Timezone: »
Demonstration
Building a 3-D Model From a Single Still Image
Ashutosh Saxena · min sun · Andrew Y Ng
Author Information
Ashutosh Saxena (Cornell University)
min sun (Princeton Univ)
Andrew Y Ng (DeepLearning.AI)
More from the Same Authors
-
2015 Symposium: Deep Learning Symposium »
Yoshua Bengio · Marc'Aurelio Ranzato · Honglak Lee · Max Welling · Andrew Y Ng -
2014 Workshop: Deep Learning and Representation Learning »
Andrew Y Ng · Yoshua Bengio · Adam Coates · Roland Memisevic · Sharanyan Chetlur · Geoffrey E Hinton · Shamim Nemati · Bryan Catanzaro · Surya Ganguli · Herbert Jaeger · Phil Blunsom · Leon Bottou · Volodymyr Mnih · Chen-Yu Lee · Rich M Schwartz -
2013 Poster: Learning Trajectory Preferences for Manipulators via Iterative Improvement »
Ashesh Jain · Brian Wojcik · Thorsten Joachims · Ashutosh Saxena -
2013 Demonstration: Easy Text Classification with Machine Learning »
Richard Socher · Romain Paulus · Bryan McCann · Andrew Y Ng -
2013 Poster: Reasoning With Neural Tensor Networks for Knowledge Base Completion »
Richard Socher · Danqi Chen · Christopher D Manning · Andrew Y Ng -
2013 Poster: Zero-Shot Learning Through Cross-Modal Transfer »
Richard Socher · Milind Ganjoo · Christopher D Manning · Andrew Y Ng -
2012 Poster: Recursive Deep Learning on 3D Point Clouds »
Richard Socher · Bharath Bath · Brody Huval · Christopher D Manning · Andrew Y Ng -
2012 Poster: Deep Learning of invariant features via tracked video sequences »
Will Y Zou · Andrew Y Ng · Shenghuo Zhu · Kai Yu -
2012 Poster: Large Scale Distributed Deep Networks »
Jeff Dean · Greg Corrado · Rajat Monga · Kai Chen · Matthieu Devin · Quoc V Le · Mark Mao · Marc'Aurelio Ranzato · Andrew Senior · Paul Tucker · Ke Yang · Andrew Y Ng -
2012 Poster: Emergence of Object-Selective Features in Unsupervised Feature Learning »
Adam Coates · Andrej Karpathy · Andrew Y Ng -
2011 Workshop: Challenges in Learning Hierarchical Models: Transfer Learning and Optimization »
Quoc V. Le · Marc'Aurelio Ranzato · Russ Salakhutdinov · Josh Tenenbaum · Andrew Y Ng -
2011 Workshop: Deep Learning and Unsupervised Feature Learning »
Yoshua Bengio · Adam Coates · Yann LeCun · Nicolas Le Roux · Andrew Y Ng -
2011 Poster: $\theta$-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding »
Congcong Li · Ashutosh Saxena · Tsuhan Chen -
2011 Poster: ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning »
Quoc V. Le · Alexandre Karpenko · Jiquan Ngiam · Andrew Y Ng -
2011 Poster: Unfolding Recursive Autoencoders for Paraphrase Detection »
Richard Socher · Eric H Huang · Jeffrey Pennin · Andrew Y Ng · Christopher D Manning -
2011 Poster: Sparse Filtering »
Jiquan Ngiam · Pang Wei Koh · Zhenghao Chen · Sonia A Bhaskar · Andrew Y Ng -
2011 Spotlight: Sparse Filtering »
Jiquan Ngiam · Pang Wei Koh · Zhenghao Chen · Sonia A Bhaskar · Andrew Y Ng -
2011 Poster: Semantic Labeling of 3D Point Clouds for Indoor Scenes »
Hema Koppula · Abhishek Anand · Thorsten Joachims · Ashutosh Saxena -
2011 Demonstration: Haptic Belt with Pedestrian Detection »
Jean Feng · Marc Rasi · Andrew Y Ng · Quoc V. Le · Morgan Quigley · Justin K Chen · Tiffany Low · Will Y Zou -
2011 Poster: Selecting Receptive Fields in Deep Networks »
Adam Coates · Andrew Y Ng -
2011 Poster: Unsupervised learning models of primary cortical receptive fields and receptive field plasticity »
