yukang (yukang2017)

yukang2017

Geek Repo

Company:CUHK

Location:Hong Kong

Home Page:yukangchen.com

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Organizations
dvlab-research

yukang's repositories

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RENAS

Code of ImageNet training and evaluation for the paper: RENAS: Reinforced Evolutionary Neural Architecture Search

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NAS-quantization

The code for Joint Neural Architecture Search and Quantization

Pose-Mobile

A real-time posing app

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VoxelNeXt

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

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OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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AutoGPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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Awesome-BEV-Perception-Multi-Cameras

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird-Eye-View, such as DETR3D, BEVDet, BEVFormer

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Composition-Stable-Diffusion

Image Composition via Stable Diffusion

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DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

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EAT-NAS

EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search

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FCOS

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

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Grounded-Segment-Anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Speech Inputs

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GroundingDINO

The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

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LinK

[CVPR 2023] LinK: Linear Kernel for LiDAR-based 3D Perception

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LongBench

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

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Mask3D

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

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SparseKD

(NeurlPS 2022) Towards Efficient 3D Object Detection with Knowledge Distillation

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spconv

Spatial Sparse Convolution Library

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SPS-Conv

(NeurlPS 2022) Spatial Pruned Sparse Convolution for Efficient 3D Object Detection

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spvnas

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

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SST

Codes for “Fully Sparse 3D Object Detection” & “Embracing Single Stride 3D Object Detector with Sparse Transformer”

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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VILA

VILA - a multi-image visual language model with training, inference and evaluation recipe, deployable from cloud to edge (Jetson Orin and laptops)

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