Pinned Repositories
AAAI21-RoutineAugmentedPolicyLearning
Source code to the AAAI21 publication Augmenting Policy Learning with Routines Discovered from a Single Demonstration
awesome-6d-object
Awesome work on object 6 DoF pose estimation
awesome-program
A curated list of papers related to program synthesis, program induction, program execution, program and code repair, and programmatic reinforcement learning.
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
betapose
Betapose for 6D pose estimation
ChinaVis2019_proj
Analysis Transportation of Chengdu (Winner in ChinaVis 2019)
classified-transformer-papers
transformer papers with their classified ideas, links, and main ideas
Neurips21-ProTo-Program-guided-Transformers-for-Program-guided-Tasks
Official code repo for "ProTo: program-guided Transformers for Program-guided Tasks
segmentation-driven-pose
Reimplementation of segmentation-driven pose, add training code
UnboundedNeRFPytorch
State-of-the-art, simple, fast unbounded / large-scale NeRFs.
sjtuytc's Repositories
sjtuytc/UnboundedNeRFPytorch
State-of-the-art, simple, fast unbounded / large-scale NeRFs.
sjtuytc/betapose
Betapose for 6D pose estimation
sjtuytc/Neurips21-ProTo-Program-guided-Transformers-for-Program-guided-Tasks
Official code repo for "ProTo: program-guided Transformers for Program-guided Tasks
sjtuytc/classified-transformer-papers
transformer papers with their classified ideas, links, and main ideas
sjtuytc/AAAI21-RoutineAugmentedPolicyLearning
Source code to the AAAI21 publication Augmenting Policy Learning with Routines Discovered from a Single Demonstration
sjtuytc/awesome-program
A curated list of papers related to program synthesis, program induction, program execution, program and code repair, and programmatic reinforcement learning.
sjtuytc/Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
sjtuytc/awesome-6d-object
Awesome work on object 6 DoF pose estimation
sjtuytc/bottom-up-attention.pytorch
An PyTorch reimplementation of bottom-up-attention models
sjtuytc/Elevator-MARL
Asynchronous Elevator Control Simulator + Multi-Agent Reinforcement Learning training algorithms
sjtuytc/mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
sjtuytc/awesome-visual-question-answering
A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.
sjtuytc/Barcodes
Estimate quality parameters for several images of linear barcodes according to the specific ISO/IEC 15416.
sjtuytc/ByteTrack
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
sjtuytc/CUHK-CSCI-2017-2021-Course-Source-Repository
CUHK CSCI students shared course data, from lecture notes to homework source codes.
sjtuytc/FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
sjtuytc/kaldi
kaldi-asr/kaldi is the official location of the Kaldi project.
sjtuytc/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
sjtuytc/mmaction2
OpenMMLab's Next Generation Action Understanding Toolbox and Benchmark
sjtuytc/MOTR
sjtuytc/MulFAGrid-web
Website of MulFAGrid
sjtuytc/neurips_visualization
visualize neurips submission material
sjtuytc/opencv_3rdparty
OpenCV - 3rdparty
sjtuytc/Oscar
Oscar and VinVL
sjtuytc/pino-pc-web
website of pino-pc
sjtuytc/sjtuytc.github.io
Homepage for Zelin Zhao
sjtuytc/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
sjtuytc/Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
sjtuytc/touchTorch
Use the Force Luke! Learning to Predict Physical Forces by Simulating Effects [CVPR2020] (https://arxiv.org/pdf/2003.12045.pdf)
sjtuytc/tracking_wo_bnw
Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"