Andrew M Saxe · Maneesh Bhand · Ritvik Mudur · Bipin Suresh · Andrew Y Ng -
2010 Workshop: Deep Learning and Unsupervised Feature Learning »
Honglak Lee · Marc'Aurelio Ranzato · Yoshua Bengio · Geoffrey E Hinton · Yann LeCun · Andrew Y Ng -
2010 Poster: Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models »
Congcong Li · Adarsh P Kowdle · Ashutosh Saxena · Tsuhan Chen -
2010 Poster: Tiled convolutional neural networks »
Quoc V. Le · Jiquan Ngiam · Zhenghao Chen · Daniel Jin hao Chia · Pang Wei Koh · Andrew Y Ng -
2010 Poster: Energy Disaggregation via Discriminative Sparse Coding »
J. Zico Kolter · Siddarth Batra · Andrew Y Ng -
2009 Mini Symposium: Machine Learning for Sustainability »
J. Zico Kolter · Thomas Dietterich · Andrew Y Ng -
2009 Poster: Measuring Invariances in Deep Networks »
Ian Goodfellow · Quoc V. Le · Andrew M Saxe · Andrew Y Ng -
2009 Poster: Unsupervised feature learning for audio classification using convolutional deep belief networks »
Honglak Lee · Peter Pham · Yan Largman · Andrew Y Ng -
2008 Oral: Cascaded Classification Models: Combining Models for Holistic Scene Understanding »
Geremy Heitz · Stephen Gould · Ashutosh Saxena · Daphne Koller -
2008 Poster: Cascaded Classification Models: Combining Models for Holistic Scene Understanding »
Geremy Heitz · Stephen Gould · Ashutosh Saxena · Daphne Koller -
2008 Demonstration: High-Accuracy 3D Sensing for Mobile Manipulators »
Stephen Gould · Morgan Quigley · Siddarth Batra · Ellen Klingbiel · Quoc V Le · Andrew Y Ng -
2007 Poster: Sparse deep belief net model for visual area V2 »
Honglak Lee · Ekanadham Chaitanya · Andrew Y Ng -
2007 Demonstration: Holistic Scene Understanding from Visual and Range Data »
Stephen Gould · Morgan Quigley · Andrew Y Ng · Daphne Koller -
2007 Spotlight: Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion »
J. Zico Kolter · Pieter Abbeel · Andrew Y Ng -
2007 Poster: Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion »
J. Zico Kolter · Pieter Abbeel · Andrew Y Ng -
2007 Poster: Efficient multiple hyperparameter learning for log-linear models »
Chuong B Do · Chuan-Sheng Foo · Andrew Y Ng -
2006 Demonstration: Peripheral-Foveal Vision for Real-time Object Recognition »
Benjamin Sapp · Stephen Gould · Adrian Kaehler · Gary R Bradski · Andrew Y Ng -
2006 Poster: Robotic Grasping of Novel Objects »
Ashutosh Saxena · Justin Driemeyer · Justin Kearns · Andrew Y Ng -
2006 Poster: Map-Reduce for Machine Learning on Multicore »
Cheng-Tao Chu · Sang Kyun Kim · Yi-An Lin · YuanYuan Yu · Gary R Bradski · Andrew Y Ng · Kunle Olukotun -
2006 Poster: An Application of Reinforcement Learning to Aerobatic Helicopter Flight »
Pieter Abbeel · Adam P Coates · Andrew Y Ng · Morgan Quigley -
2006 Talk: Map-Reduce for Machine Learning on Multicore »
Cheng-Tao Chu · Sang Kyun Kim · Yi-An Lin · YuanYuan Yu · Gary R Bradski · Andrew Y Ng · Kunle Olukotun -
2006 Spotlight: Robotic Grasping of Novel Objects »
Ashutosh Saxena · Justin Driemeyer · Justin Kearns · Andrew Y Ng -
2006 Talk: An Application of Reinforcement Learning to Aerobatic Helicopter Flight »
Pieter Abbeel · Adam P Coates · Andrew Y Ng · Morgan Quigley -
2006 Poster: Efficient sparse coding algorithms, end-stopping and nCRF surround suppression »
Honglak Lee · Alexis Battle · Raina Rajat · Andrew Y Ng