draxler1
Research Scholar, Deep Learning and Computer Vision
Indian Institute of Technology, BhubaneswarBhubaneswar, Odisa, India
Pinned Repositories
architecture_diagram_DrawIO
This repository contains diagrams (pdf) and their XML files (.io) that I have created in during Ph.D.
C3D_TSN
ColabPrimerSS2021
Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset.
MP-RAD-Dataset-ITS-
MP-RAD Dataset for the paper, "Detection of Road Accidents using Synthetically Generated Multi-Perspective Accident Videos", published in IEEE Transactions on Intelligent Transportation Systems , 2022.
multi_stream_late_fusion_anomaly_detection
PEARL30K
Official repository for "CLIPping Imbalances: A Novel Evaluation Baseline and PEARL Dataset for Pedestrian Attribute Recognition", WACV'24"
draxler1's Repositories
draxler1/MP-RAD-Dataset-ITS-
MP-RAD Dataset for the paper, "Detection of Road Accidents using Synthetically Generated Multi-Perspective Accident Videos", published in IEEE Transactions on Intelligent Transportation Systems , 2022.
draxler1/architecture_diagram_DrawIO
This repository contains diagrams (pdf) and their XML files (.io) that I have created in during Ph.D.
draxler1/C3D_TSN
draxler1/ColabPrimerSS2021
draxler1/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
draxler1/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
draxler1/image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
draxler1/kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset.
draxler1/multi_stream_late_fusion_anomaly_detection
draxler1/PEARL30K
Official repository for "CLIPping Imbalances: A Novel Evaluation Baseline and PEARL Dataset for Pedestrian Attribute Recognition", WACV'24"
draxler1/pwc
Papers with code. Sorted by stars. Updated weekly.
draxler1/SummerSchool2021_HandsOn_Aug7
draxler1/VEC_VAD
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. Oral paper in ACM Multimedia 2020.