Github olives gatech. OLIVES @GATech has 79 repositories available.

Github olives gatech Negative flips on the 2D artificial spiral dataset. I. Go to the ssl directory; Train the backbone network with SimCLR loss function and object crops using main_supcon. surface smoothness) of materials, i. Hasan, “Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint,” in IEEE Transactions on Intelligent Transportation OLIVES @GATech has 79 repositories available. py a) An example of a script would be: Saved searches Use saved searches to filter your results more quickly This is a demonstration of the algorithm described in the paper "MS-UNIQUE: Multi Model and Sharpness Weighted Unsupervised Image Quality Estimation". You signed in with another tab or window. Zhou, G. It has recently been accepted for publication in the IEEE International Conference on Big Data (Acceptance Rate 17. You switched accounts on another tab or window. K. This work was conducted in the OLIVES @ Georgia Institute of Technology. edu for your publication to be listed here. To achieve more robust userindependent motion gesture recognition in a manner analogous to automatic speech recognition, we need a deeper understanding of the motions in gesture, which arouses the need for a 6D motion gesture database. OLIVES @GATech has 96 repositories available. We use this baseline to thoroughly examine the use of both RNNs and Temporal-ConvNets for extracting spatiotemporal information. Saved searches Use saved searches to filter your results more quickly Self-Supervised Experiments. 1st subsheet (CLBP VS CLDP): comparisons between CLBP and CLDP on classification accuracy for each combination scheme under a certain (P, R) Each row represents a combination scheme and each colomn represents Saved searches Use saved searches to filter your results more quickly Publication: Y. AlRegib, “Distorted Representation Space Characterization through Backpropagated Gradients ,” accepted to the IEEE International Conference on Image Processing, Taipei, Taiwan This is the official PyTorch implementation of our papers: Temporal Attentive Alignment for Large-Scale Video Domain Adaptation Min-Hung Chen, Zsolt Kira, Ghassan AlRegib (Advisor), Jaekwon Yoo, Ruxin Chen, Jian Zheng If you have any questions regarding the dataset or the code, you can contact the author (eozturk7@gatech. Welcome to OLIVES, the Omni Lab for Intelligent Visual Engineering and Sciences! At OLIVES, we conduct transformational research in Machine Learning with the motto of ameliorating the data-centric nature of learning systems to be human-centric. Saved searches Use saved searches to filter your results more quickly H. Building upon our experimental results, we then propose and investigate two different OLIVES @GATech has 82 repositories available. Aug 4, 2023 · Saved searches Use saved searches to filter your results more quickly The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network", in SEG Technical Program Expanded Abstracts, 2019. Prompting Results ├── Baseball bat # Image dataset ├── st1 # Human annotator # 1 ├── eachround # List of length t (number of timestamps); indicates which timesteps belong to each of the two rounds (if they exist) ├── masks # Contains the binary masks produced for each image, in format a_b_mask. Follow their code on GitHub. Di, M. There are two folders : Demo and Complete Pipeline. AlRegib, “Distorted Representation Space Characterization through Backpropagated Gradients ,” accepted to the IEEE International Conference on Image Processing, Taipei, Taiwan Abstract. 4, 2024. SHifted Adversaries using Pixel Elimination(SHAPE) - olivesgatech/SHAPE Code for paper - D. AlRegib, "VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability," in IEEE Journal of Selected Topics in Signal Processing, doi: 10. Reload to refresh your session. Feel free to check our lab's Website and GitHub for other interesting work!!! C. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. AlRegib, "A comparative study of quality and content-based spatial pooling strategies in image quality assessment," 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Orlando, FL, 2015, pp. Current modes of visual explanations answer questions of the form ‘Why P?’