Joya Chen

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

2dtan. An optimized re-implementation for 2D-TAN: Learning 2D Temporal Localization Networks for Moment Localization with Natural Language (AAAI'2020).

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 2023)

manogcn. Code for MANO-GCN —— "Capturing Implicit Spatial Cues for Monocular 3D Hand Reconstruction" (ICME2021 Oral)

ai-bibtex. AI publications, bibtex file. Hope it will help your writing!

vrd-case. Python

hircnn. hand state rcnn. detect hand box, classify w/wo object interaction.

clean. Python

overlap-sampler. Overlap Sampler for Region-Based Detectors, WACV 2020, based on maskrcnn-benchmark

vrsfacem. C++

resobj. Pattern Recognition (Journal): Residual Objectness for Object Detection, implemented by detectron2

chenjoya.github.io. HTML