Deep Regression Tracking with Shrinkage Loss (ECCV 2018).
-
Updated
Sep 3, 2020 - Jupyter Notebook
Deep Regression Tracking with Shrinkage Loss (ECCV 2018).
Relational Content-Based Image Retrieval (R-CBIR) - Retrieving images with given relationships among objects
Training compact deep learning models for video classification using circulant matrices
Exploiting Multi-Layer Features Using a CNN-RNN Approach for RGB-D Object Recognition (ECCV 2018 workshops)
Code for our ECCV 2018 paper "Affine Correspondences between Central Cameras for Rapid Relative Pose Estimation"
Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection
Emotion Recognition by 3DPyraNet
Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries, ECCV 2018
A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"
DispNet3, FlowNet3, FlowNetH, SceneFlowNet -- in Docker
pytorch implement of this paper: https://arxiv.org/abs/1807.11176
This is a Verilog algorithm which takes 8bits and encrypts the data for the purpose of secure communication based on the concept of Elliptic Curve Cryptography. This project was implemented using a spartan 3 FPGA kit.
Rastering algorithm to approximate the rendering of a 3D model silhouette in a fully differentiable way.
Pytorch Implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori , ECCV 2018
SaGAN PyTorch "Generative Adversarial Network with Spatial Attention for Face Attribute Editing"
Add a description, image, and links to the eccv-2018 topic page so that developers can more easily learn about it.
To associate your repository with the eccv-2018 topic, visit your repo's landing page and select "manage topics."