no code implementations • 17 Mar 2024 • Peng Jiang, Gaurav Pandey, Srikanth Saripalli
This paper presents a novel system designed for 3D mapping and visual relocalization using 3D Gaussian Splatting.
1 code implementation • 15 Mar 2024 • Pardis Taghavi, Reza Langari, Gaurav Pandey
This research paper presents an innovative multi-task learning framework that allows concurrent depth estimation and semantic segmentation using a single camera.
no code implementations • 4 Feb 2024 • Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
Following the success of Proximal Policy Optimization (PPO) for Reinforcement Learning from Human Feedback (RLHF), new techniques such as Sequence Likelihood Calibration (SLiC) and Direct Policy Optimization (DPO) have been proposed that are offline in nature and use rewards in an indirect manner.
1 code implementation • 17 Jan 2024 • Jamie J. R. Bennett, Yan Chak Li, Gaurav Pandey
In this paper, we introduce eipy--an open-source Python package for developing effective, multi-modal heterogeneous ensembles for classification.
1 code implementation • 30 Oct 2023 • Sri Aditya Deevi, Connor Lee, Lu Gan, Sushruth Nagesh, Gaurav Pandey, Soon-Jo Chung
Multimodal deep sensor fusion has the potential to enable autonomous vehicles to visually understand their surrounding environments in all weather conditions.
no code implementations • 2 Aug 2023 • Shenbagaraj Kannapiran, Nalin Bendapudi, Ming-Yuan Yu, Devarth Parikh, Spring Berman, Ankit Vora, Gaurav Pandey
In this paper, we present a Stereo Visual Odometry (StereoVO) technique based on point and line features which uses a novel feature-matching mechanism based on an Attention Graph Neural Network that is designed to perform well even under adverse weather conditions such as fog, haze, rain, and snow, and dynamic lighting conditions such as nighttime illumination and glare scenarios.
no code implementations • 20 Jun 2022 • Zhengxia Zou, Rusheng Zhang, Shengyin Shen, Gaurav Pandey, Punarjay Chakravarty, Armin Parchami, Henry X. Liu
We propose a novel and pragmatic framework for traffic scene perception with roadside cameras.
no code implementations • 11 Apr 2022 • Ella Rabinovich, Matan Vetzler, David Boaz, Vineet Kumar, Gaurav Pandey, Ateret Anaby-Tavor
The rapidly growing market demand for automatic dialogue agents capable of goal-oriented behavior has caused many tech-industry leaders to invest considerable efforts into task-oriented dialog systems.
no code implementations • 6 Apr 2022 • Gaurav Pandey, Danish Contractor, Sachindra Joshi
In this paper, we combine the best of both worlds by proposing a scalable model that can learn complex relationships between context-response pairs.
1 code implementation • 23 Nov 2021 • Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor
Recent methods for knowledge grounded dialogs generate responses by incorporating information from an external textual document.
1 code implementation • 15 Feb 2021 • Ana Stanescu, Gaurav Pandey
Heterogeneous ensembles that can aggregate an unrestricted number and variety of base predictors can effectively address challenging prediction problems.
no code implementations • 16 Jan 2021 • Ashish Kumar, James R. McBride, Gaurav Pandey
We propose an end-to-end real time framework to generate high resolution graphics grade textured 3D map of urban environment.
no code implementations • Findings (EMNLP) 2021 • Biswesh Mohapatra, Gaurav Pandey, Danish Contractor, Sachindra Joshi
Popular dialog datasets such as MultiWOZ are created by providing crowd workers an instruction, expressed in natural language, that describes the task to be accomplished.
no code implementations • 5 Oct 2020 • Sarah E. Houts, Nahid Pervez, Umair Ibrahim, Gaurav Pandey, Tyler G. R. Reid
There is a growing need for vehicle positioning information to support Advanced Driver Assistance Systems (ADAS), Connectivity (V2X), and Autonomous Driving (AD) features.
no code implementations • EMNLP 2020 • Kshitij Fadnis, Nathaniel Mills, Jatin Ganhotra, Haggai Roitman, Gaurav Pandey, Doron Cohen, Yosi Mass, Shai Erera, Chulaka Gunasekara, Danish Contractor, Siva Patel, Q. Vera Liao, Sachindra Joshi, Luis Lastras, David Konopnicki
Customer support agents play a crucial role as an interface between an organization and its end-users.
no code implementations • 6 Aug 2020 • Lior Lukov, Sanjay Chawla, Wei Liu, Brett Church, Gaurav Pandey
In this paper, we will show that the recently introduced graphical model: Conditional Random Fields (CRF) provides a template to integrate micro-level information about biological entities into a mathematical model to understand their macro-level behavior.
no code implementations • 1 Apr 2020 • Gaurav Pandey, Poonam Chaudhary, Rajan Gupta, Saibal Pal
In this study, outbreak of this disease has been analysed for India till 30th March 2020 and predictions have been made for the number of cases for the next 2 weeks.
no code implementations • 25 Mar 2020 • Ankit Vora, Siddharth Agarwal, Gaurav Pandey, James McBride
This paper presents a localization technique using aerial imagery maps and LIDAR based ground reflectivity for autonomous vehicles in urban environments.
