Pinned Repositories
2dtan
An optimized re-implementation for 2D-TAN: Learning 2D Temporal Localization Networks for Moment Localization with Natural Language (AAAI'2020).
ai-bibtex
AI publications, bibtex file. Hope it will help your writing!
Caffe_MultiLabel_Classification
This is a instance of multilabel classification in caffe. Thanks to the tools of multi-label data conversion tool in https://github.com/HolidayXue/CodeSnap by HolidayXue.
dropit
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR'23)
hircnn
hand state rcnn. detect hand box, classify w/wo object interaction.
manogcn
Code for MANO-GCN —— "Capturing Implicit Spatial Cues for Monocular 3D Hand Reconstruction" (ICME2021 Oral)
sampling-free
IEEE TIP: Is heuristic sampling necessary in training deep object detectors? Try sampling-free object detectors!
Vehicle_Detection_Recognition
This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html
vrd-case
afformer
Affordance Grounding from Demonstration Video to Target Image (CVPR 2023)
chenjoya's Repositories
chenjoya/sampling-free
IEEE TIP: Is heuristic sampling necessary in training deep object detectors? Try sampling-free object detectors!
chenjoya/Vehicle_Detection_Recognition
This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html
chenjoya/2dtan
An optimized re-implementation for 2D-TAN: Learning 2D Temporal Localization Networks for Moment Localization with Natural Language (AAAI'2020).
chenjoya/Caffe_MultiLabel_Classification
This is a instance of multilabel classification in caffe. Thanks to the tools of multi-label data conversion tool in https://github.com/HolidayXue/CodeSnap by HolidayXue.
chenjoya/dropit
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR'23)
chenjoya/manogcn
Code for MANO-GCN —— "Capturing Implicit Spatial Cues for Monocular 3D Hand Reconstruction" (ICME2021 Oral)
chenjoya/ai-bibtex
AI publications, bibtex file. Hope it will help your writing!
chenjoya/vrd-case
chenjoya/hircnn
hand state rcnn. detect hand box, classify w/wo object interaction.
chenjoya/clean
chenjoya/overlap-sampler
Overlap Sampler for Region-Based Detectors, WACV 2020, based on maskrcnn-benchmark
chenjoya/vrsfacem
chenjoya/chenjoya.github.io
chenjoya/resobj
Pattern Recognition (Journal): Residual Objectness for Object Detection, implemented by detectron2
chenjoya/chatbot
chenjoya/chatgpt-on-wechat
chenjoya/Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
chenjoya/google-research
Google Research
chenjoya/GRiT
GRiT: A Generative Region-to-text Transformer for Object Understanding (https://arxiv.org/abs/2212.00280)
chenjoya/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
chenjoya/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.