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Liviu-Daniel's Projects

deepsolo icon deepsolo

The official repo for [CVPR'23] "DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting" & [ArXiv'23] "DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Text Spotting"

deepspeech icon deepspeech

End-to-end speech recognition using distributed TensorFlow

deepvideoanalytics icon deepvideoanalytics

Analyze videos & images, perform detections, index frames & detected objects, search by examples.

deepviz icon deepviz

My CPSC 547 final project: a javascript-based visualization tool for image retrieval.

deepvoice3_pytorch icon deepvoice3_pytorch

PyTorch implementation of convolutional networks-based text-to-speech synthesis models

dense_feat icon dense_feat

package for dense color histogram and dense SIFT feature extraction

densecap icon densecap

Dense captioning with joint inference and visual context

densenet icon densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densepose icon densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

depthnet icon depthnet

PyTorch DepthNet Training on Still Box dataset

detectron.pytorch icon detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

dg-net icon dg-net

CVPR2019 Joint Discriminative and Generative Learning for Person Re-identification

dgtl-for-vt-reid icon dgtl-for-vt-reid

Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification

digits icon digits

Deep Learning GPU Training System

dilation icon dilation

Dilated Convolution for Semantic Image Segmentation

discogan icon discogan

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

discogan-pytorch icon discogan-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

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