Saxena, Ashutosh

33 publications

NeurIPS 2016 Learning Transferrable Representations for Unsupervised Domain Adaptation Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese

UAI 2016 MDPs with Unawareness in Robotics Nan Rong, Joseph Y. Halpern, Ashutosh Saxena

CVPR 2016 Structural-RNN: Deep Learning on Spatio-Temporal Graphs Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena

ICCV 2015 Car That Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models Ashesh Jain, Hema S. Koppula, Bharad Raghavan, Shane Soh, Ashutosh Saxena

ICCV 2015 Unsupervised Semantic Parsing of Video Collections Ozan Sener, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena

CVPR 2015 Watch-N-Patch: Unsupervised Understanding of Actions and Relations Chenxia Wu, Jiemi Zhang, Silvio Savarese, Ashutosh Saxena

ECCV 2014 Physically Grounded Spatio-Temporal Object Affordances Hema Swetha Koppula, Ashutosh Saxena

CVPR 2013 3D-Based Reasoning with Blocks, Support, and Stability Zhaoyin Jia, Andrew Gallagher, Ashutosh Saxena, Tsuhan Chen

ICLR 2013 Deep Learning for Detecting Robotic Grasps Ian Lenz, Honglak Lee, Ashutosh Saxena

IJCAI 2013 Discovering Different Types of Topics: Factored Topic Models Yun Jiang, Ashutosh Saxena

CVPR 2013 Hallucinated Humans as the Hidden Context for Labeling 3D Scenes Yun Jiang, Hema Koppula, Ashutosh Saxena

ICCVW 2013 Infinite Latent Conditional Random Fields Yun Jiang, Ashutosh Saxena

ICML 2013 Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation Hema Koppula, Ashutosh Saxena

NeurIPS 2013 Learning Trajectory Preferences for Manipulators via Iterative Improvement Ashesh Jain, Brian Wojcik, Thorsten Joachims, Ashutosh Saxena

ICML 2012 Learning Object Arrangements in 3D Scenes Using Human Context Yun Jiang, Marcus Lim, Ashutosh Saxena

CVPR 2012 Learning the Right Model: Efficient Max-Margin Learning in Laplacian CRFs Dhruv Batra, Ashutosh Saxena

NeurIPS 2011 $\theta$-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding Congcong Li, Ashutosh Saxena, Tsuhan Chen

IJCAI 2011 Robotic Object Detection: Learning to Improve the Classifiers Using Sparse Graphs for Path Planning Zhaoyin Jia, Ashutosh Saxena, Tsuhan Chen

NeurIPS 2011 Semantic Labeling of 3D Point Clouds for Indoor Scenes Hema S. Koppula, Abhishek Anand, Thorsten Joachims, Ashutosh Saxena

ECCV 2010 A Generic Model to Compose Vision Modules for Holistic Scene Understanding Congcong Li, Adarsh Kowdle, Ashutosh Saxena, Tsuhan Chen

ECCVW 2010 A Generic Model to Compose Vision Modules for Holistic Scene Understanding Congcong Li, Adarsh Kowdle, Ashutosh Saxena, Tsuhan Chen

UAI 2010 MDPs with Unawareness Joseph Y. Halpern, Nan Rong, Ashutosh Saxena

NeurIPS 2010 Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models Congcong Li, Adarsh Kowdle, Ashutosh Saxena, Tsuhan Chen

AAAI 2008 A Fast Data Collection and Augmentation Procedure for Object Recognition Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng

NeurIPS 2008 Cascaded Classification Models: Combining Models for Holistic Scene Understanding Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller

AAAI 2008 Learning Grasp Strategies with Partial Shape Information Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng

AAAI 2008 Make3D: Depth Perception from a Single Still Image Ashutosh Saxena, Min Sun, Andrew Y. Ng

ICCV 2007 3-D Reconstruction from Sparse Views Using Monocular Vision Ashutosh Saxena, Min Sun, Andrew Y. Ng

IJCAI 2007 Depth Estimation Using Monocular and Stereo Cues Ashutosh Saxena, Jamie Schulte, Andrew Y. Ng

ICCV 2007 Learning 3-D Scene Structure from a Single Still Image Ashutosh Saxena, Min Sun, Andrew Y. Ng

NeurIPS 2006 Robotic Grasping of Novel Objects Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Andrew Y. Ng

ICML 2005 High Speed Obstacle Avoidance Using Monocular Vision and Reinforcement Learning Jeff Michels, Ashutosh Saxena, Andrew Y. Ng

NeurIPS 2005 Learning Depth from Single Monocular Images Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng