Qing Li's Projects
Closed-Loop Neural Symbolic Learning
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
The final project for CS249-GNN-2021 Winter
Independent implementation of DBCA method from http://arxiv.org/abs/1912.09713
CS231n: Convolutional Neural Networks for Visual Recognition Assignment solutions
A faster pytorch implementation of faster r-cnn
My first repository on GitHub
Official implementation of ICLR 2023 paper "A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics"
Config files for my GitHub profile.
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Efficient Image Captioning code in Torch, runs on GPU
Theano implementation of neuraltalk code by karpathy (https://github.com/karpathy/neuraltalk)
Neural-Grammar-Symbolic Learning with Back-Search
neural module network on the GQA dataset
Neural-symbolic visual question answering
Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"
Oscar and VinVL
Count the MACs / FLOPs of your PyTorch model.
SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.
Semantic Propositional Image Caption Evaluation
TFT机器学习小组第三周