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58 Results
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Poster
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Wed 18:30 |
Controllable Invariance through Adversarial Feature Learning Qizhe Xie · Zihang Dai · Yulun Du · Eduard Hovy · Graham Neubig |
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Poster
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Mon 18:30 |
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space Charles Ruizhongtai Qi · Li Yi · Hao Su · Leonidas Guibas |
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Poster
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Tue 18:30 |
Eigen-Distortions of Hierarchical Representations Alexander Berardino · Valero Laparra · Johannes Ballé · Eero Simoncelli |
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Poster
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Mon 18:30 |
Saliency-based Sequential Image Attention with Multiset Prediction Sean Welleck · Jialin Mao · Kyunghyun Cho · Zheng Zhang |
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Poster
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Tue 18:30 |
Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks Prateep Bhattacharjee · Sukhendu Das |
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Poster
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Tue 18:30 |
MaskRNN: Instance Level Video Object Segmentation Yuan-Ting Hu · Jia-Bin Huang · Alex Schwing |
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Poster
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Mon 18:30 |
Toward Multimodal Image-to-Image Translation Jun-Yan Zhu · Richard Zhang · Deepak Pathak · Trevor Darrell · Alexei Efros · Oliver Wang · Eli Shechtman |
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Poster
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Tue 18:30 |
MarrNet: 3D Shape Reconstruction via 2.5D Sketches Jiajun Wu · Yifan Wang · Tianfan Xue · Xingyuan Sun · Bill Freeman · Josh Tenenbaum |
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Poster
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Tue 18:30 |
An inner-loop free solution to inverse problems using deep neural networks Kai Fan · Qi Wei · Lawrence Carin · Katherine Heller |
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Poster
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Mon 18:30 |
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction Dan Xu · Wanli Ouyang · Xavier Alameda-Pineda · Elisa Ricci · Xiaogang Wang · Nicu Sebe |
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Poster
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Mon 18:30 |
Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks Wei-Sheng Lai · Jia-Bin Huang · Ming-Hsuan Yang |
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Poster
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Tue 18:30 |
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples Haw-Shiuan Chang · Erik Learned-Miller · Andrew McCallum |