Name: Lichao
Type: User
Company: Computer vision center (CVC)
Bio: Deep Learning, Visual Tracking, Multi-Modal Tracking, Image-to-Image Translation
Location: Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vallès, Barcelona
Blog: https://scholar.google.com/citations?user=-MPXaHEAAAAJ&hl=en
Lichao's Projects
This repo includes ChatGPT prompt curation to use ChatGPT better.
visual tracker benchmark results
Caffe fork that supports Fast R-CNN
Benchmark results of correlation filters
5th visual object tracking(VOT) tracker CFWCR
Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking (ACM MM 2021)
[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking
DCFNet: Discriminant Correlation Filters Network for Visual Tracking
Code release for "Detect to Track and Track to Detect", ICCV 2017
Matlab implementation of the ECO tracker.
Multi-modal fusion for end-to-end RGB-T tracking (Winner of VOT-RGBT2019)
FiLM: Visual Reasoning with a General Conditioning Layer
Code for ICCV 2017 paper "Learning to Push the Limits of Efficient FFT-based Image Deconvolution" (Jakob Kruse, Carsten Rother, and Uwe Schmidt)
Synthetic data generation for end-to-end TIR tracking (TIP2018)
Inkscape extension for rounding off the corners of straight-edged polygons
Inference code for LLaMA models
Long-term Tracking in the Wild: A Benchmark
MatConvNet: CNNs for MATLAB
cvpr2018
Matconvnet port of https://github.com/jcjohnson/neural-style
Image-to-Image Translation in PyTorch
Pytorch implementation of "Fully-Convolutional Siamese Networks for Object Tracking"
Visual tracking library based on PyTorch.
A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.
The rep for the RankIQA paper in ICCV 2017
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking