Harit Pandya

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All published works

Action	Title	Year	Authors
+	LanGWM: Language Grounded World Model	2023	Rudra P. K. Poudel Harit Pandya Chao Zhang Roberto Cipolla
+	ReCoRe: Regularized Contrastive Representation Learning of World Model	2023	Rudra P. K. Poudel Harit Pandya Stephan Liwicki Roberto Cipolla
+ PDF Chat	MVRackLay: Monocular Multi-View Layout Estimation for Warehouse Racks and Shelves	2022	Pranjali Pathre Anurag Sahu A. Giridhar Rao Avinash Prabhu Meher Shashwat Nigam Tanvi Karandikar Harit Pandya K. Madhava Krishna
+	Flow Synthesis Based Visual Servoing Frameworks for Monocular Obstacle Avoidance Amidst High-Rises	2022	Harshit Kumar Sankhla M. Nomaan Qureshi Shankara Narayanan V. Vedansh Mittal Gunjan Gupta Harit Pandya K. Madhava Krishna
+	Contrastive Unsupervised Learning of World Model with Invariant Causal Features	2022	Rudra P. K. Poudel Harit Pandya Roberto Cipolla
+	MVRackLay: Monocular Multi-View Layout Estimation for Warehouse Racks and Shelves	2022	Pranjali Pathre Anurag Sahu Ashwin Rao Avinash Prabhu Meher Shashwat Nigam Tanvi Karandikar Harit Pandya K. Madhava Krishna
+	DeepMPCVS: Deep Model Predictive Control for Visual Servoing	2021	Pushkal Katara Y V S Harish Harit Pandya Abhinav Gupta Aadil Mehdi Sanchawala Gourav Kumar Brojeshwar Bhowmick Madhava Krishna K
+ PDF Chat	DeepMPCVS: Deep Model Predictive Control for Visual Servoing	2021	Pushkal Katara Y V S Harish Harit Pandya Abhinav Gupta Aadil Mehdi Sanchawala Gourav Kumar Brojeshwar Bhowmick Madhava Krishna K
+	DeepMPCVS: Deep Model Predictive Control for Visual Servoing	2021	Pushkal Katara Harish Yvs Harit Pandya Abhinav Gupta Aadil Mehdi Sanchawala Gourav Kumar Brojeshwar Bhowmick K. Madhava Krishna
+	Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning	2020	Vaisakh Shaj Philipp Becker Dieter Büchler Harit Pandya Niels van Duijkeren C. James Taylor Marc Hanheide Gerhard Neumann
+ PDF Chat	DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing	2020	Y V S Harish Harit Pandya Ayush Gaud Shreya Terupally Sai Shankar K. Madhava Krishna
+	DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing	2020	Y V S Harish Harit Pandya Ayush Gaud Shreya Terupally Sai Shankar K. Madhava Krishna
+	DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing	2020	Y V S Harish Harit Pandya Ayush Gaud Shreya Terupally Sai Shankar K. Madhava Krishna
+	Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning	2020	Vaisakh Shaj Philipp Becker Dieter Büchler Harit Pandya Niels van Duijkeren C. James Taylor Marc Hanheide Gerhard Neumann
+	Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces	2019	Philipp Becker Harit Pandya Gregor H. W. Gebhardt Cheng Zhao C. James Taylor Gerhard Neumann
+	Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces	2019	Philipp Becker Harit Pandya Gregor H. W. Gebhardt Cheng Zhao C. James Taylor Gerhard Neumann
+	Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces	2019	Philipp Becker Harit Pandya Gregor H. W. Gebhardt Cheng Zhao J. R. Taylor Gerhard Neumann
+ PDF Chat	Combining Method of Alternating Projections and Augmented Lagrangian for Task Constrained Trajectory Optimization	2018	Arun Kumar Singh Reza Ghabcheloo Andreas Müller Harit Pandya
+	Combining Method of Alternating Projections and Augmented Lagrangian for Task Constrained Trajectory Optimization	2018	Arun Kumar Singh Reza Ghabcheloo Andreas Müller Harit Pandya
+	Combining Method of Alternating Projections and Augmented Lagrangian for Task Constrained Trajectory Optimization	2018	Arun Kumar Singh Reza Ghabcheloo Andréas Müller Harit Pandya
+	Exploring Convolutional Networks for End-to-End Visual Servoing	2017	Aseem Saxena Harit Pandya Gourav Kumar Ayush Gaud K. Madhava Krishna
+ PDF Chat	Exploring convolutional networks for end-to-end visual servoing	2017	Aseem Saxena Harit Pandya Gourav Kumar Ayush Gaud K. Madhava Krishna
+	Exploring Convolutional Networks for End-to-End Visual Servoing	2017	Aseem Saxena Harit Pandya Gourav Kumar Ayush Gaud K. Madhava Krishna

