Training compact deep learning models for video classification using circulant matrices
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Updated
Nov 9, 2018 - Python
Training compact deep learning models for video classification using circulant matrices
Emotion Recognition by 3DPyraNet
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection
Deep Regression Tracking with Shrinkage Loss (ECCV 2018).
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"
Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.
Relational Content-Based Image Retrieval (R-CBIR) - Retrieving images with given relationships among objects
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.
DispNet3, FlowNet3, FlowNetH, SceneFlowNet -- in Docker
Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
pytorch implement of this paper: https://arxiv.org/abs/1807.11176
Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow
A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"
Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries, ECCV 2018
Tensorflow ShuffleNet v2 implementation
Rastering algorithm to approximate the rendering of a 3D model silhouette in a fully differentiable way.
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