1 code implementation • 17 Mar 2020 • Siddharth Agarwal, Ankit Vora, Gaurav Pandey, Wayne Williams, Helen Kourous, James McBride
This paper presents a challenging multi-agent seasonal dataset collected by a fleet of Ford autonomous vehicles at different days and times during 2017-18.
no code implementations • 11 Feb 2020 • Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
The proposed model, referred to as Mask \& Focus maps the input context to a sequence of concepts which are then used to generate the response concepts.
no code implementations • 4 Feb 2020 • Tom Roussel, Punarjay Chakravarty, Gaurav Pandey, Tinne Tuytelaars, Luc Van Eycken
We describe a Deep-Geometric Localizer that is able to estimate the full 6 Degree of Freedom (DoF) global pose of the camera from a single image in a previously mapped environment.
1 code implementation • ACCV2018 - Springer 2019 • Ramavtar Malav, Ayoung Kim, Soumya Ranjan Sahoo, Gaurav Pandey
In this paper we propose a novel end-to-end convolution dehazing architecture, called De-Haze and Smoke GAN (DHSGAN).
no code implementations • 17 Nov 2018 • Rohith AP, Ambedkar Dukkipati, Gaurav Pandey
In contrast, we propose an approach that directly addresses the problem of learning a classifier in the unlabeled target domain.
no code implementations • 2 Nov 2018 • Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi
However these states need to be handcrafted and annotated in the data.
no code implementations • 5 May 2018 • Ana Stanescu, Gaurav Pandey
Ensemble selection is an especially promising approach here, not only for improving prediction performance, but also because of its ability to select a collectively predictive subset, often a relatively small one, of the base predictors.
no code implementations • 28 Mar 2018 • Juan Castorena, Gint Puskorius, Gaurav Pandey
This work proposes a novel motion guided method for target-less self-calibration of a LiDAR and camera and use the re-projection of LiDAR points onto the image reference frame for real-time depth upsampling.
no code implementations • 23 Sep 2017 • Unnat Jain, Vinay P. Namboodiri, Gaurav Pandey
The modified system learns (in a supervised setting) compact binary codes from image feature descriptors.
1 code implementation • 3 Sep 2017 • Gaurav Pandey, Ambedkar Dukkipati
How can one use the same discriminative models for learning useful features in the absence of labels?
no code implementations • 3 May 2017 • Gaurav Pandey, Ambedkar Dukkipati
In this paper, we propose a model that generates auxiliary labels for each image, while simultaneously forcing the output of the CNN to satisfy the mean-field constraints imposed by a conditional random field.
no code implementations • 24 Jan 2017 • Gaurav Pandey, Ambedkar Dukkipati
We propose a neural network based approach for learning topics from text and image datasets.
no code implementations • 6 Mar 2016 • Gaurav Pandey, Ambedkar Dukkipati
We use the proposed model to generate faces from attributes.
no code implementations • 6 Sep 2015 • Gaurav Pandey, Ambedkar Dukkipati
The aim of the paper is to provide an exact approach for generating a Poisson process sampled from a hierarchical CRM, without having to instantiate the infinitely many atoms of the random measures.
no code implementations • 23 Feb 2014 • Gaurav Pandey, Ambedkar Dukkipati
To achieve acceptable performance for AI tasks, one can either use sophisticated feature extraction methods as the first layer in a two-layered supervised learning model, or learn the features directly using a deep (multi-layered) model.
no code implementations • 19 Sep 2013 • Sean Whalen, Gaurav Pandey
The combination of multiple classifiers using ensemble methods is increasingly important for making progress in a variety of difficult prediction problems.
no code implementations • 3 May 2012 • Ambedkar Dukkipati, Gaurav Pandey, Debarghya Ghoshdastidar, Paramita Koley, D. M. V. Satya Sriram
In this paper, we introduce a maximum entropy classification method with feature selection for large dimensional data such as text datasets that is generative in nature.