PhyllisH

CoCa3D

Where2comm

caption-eval

Sentence/Caption evaluation using automated metrics

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

CoBEVT

[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

CodeFilling

DVDET

NMMP

Code for "Collaborative Motion Prediction via Neural Motion Message Passing", CVPR 2020 Oral

NMP

Code for Neural Message Passing for Visual Relationship Detection

PragComm

PhyllisH/NMMP

Code for "Collaborative Motion Prediction via Neural Motion Message Passing", CVPR 2020 Oral

PhyllisH/NMP

Code for Neural Message Passing for Visual Relationship Detection

PhyllisH/CodeFilling

PhyllisH/DVDET

PhyllisH/PragComm

PhyllisH/CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

PhyllisH/caption-eval

Sentence/Caption evaluation using automated metrics

PhyllisH/CoBEVT

[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

PhyllisH/coco-caption

PhyllisH/DAIR-V2X

PhyllisH/GMCMthesis

2018年研究生数学建模LaTeX模板

PhyllisH/gunet

Pytorch implementation of Graph U-Nets (ICML19)

PhyllisH/libRaptorQ

RaptorQ RFC6330 C++11 implementation

PhyllisH/lihang-code

《统计学习方法》的代码实现

PhyllisH/lstmcrf

PhyllisH/MultiAgentPerception

Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"

PhyllisH/NRI

Neural relational inference for interacting systems - pytorch

PhyllisH/PhyllisH.github.io

PhyllisH/PMFNet

Implementation of "Pose-aware Multi-level Feature Network for Human Object Interaction Detection"(ICCV 2019 Oral)

PhyllisH/PPDM

Code for "PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection".

PhyllisH/Quiz3

PhyllisH/RAKE-tutorial

A python implementation of the Rapid Automatic Keyword Extraction

PhyllisH/sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

PhyllisH/v2x-vit

[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"

PhyllisH/Video_Description

PhyllisH/video_to_sequence

Implementation of "Sequence to Sequence – Video to Text"