Common Coauthors

Coauthor	Papers Together
Ayush Gaud	6
K. Madhava Krishna	6
Gourav Kumar	4
Brojeshwar Bhowmick	3
Reza Ghabcheloo	3
Rudra P. K. Poudel	3
Pushkal Katara	3
Aadil Mehdi Sanchawala	3
Gerhard Neumann	3
Shreya Terupally	3
C. James Taylor	3
Y V S Harish	3
Gregor H. W. Gebhardt	3
Abhinav Gupta	3
Aseem Saxena	3
Philipp Becker	3
Roberto Cipolla	3
Arun Kumar Singh	2
Philipp Becker	2
Vaisakh Shaj	2
Gerhard Neumann	2
Cheng Zhao	2
Andreas Müller	2
Meher Shashwat Nigam	2
Niels van Duijkeren	2
Marc Hanheide	2
Sai Shankar	2
Dieter Büchler	2
Pranjali Pathre	2
Gourav Kumar	2
K. Madhava Krishna	2
Tanvi Karandikar	2
M. Nomaan Qureshi	1
Y V S Harish	1
Anurag Sahu	1
Shankara Narayanan V.	1
Harshit Kumar Sankhla	1
Avinash Prabhu	1
Vedansh Mittal	1
K. Madhava Krishna	1
Stephan Liwicki	1
C. James Taylor	1
K. Madhava Krishna	1
Avinash Prabhu	1
Y V S Harish	1
Cheng Zhao	1
Madhava Krishna K	1
Harish Yvs	1
J. R. Taylor	1
Chao Zhang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Siamese Convolutional Neural Network for Sub-millimeter-accurate Camera Pose Estimation and Visual Servoing	2019	Cunjun Yu Zhongang Cai Hung N. Pham Quang‐Cuong Pham	3
+ PDF Chat	Exploring convolutional networks for end-to-end visual servoing	2017	Aseem Saxena Harit Pandya Gourav Kumar Ayush Gaud K. Madhava Krishna	2
+	Kinodynamic Planning on Constraint Manifolds	2017	Ricard Bordalba Lluís Ros Josep M. Porta	2
+	Habitat: A Platform for Embodied AI Research	2019	Manolis Savva Abhishek Kadian Oleksandr Maksymets Yili Zhao Erik Wijmans Bhavana Jain Julian Straub Jia Liu Vladlen Koltun Jitendra Malik	2
+ PDF Chat	Local Linear Convergence for Alternating and Averaged Nonconvex Projections	2008	Adrian S. Lewis D. Lüke Jérôme Malick	2
+ PDF Chat	Habitat: A Platform for Embodied AI Research	2019	Manolis Savva Abhishek Kadian Oleksandr Maksymets Yili Zhao Erik Wijmans Bhavana Jain Julian Straub Jia Liu Vladlen Koltun Jitendra Malik	2
+	Sim-to-real Transfer of Visuo-motor Policies for Reaching in Clutter: Domain Randomization and Adaptation with Modular Networks.	2017	Fangyi Zhang Jürgen Leitner Michael Milford Peter Corke	2
+ PDF Chat	PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization	2015	Alex Kendall Matthew Koichi Grimes Roberto Cipolla	2
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	2
+ PDF Chat	Deep spatial autoencoders for visuomotor learning	2016	Chelsea Finn Xin Tan Yan Duan Trevor Darrell Sergey Levine Pieter Abbeel	2
+ PDF Chat	On Projection Algorithms for Solving Convex Feasibility Problems	1996	Heinz H. Bauschke Jonathan M. Borwein	2
+	Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning.	2018	Frederik Ebert Sudeep Dasari Alex X. Lee Sergey Levine Chelsea Finn	2
+	High Quality Monocular Depth Estimation via Transfer Learning.	2018	Ibraheem Alhashim Peter Wonka	2
+ PDF Chat	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks	2017	Eddy Ilg N. Michael Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox	2
+ PDF Chat	Target-driven visual navigation in indoor scenes using deep reinforcement learning	2017	Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi	2
+ PDF Chat	Learning to generate chairs with convolutional neural networks	2015	Alexey Dosovitskiy Jost Tobias Springenberg Thomas Brox	2
+	Convergence Analysis of Alternating Nonconvex Projections.	2018	Zhihui Zhu Xiao Li	1
+	Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces	2019	Philipp Becker Harit Pandya Gregor H. W. Gebhardt Cheng Zhao C. James Taylor Gerhard Neumann	1
+	Combining Optimal Control and Learning for Visual Navigation in Novel Environments.	2019	Somil Bansal Varun Tolani Saurabh Gupta Jitendra Malik Claire J. Tomlin	1
+ PDF Chat	Deep Model Predictive Control with Online Learning for Complex Physical Systems.	2019	Katharina Bieker Sebastian Peitz Steven L. Brunton J. Nathan Kutz Michael Dellnitz	1
+ PDF Chat	PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud	2019	Shaoshuai Shi Xiaogang Wang Hongsheng Li	1
+	Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning	2018	Frederik Ebert Sudeep Dasari Alex X. Lee Sergey Levine Chelsea Finn	1
+	Disentangled Sequential Autoencoder	2018	Yingzhen Li Stephan Mandt	1
+ PDF Chat	Gibson Env: Real-World Perception for Embodied Agents	2018	Fei Xia Amir Zamir Zhiyang He Alexander F. Sax Jitendra Malik Silvio Savarese	1
+ PDF Chat	Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving	2019	Yan Wang Wei‐Lun Chao Divyansh Garg Bharath Hariharan Mark Campbell Kilian Q. Weinberger	1
+ PDF Chat	Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning	2018	Anusha Nagabandi Gregory Kahn Ronald S. Fearing Sergey Levine	1
+ PDF Chat	Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization	2018	Jonathan Tremblay Aayush Prakash David Acuna Mark Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield	1
+ PDF Chat	Deep Visual MPC-Policy Learning for Navigation	2019	Noriaki Hirose Fei Xia Roberto Martín-Martín Amir Sadeghian Silvio Savarese	1
+	Convergence Analysis of Alternating Projection Method for Nonconvex Sets	2018	Zhihui Zhu Xiao Li	1
+ PDF Chat	Joint 3D Proposal Generation and Object Detection from View Aggregation	2018	Jason S. Ku Melissa Mozifian Jungwook Lee Ali Harakeh Steven L. Waslander	1
+	Unsupervised Learning for Physical Interaction through Video Prediction	2016	Chelsea Finn Ian J. Goodfellow Sergey Levine	1
+ PDF Chat	Disciplined convex-concave programming	2016	Xinyue Shen Steven Diamond Yuantao Gu Stephen Boyd	1
+	Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models	2018	Kurtland Chua Roberto Calandra Rowan McAllister Sergey Levine	1
+ PDF Chat	Zero-Shot Visual Imitation	2018	Deepak Pathak Parsa Mahmoudieh Guanghao Luo Pulkit Agrawal Dian Chen Fred Shentu Evan Shelhamer Jitendra Malik Alexei A. Efros Trevor Darrell	1
+	On the Properties of Neural Machine Translation: Encoder–Decoder Approaches	2014	Kyunghyun Cho Bart van Merriënboer Dzmitry Bahdanau Yoshua Bengio	1
+ PDF Chat	Structured Inference Networks for Nonlinear State Space Models	2017	Rahul Krishnan Uri Shalit David Sontag	1
+ PDF Chat	Learning to Look around Objects for Top-View Representations of Outdoor Scenes	2018	Samuel Schulter Menghua Zhai Nathan Jacobs Manmohan Chandraker	1
+ PDF Chat	A Parametric Top-View Representation of Complex Road Scenes	2019	Ziyan Wang Buyu Liu Samuel Schulter Manmohan Chandraker	1
+	Learning to Navigate Using Mid-Level Visual Priors	2019	Alexander F. Sax Jeffrey O. Zhang Bradley Emi Amir Zamir Silvio Savarese Leonidas Guibas Jitendra Malik	1
+ PDF Chat	Learning to Play Table Tennis From Scratch Using Muscular Robots	2022	Dieter Büchler Simon Guist Roberto Calandra Vincent Berenz Bernhard Schölkopf Jan Peters	1
+	FlowControl: Optical Flow Based Visual Servoing	2020	Max Argus Lukás Hermann Jon Long Thomas Brox	1
+ PDF Chat	A General, Fast, and Robust Implementation of the Time-Optimal Path Parameterization Algorithm	2014	Quang‐Cuong Pham	1
+ PDF Chat	Deep Continuous Fusion for Multi-sensor 3D Object Detection	2018	Ming Liang Bin Yang Shenlong Wang Raquel Urtasun	1
+ PDF Chat	Monocular multi-layer layout estimation for warehouse racks	2021	Meher Shashwat Nigam Avinash Prabhu Anurag Sahu Tanvi Karandikar Puru Gupta N. Sai Shankar Ravi Kiran Sarvadevabhatla K. Madhava Krishna	1
+	High Quality Monocular Depth Estimation via Transfer Learning	2018	Ibraheem Alhashim Peter Wonka	1
+	Orthographic Feature Transform for Monocular 3D Object Detection	2018	Thomas Roddick Alex Kendall Roberto Cipolla	1
+	How transferable are features in deep neural networks?	2014	Jason Yosinski Jeff Clune Yoshua Bengio Hod Lipson	1
+ PDF Chat	FlowNet: Learning Optical Flow with Convolutional Networks	2015	Alexey Dosovitskiy Philipp Fischer Eddy Ilg Philip Häusser Caner Hazırbaş Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox	1
+ PDF Chat	Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search	2016	Tianhao Zhang Gregory Kahn Sergey Levine Pieter Abbeel	1
+	From Pixels to Torques: Policy Learning with Deep Dynamical Models	2015	Niklas Wahlström Thomas B. Schön Marc Peter Deisenroth	1