Pim De Haan, Dinesh Jayaraman, Sergey Levine (2019). Causal Confusion in Imitation Learning. NeurIPS (Oral).
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Dinesh Jayaraman, Frederik Ebert, Alexei a Efros, Sergey Levine (2019). Time-Agnostic Prediction: Predicting Predictable Video Frames. In ICLR.
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Brian Yang, Jesse Zhang, Dinesh Jayaraman, Sergey Levine (2019). REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning. In ICRA.
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Brian Yang, Jesse Zhang, Vitchyr Pong, Sergey Levine, Dinesh Jayaraman (2019). REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning. arXiv preprint (extended version of earlier ICRA publication).
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Stephen Tian*, Frederik Ebert*, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine (2019). Manipulation by Feel: Touch-Based Control with Deep Predictive Models. In ICRA.
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Santhosh K Ramakrishnan*, Dinesh Jayaraman*, Kristen Grauman (2019). Emergence of Exploratory Look-Around Behaviors Through Active Observation Completion. In Science Robotics.
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Tao Ma, Wei Sun, Oscar Nestares, Kalpana Seshadrinathan, Dinesh Jayaraman (2018). Techniques for Rectification of Camera Arrays.
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Dinesh Jayaraman, Ruohan Gao, Kristen Grauman (2018). ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids. In ECCV.
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Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H Adelson, Sergey Levine (2018). More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch. In IROS and RAL (RAL Best Paper Runner-Up).
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Dinesh Jayaraman, Kristen Grauman (2018). Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks. In CVPR.
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Dinesh Jayaraman, Kristen Grauman (2018). End-to-End Policy Learning For Active Visual Categorization. In IEEE TPAMI.
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Oscar Nestares, Kalpana Seshadrinathan, Dinesh Jayaraman (2017). Techniques for Improved Focusing of Camera Arrays.
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Dinesh Jayaraman, Kristen Grauman (2017). Learning Image Representations Tied to Egomotion from Unlabeled Video. In IJCV Special Issue of Best Papers from ICCV 2015.
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Dinesh Jayaraman (2017). Embodied Learning for Visual Recognition. The University of Texas at Austin.
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Dinesh Jayaraman*, Chao-Yeh Chen*, Fei Sha, Kristen Grauman (2017). Divide, Share, and Conquer: Multi-Task Attribute Learning With Selective Sharing. In Springer Book on Visual Attributes.
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Dinesh Jayaraman, Kristen Grauman (2016). Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video. In CVPR (Oral Spotlight).
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Yu-Chuan Su, Dinesh Jayaraman, Kristen Grauman (2016). Pano2Vid: Automatic Cinematography For Watching 360-degree Videos. In ACCV (Songde Ma Best Application Paper Award).
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Ruohan Gao, Dinesh Jayaraman, Kristen Grauman (2016). Object-Centric Representation Learning from Unlabeled Videos. In ACCV.
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Dinesh Jayaraman, Kristen Grauman (2016). Look-Ahead Before You Leap: End-to-End Active Recognition By Forecasting the Effect of Motion. In ECCV (Oral).
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Dinesh Jayaraman, Kristen Grauman (2015). Learning Image Representations Tied to Egomotion. In ICCV (Oral).
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Dinesh Jayaraman, Kristen Grauman (2014). Zero-Shot Recognition With Unreliable Attributes. In NIPS.
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Dinesh Jayaraman, Fei Sha, Kristen Grauman (2014). Decorrelating Semantic Visual Attributes by Resisting the Urge to Share. In CVPR (Oral).
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Dinesh Jayaraman, Anish Mittal, Anush K Moorthy, Alan C Bovik (2012). Objective Quality Assessment of Multiply Distorted Images. In ASILOMAR Conference on Signals, Systems and Computers.
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