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Computer Vision

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2018

SPLATNet: Sparse Lattice Networks for Point Cloud Processing

Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz

Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation

Jonathan Tremblay, Thang To, Stan Birchfield

Making Convolutional Networks Recurrent for Visual Sequence Learning

Xiaodong Yang, Pavlo Molchanov, Jan Kautz

Deep Semantic Face Deblurring

Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang

PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox

Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations

Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield

ICRA

Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning

Yuval Atzmon, Gal Chechik

Reblur2Deblur: Deblurring Videos via Self-Supervised Learning

Huaijin Chen, Jinwei Gu, Orazio Gallo, Ming-Yu Liu, Ashok Veeraraghavan, Jan Kautz

Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization

Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield

IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification

Sam Leroux, Pavlo Molchanov, Pieter Simoens, Bart Dhoedt, Thomas Breuel, Jan Kautz

On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach

Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield