ijcv

There are 0 repository under ijcv topic.

DLR-RM / 3DObjectTracking
Algorithms and Publications on 3D Object Tracking
accv2020 articulated computer-vision cvpr2022 ijcv iros2023 multi-body multi-modality object-tracking paper pose-estimation real-time rgbd tpami tracking
Language:C++ 591
Seg-Uncertainty
layumi / Seg-Uncertainty
IJCAI2020 & IJCV2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo
ijcai domain-adaptation semantic-segmentation pytorch ijcai2020 pytorch-implementation gta5 cityscapes synthia robotcar self-driving-car domainadaptation transfer-learning mrnet ijcv
Language:Python 379
CVLAB-Unibo / Keypoint-Learning
Code for "Learning a Descriptor-Specific 3D Keypoint Detector" and "Learning to detect good 3d keypoints" -ICCV 2015, IJCV 2018
computer-vision 3d keypoints-detector random-forest machine-learning iccv2015 ijcv descriptor keypoints 3d-keypoints point-cloud keypoint-learning
Language:C++ 27
perceivelab / hd2s
The official PyTorch implementation for paper "Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction"
deep-learning video-saliency-prediction ijcv ijcv2021 dhf1k saliency s3d mobilnet-v2 deep-supervision
Language:Python 20
verlab / ShapeAwareHumanRetargeting_IJCV_2021
Code and dataset of human retargeting approach to transfer motion and appearance between monocular videos. Check the examples from our dataset with several paired actors and motions!
computer-vision motion-analysis retargeting-motion human-retargeting 3d-human human-motion ijcv human-scene-interaction human-pose-estimation smpl smpl-3d-2d retargeting-animations
Language:Python 20
matteo-dunnhofer / TREK-150-toolkit
Official code repository to download the TREK-150 benchmark dataset and run experiments on it.
visual-object-tracking trek-150 first-person-vision egocentric-vision vot2021 visual-tracking computer-vision ijcv
Language:Python 11
hhb072 / SWAL
Selective Wavelet Attention Learning for Single Image Deraining
pytorch deraining rainremoval ijcv wavelet
Language:Python 9
wenbihan / octobos_IJCV2016
OCTOBOS, overcomplete transform, learning and application codes, Matlab implementation, IJCV2015 paper
clustering computer-vision denoising ijcv sparse-coding transform-learning unsupervised-learning
Language:Matlab 9
matteo-dunnhofer / fpv-tracking-baselines
Python implementation of the LTMU-H and TbyD-H trackers proposed in https://arxiv.org/abs/2209.13502
egocentric-vision first-person-vision ijcv object-tracking visual-tracking computer-vision
Language:Python 0