Indian Institute of Technology (BHU), Varanasi)
Yuntao Chen (Centre for Artificial Intelligence and Robotics, HKISI, CAS)
Weidi Xie (University of Oxford)
Sumukh K Aithal (-)
Domains of interest : Generalization in Deep Learning , Domain Adaptation, Shape/Texture Bias of CNN, Explainable AI. Undergraduate student passionate about research in deep learning. Always eager to learn more.
Carter Fendley
Lev Markhasin (Sony Europe RDC Stuttgart)
Yiqin Dai
Peixing You (Tsinghua University, Tsinghua University)
Bastian Wandt (Linköping University)
Yinyu Nie (Bournemouth University)
I am currently a post-doctoral researcher at TUM Visual Computing Group with Prof. Matthias Niessner. Before this, I received my Ph.D. at National Centre for Computer Animation, Bournmouth University supervised by Prof. Jian Chang and Prof. Jian J Zhang. My Ph.D. research lies in 3D deep learning and vision, and focuses at 3D scene understanding, shape analysis and reconstruction. During my Ph.D., I have visited the Chinese University of Hong Kong (Shenzhen) and Shenzhen Research Institute of Big Data as a visiting researcher advised by Prof. Xiaoguang Han.
Helge Rhodin (UBC)
Felix Heide (Department of Computer Science, Princeton University)
Ji Xin (University of Waterloo)
Angela Dai (Technical University of Munich)
Andrew Zisserman (DeepMind & University of Oxford)
Bi Wang (Technische Universität München)
Xiaoxue Chen (Tsinghua University, Tsinghua University)
Mayank Mishra (Indian Institute of Science)
ZHAO-XIANG ZHANG (Chinese Academy of Sciences, China)
Venkatesh Babu R (Indian Institute of Science)
Justus Thies (Max-Planck Institute for Intelligent Systems)
Ming Li (University of Waterloo)
Hao Zhao (Tsinghua University, Tsinghua University)
Venkatesh Babu R (Indian Institute of Science)
Jimmy Lin (University of Waterloo)
Fuchun Sun (Tsinghua University)
Matthias Niessner (Technical University of Munich)
Guyue Zhou (Tsinghua University)
Xiaodong Mu (Xi'an University of Electronic Science and Technology)
Chuang Gan (UMass Amherst/ MIT-IBM Watson AI Lab)
Wenbing Huang (Tsinghua University)
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Xin Wang · Wenbing Huang · Chuang Gan · Jingdong Wang · Wenwu Zhu · Junzhou Huang -
2018 Poster: Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding »
Kexin Yi · Jiajun Wu · Chuang Gan · Antonio Torralba · Pushmeet Kohli · Josh Tenenbaum -
2018 Spotlight: Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding »
Kexin Yi · Jiajun Wu · Chuang Gan · Antonio Torralba · Pushmeet Kohli · Josh Tenenbaum -
2018 Poster: Adaptive Sampling Towards Fast Graph Representation Learning »
Wenbing Huang · Tong Zhang · Yu Rong · Junzhou Huang -
2017 Poster: Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding »
Wenbing Huang · Mehrtash Harandi · Tong Zhang · Lijie Fan · Fuchun Sun · Junzhou Huang -
2015 Poster: Spatial Transformer Networks »
Max Jaderberg · Karen Simonyan · Andrew Zisserman · koray kavukcuoglu -
2015 Spotlight: Spatial Transformer Networks »
Max Jaderberg · Karen Simonyan · Andrew Zisserman · koray kavukcuoglu -
2014 Poster: Two-Stream Convolutional Networks for Action Recognition in Videos »
Karen Simonyan · Andrew Zisserman -
2014 Spotlight: Two-Stream Convolutional Networks for Action Recognition in Videos »
Karen Simonyan · Andrew Zisserman -
2013 Poster: Deep Fisher Networks for Large-Scale Image Classification »
Karen Simonyan · Andrea Vedaldi · Andrew Zisserman -
2013 Spotlight: Deep Fisher Networks for Large-Scale Image Classification »
Karen Simonyan · Andrea Vedaldi · Andrew Zisserman -
2011 Poster: Pylon Model for Semantic Segmentation »
Victor Lempitsky · Andrea Vedaldi · Andrew Zisserman -
2010 Poster: Simultaneous Object Detection and Ranking with Weak Supervision »
Matthew B Blaschko · Andrea Vedaldi · Andrew Zisserman -
2010 Spotlight: Learning To Count Objects in Images »
Victor Lempitsky · Andrew Zisserman -
2010 Poster: Learning To Count Objects in Images »
Victor Lempitsky · Andrew Zisserman -
2009 Poster: Segmenting Scenes by Matching Image Composites »
Bryan C Russell · Alexei A Efros · Josef Sivic · Bill Freeman · Andrew Zisserman -
2009 Poster: Structured output regression for detection with partial truncation »
Andrea Vedaldi · Andrew Zisserman -
2008 Poster: SDL: Supervised Dictionary Learning »
Julien Mairal · Francis Bach · Jean A Ponce · Guillermo Sapiro · Andrew Zisserman -
2007 Spotlight: Learning Visual Attributes »
Vittorio Ferrari · Andrew Zisserman -
2007 Poster: Learning Visual Attributes »
Vittorio Ferrari · Andrew Zisserman -
2006 Poster: Bayesian Image Super-resolution, Continued »
Lyndsey C Pickup · David Capel · Stephen J Roberts · Andrew Zisserman -
2006 Spotlight: Bayesian Image Super-resolution, Continued »
Lyndsey C Pickup · David Capel · Stephen J Roberts · Andrew Zisserman