no code implementations • 27 May 2024 • Abdulaziz Almuzairee, Nicklas Hansen, Henrik I. Christensen
We benchmark its effectiveness on DMC-GB2 -- our proposed extension of the popular DMControl Generalization Benchmark -- as well as tasks from Meta-World and the Distracting Control Suite, and find that our method, SADA, greatly improves training stability and generalization of RL agents across a diverse set of augmentations.
no code implementations • 30 Apr 2024 • Narayanan Elavathur Ranganatha, Hengyuan Zhang, Shashank Venkatramani, Jing-Yan Liao, Henrik I. Christensen
In response to this challenge, we propose a modular pipeline for vector map generation with improved generalization to sensor configurations.
no code implementations • 8 Mar 2024 • Christopher D'Ambrosia, Florian Richter, Zih-Yun Chiu, Nikhil Shinde, Fei Liu, Henrik I. Christensen, Michael C. Yip
Uncertainties in mechanical systems as well as camera calibration create errors in this coordinate frame transformation.
no code implementations • 3 Nov 2023 • David Paz, Narayanan E. Ranganatha, Srinidhi K. Srinivas, Yunchao Yao, Henrik I. Christensen
This research work seeks to explore and identify strategies that can determine road topology information in 2D and 3D under highly dynamic urban driving scenarios.
no code implementations • ICCV 2023 • Anwesan Pal, Sahil Wadhwa, Ayush Jaiswal, Xu Zhang, Yue Wu, Rakesh Chada, Pradeep Natarajan, Henrik I. Christensen
Extensive evaluation results show that our proposed method outperforms the previous state-of-the-art algorithm by 50. 5%, on Multi-turn FashionIQ -- the only existing multi-turn fashion dataset currently, in addition to having a relative improvement of 12. 6% on Multi-turn Shoes -- an extension of the single-turn Shoes dataset that we created in this work.
no code implementations • 13 Aug 2023 • Yiding Qiu, Henrik I. Christensen
3D scene graph prediction is a task that aims to concurrently predict object classes and their relationships within a 3D environment.
no code implementations • 4 Feb 2023 • David Paz, Srinidhi Kalgundi Srinivas, Yunchao Yao, Henrik I. Christensen
This work introduces a new approach for joint detection of centerlines based on image data by localizing the features jointly in 2D and 3D.
1 code implementation • 10 Jan 2023 • Hengyuan Zhang, Jing-Yan Liao, David Paz, Henrik I. Christensen
Many outdoor autonomous mobile platforms require more human identity anonymized data to power their data-driven algorithms.
no code implementations • 12 Mar 2021 • Priyam Parashar, Aayush Naik, Jiaming Hu, Henrik I. Christensen
The World Robotics Challenge (2018 & 2020) was designed to challenge teams to design systems that are easy to adapt to new tasks and to ensure robust operation in a semi-structured environment.
1 code implementation • 15 Mar 2020 • Yiding Qiu, Anwesan Pal, Henrik I. Christensen
Direct search for objects as part of navigation poses a challenge for small items.
no code implementations • 24 Nov 2019 • Anwesan Pal, Sayan Mondal, Henrik I. Christensen
In recent years, predicting driver's focus of attention has been a very active area of research in the autonomous driving community.
1 code implementation • 1 Aug 2019 • Anwesan Pal, Carlos Nieto-Granda, Henrik I. Christensen
In recent years, there has been a rapid increase in the number of service robots deployed for aiding people in their daily activities.
1 code implementation • 28 Mar 2019 • Quan Vuong, Sharad Vikram, Hao Su, Sicun Gao, Henrik I. Christensen
A human-specified design choice in domain randomization is the form and parameters of the distribution of simulated environments.
no code implementations • 3 Aug 2018 • Rahul Sawhney, Fuxin Li, Henrik I. Christensen, Charles L. Isbell
We show how it can be employed to select a diverse set of data frames which have structurally similar content, and how to validate whether views with similar geometric content are from the same scene.
1 code implementation • 11 Feb 2017 • Siddharth Choudhary, Luca Carlone, Carlos Nieto, John Rogers, Henrik I. Christensen, Frank Dellaert
Our field tests show that the combined use of our distributed algorithms and object-based models reduces the communication requirements by several orders of magnitude and enables distributed mapping with large teams of robots in real-world problems.
1 code implementation • 19 Oct 2016 • Samarth Brahmbhatt, Henrik I. Christensen, James Hays
Through experiments on Pascal VOC 2007 and 2012, we demonstrate the effectiveness of this method and show that StuffNet also significantly improves object detection performance on such datasets.
no code implementations • 15 Nov 2014 • Rahul Sawhney, Fuxin Li, Henrik I. Christensen
A fundamental challenge to sensory processing tasks in perception and robotics is the problem of obtaining data associations across views.
no code implementations • 15 Nov 2014 • Rahul Sawhney, Henrik I. Christensen, Gary R. Bradski
Mean Shift today, is widely used for mode detection and clustering.