. Official code repository for Targeting Negative Flips in Active Learning using Validation Set paper presented at IEEE International Conference on Big Data 2024, Washington DC, USA. Can set fixed test size via --forgetting_mode='fixed' or dynamic test size via --forgetting_mode='dynamic'. "Three‐dimensional curvature analysis of seismic waveforms and its interpretational implications. About Code for generating the results in Intelligent Multi-View Test Time Augmentation published at ICIP 2024. If you utilize or refer to CURE-TSR dataset, please email cantemel@gatech. U. 732-736. To run an experiment, you must specify your configurations in the config file. Other parameters like query size ( --nquery ) can be modified. In this paper, we introduce the Ophthalmic Labels for Investigating Visual Eye Semantics (OLIVES) dataset that addresses the above limitations. AlRegib, A. If you utilize or refer to CURE-TSD dataset, please email cantemel@gatech. edu Co Machine learning-assisted seismic interpretation tasks require large quantities of labeled data annotated by expert interpreters, which is a costly and time-consuming process. Long, G. 587-590. Parchami, and K. Cannot retrieve latest commit at this time. Feb 2, 2016 · Results reproduction PS: we run Matlab2014b codes on Intel Core i7-4790K 4. Pan, D. , computational material characterization, which moves a step further [J-STSP Special Issue] VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability. 1109 Accurate interpretation of visual data for relevant information forms an important component of many real-world applications such as medical disease diagnosis, geological hazard assessment, hydrocarbon exploration, etc. OLIVES @GATech Motion-based control is gaining popularity, and motion gestures form a complementary modality in human-computer interactions. Given an original and a distorted image, MS-UNIQUE gives out a score that approximates the perceptual quality of the distorted image. Arxiv paper available at https://arxiv. 7. OLIVES @GATech has 96 repositories available. Prabhushankar, D. You signed out in another tab or window. AlRegib, “Multi-level Texture Encoding and Representation (MuLTER) based on Deep Neural Networks,” IEEE International Conference on Image Processing, Taipei, Taiwan, September 2019. AlRegib, "Image quality assessment and color difference," 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, GA, 2014, Saved searches Use saved searches to filter your results more quickly This repository contains the description and the link to a subsampled version of the original CURE-OR dataset. We investigate different regularization techniques including l 1 ((a), (d)), l 2 ((b), (e)), and elastic net ((c), (f)) regularizations and show filters for visual concepts such as colors and edge can be explicitly learned using elastic net regularization. OLIVES @GATech has 78 repositories available. OLIVES @GATech has 79 repositories available. For the purposes of Georgia Tech ECE 6258 only. 00GHz. 48, pp. [PDF] The code has been built in Python 3. Hu, Z. In this paper we propose GradTrust, a classification trust measure for large-scale neural networks at inference. Prabhushankar and G. Code for paper - D. Aiming at describing objects or scenes with more detailed information, we explore how to computationally characterize apparent or latent properties (e. org/pdf/2405. This is an official code repository for the paper: Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, and Ghassan AlRegib, "Backpropagated Gradient Representations for Anomaly Detection," In Proceedings of the European Conference on Computer Vision (ECCV), 2020. 15-20, 2019. Official code repository for the paper: M. AlRegib, “CSV: Image Quality Assessment Based on Color, Structure, and Visual System”, the Signal Processing: Image Communication Journal, vol. Nov 25, 2024 · Contains codes for our work on active learning on seismic interpretation. At the Center for Energy and Geo Processing (CeGP) and at the OLIVES lab, we created the S3I tool in order to: Provides an easy MATLAB®-based library to simulate seismic imaging Produces synthesized data for any given velocity model Saved searches Use saved searches to filter your results more quickly This command assumes you already moved into this repository with cd. Temel and G. xlsx a. This repository contains the training, testing, and demo codes for the paper - UNIQUE : Unsupervised Image Quality Estimation. This repository includes the codes for the paper: 'Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network', Expanded Abstracts of the SEG Annual Meeting , San Antonio, TX, Sep. Temel, and G. Demo code provides the necessary model and code to assess the quality of given reference and distorted images. Contribute to olivesgatech/gauss development by creating an account on GitHub. edu). Visual explanations are logical arguments based on visual features that justify the predictions made by neural networks. The seismic volume that contains the salt dome structure has an inline number ranging from #151 to #501, a crossline number ranging from #401 to #701, and a time direction ranging from 1,300ms to 1,848ms sampled every 4ms. 13758. AlRegib. AlRegib, "HeartBEAT: Heart beat estimation through adaptive tracking," 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Las Vegas, NV, 2016, pp. e. Das and M. Saved searches Use saved searches to filter your results more quickly This work is done in the OLIVES @ Georgia Institute of Technology This repository includes the codes for the paper: Gukyeong Kwon* , Mohit Prabhushankar* , Dogancan Temel , and Ghassan AlRegib , "Distorted Representation Space Characterization Through Backpropagated Gradients", 2019 IEEE International Conference on Image Processing (ICIP Code for paper - H. - olivesgatech/MS-UNIQUE We have used the real seismic dataset acquired from the Netherland’s offshore, F3 block in the North Sea, whose size is 24 x 16 km^2. Kwon, M. In this work, we demonstrate a strong baseline two-stream ConvNet using ResNet-101. Alfarraj, and G. This is the first OCT and fundus dataset that includes clinical labels, biomarker labels, and time-series patient treatment information from associated clinical trials. The proposed method utilizes variance of counterfactual gradients, i. --dynamic_test_size is by default 0 when using the dynamic test set (indicates adding in entire visit at each round) Code repository for the paper. The score lies between 0 and 1 (1 being the best quality Code for paper - D. g. The goal of this project is to analyze the robustness of off-the-shelf recognition applications under multifarious challenging conditions, investigate the relationship between the recognition performance and image quality, and estimate the performance based on hand-crafted features as well as data-driven features. This is a demonstration of the algorithm described in the paper "UNIQUE: Unsupervised Image Quality Estimation". . Long, and G. Singh, “TrajPRed: Trajectory Prediction with Region-based Relation Learning,” in IEEE Transactions on Intelligent Transportation Systems (T-ITS) , Mar. Kamal, T. OLIVES Lab, Georgia Institute of Technology. Singh, "Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior," in IEEE International GitHub is where people build software. Hasan, “Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint,” in IEEE Transactions on Intelligent Transportation GitHub community articles 2018/09/24, Yuting Hu Affiliation: Omni Lab for Intelligent Visual Engineering and Science (OLIVES) Yuting Hu huyuting@gatech. 0 and requires the following Saved searches Use saved searches to filter your results more quickly In this paper, we introduce the Ophthalmic Labels for Investigating Visual Eye Semantics (OLIVES) dataset that addresses the above limitations. Recognizing textures and materials in real-world images has played an important role in object recognition and scene understanding. Tonmoy, S. 92-103, October 2016 - olivesgatech/CSV Saved searches Use saved searches to filter your results more quickly Code used in the paper Introspective Learning : A Two-Stage Approach for Inference in Neural Networks, accepted at Advances in Neural Information Processing Systems (2022), Nov 29 - Dec 1, 2022. This work was done in the Omni Lab for Intelligent Visual Engineering and Science (OLIVES) @ Georgia Tech. the required changes in the network parameters if the label were different. GitHub - olivesgatech/VIPCUP2023_OLIVES: This repository provides starter code and recommendations for starting the VIP CUP 2023 competition. The goal of this project is to analyze the robustness of off-the-shelf recognition applications under multifarious challenging conditions, investigate the relationship between the Y. Producing fine-grained annotations on images is an expensive, laborious, and time-consuming process. @article{di2018three, title={Three-dimensional curvature analysis of seismic waveforms and its interpretational implications . " Geophysical Prospecting (2018). It has recently been accepted for publication in the IEEE Journal for Biomedical and Health Informatics!! Feel free to check our lab's Website and GitHub for other interesting work!!! Mar 4, 2024 · Feel free to check our lab's Website and GitHub for other interesting work!!! C. This work was done in the Omni Lab for Intelligent Visual Engineering and Science (OLIVES) @ Georgia Tech in collaboration with the Ford Motor Company. png, where 'a' corresponds to the image number (0 to 399) and 'b' indexes This work was mainly done in the Omni Lab for Intelligent Visual Engineering and Science (OLIVES) @ Georgia Tech. AlRegib, “Scale Selective Extended Local Binary Pattern for Texture Classification,” IEEE International Conference on Acoustics If you utilize or refer to CURE-TSR dataset, please email cantemel@gatech. G. Given an original and a distorted image, UNIQUE gives out a score that approximates the perceptual quality of the distorted image. Original experimental results: \CLDP\Outex\Results\CDLP-based Classification Results_20160128. Work conducted at OLIVES@GaTech. 4%)!! Feel free to check our lab's Website and GitHub for other interesting work!!! This work was done in the Omni Lab for Intelligent Visual Engineering and Science (OLIVES) @ Georgia Tech. ejeu mksyh asorxj nupn zbaj irxkx tztnod ovkc ncpjvm syhea