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Planning for Proactive Assistance in Environments with Partial Observability


May 02, 2021
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati


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Beyond Image to Depth: Improving Depth Prediction using Echoes


Apr 03, 2021
Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma

* To appear in CVPR 2021 

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Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks


Mar 28, 2021
Siddharth Srivastava, Gaurav Sharma

* ICRA 2021 

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Learning Sampling Distributions for Efficient High-Dimensional Motion Planning


Dec 01, 2020
Naman Shah, Abhyudaya Srinet, Siddharth Srivastava


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Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning


Jul 10, 2020
Rushang Karia, Siddharth Srivastava

* Submitted to NIPS 2020, 11 pages, 3 figures 

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Learning Generalized Models by Interrogating Black-Box Autonomous Agents


Feb 06, 2020
Pulkit Verma, Siddharth Srivastava


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Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators


Feb 04, 2020
Sarath Sreedharan, Utkash Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati


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Balancing Goal Obfuscation and Goal Legibility in Settings with Cooperative and Adversarial Observers


May 25, 2019
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati


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Anytime Integrated Task and Motion Policies for Stochastic Environments


Apr 30, 2019
Naman Shah, Siddharth Srivastava


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Few Shot Speaker Recognition using Deep Neural Networks


Apr 17, 2019
Prashant Anand, Ajeet Kumar Singh, Siddharth Srivastava, Brejesh Lall


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An Online Learning Approach for Dengue Fever Classification


Apr 17, 2019
Siddharth Srivastava, Sumit Soman, Astha Rai


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Learning Critical Regions for Robot Planning using Convolutional Neural Networks


Apr 15, 2019
Daniel Molina, Kislay Kumar, Siddharth Srivastava


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DeepPoint3D: Learning Discriminative Local Descriptors using Deep Metric Learning on 3D Point Clouds


Mar 27, 2019
Siddharth Srivastava, Brejesh Lall


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Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles


Mar 27, 2019
Siddharth Srivastava, Frederic Jurie, Gaurav Sharma


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Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice


Mar 19, 2019
Sarath Sreedharan, Siddharth Srivastava, David Smith, Subbarao Kambhampati


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A Unified Framework for Planning in Adversarial and Cooperative Environments


Jul 26, 2018
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati

* 8 pages, 2 figures 

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Learning Generalized Reactive Policies using Deep Neural Networks


Jul 25, 2018
Edward Groshev, Maxwell Goldstein, Aviv Tamar, Siddharth Srivastava, Pieter Abbeel


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Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms


Jun 08, 2018
Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon Du, Stuart Russell

* Accepted by ICML 2018 

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Large Scale Novel Object Discovery in 3D


Feb 20, 2018
Siddharth Srivastava, Gaurav Sharma, Brejesh Lall

* Accepted for publication at IEEE Winter Conference on Applications of Computer Vision (WACV 2018) 

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Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations


Feb 19, 2018
Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati


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An Anytime Algorithm for Task and Motion MDPs


Feb 16, 2018
Siddharth Srivastava, Nishant Desai, Richard Freedman, Shlomo Zilberstein

* 7 pages, 4 figures 

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Enhanced Characterness for Text Detection in the Wild


Dec 04, 2017
Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava, Brejesh Lall


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Object Classification using Ensemble of Local and Deep Features


Dec 04, 2017
Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall, Kamlesh Jaiswal

* Accepted for publication at Ninth International Conference on Advances in Pattern Recognition 

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Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55


Oct 27, 2017
Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas


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Drought Stress Classification using 3D Plant Models


Oct 18, 2017
Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Santanu Chaudhury

* Appears in Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP), International Conference on Computer Vision (ICCV) 2017 

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3D Binary Signatures


Aug 26, 2017
Siddharth Srivastava, Brejesh Lall

* Tenth Indian Conference on Computer Vision, Graphics and Image Processing 2016 

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An ROS-based Shared Communication Middleware for Plug & Play Modular Intelligent Design of Smart Systems


Jun 04, 2017
Tathagata Chakraborti, Siddharth Srivastava, Alessandro Pinto, Subbarao Kambhampati


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Benchmarking KAZE and MCM for Multiclass Classification


May 20, 2015
Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall


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