hou-yz

color_distillation

[CVPR 2020] "Learning to Structure an Image with Few Colors". Critical structure for network recognition. #explainable-ai

DA_visualization

[CVPR2021] "Visualizing Adapted Knowledge in Domain Transfer". Visualization for domain adaptation. #explainable-ai

DeepCC-local

DeepCC tracker with local-aware settings

dvgformer

Code for our paper: Learning Camera Movement Control from Real-World Drone Videos

MultiviewX

Toolkits for the synthetic multiview pedestrian detection dataset, MultiviewX.

MVDet

[ECCV 2020] Codes and MultiviewX dataset for "Multiview Detection with Feature Perspective Transformation".

MVDeTr

[ACM MM 2021] Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)

MVSelect

open-reid-tracking

open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included

pytorch-pruning-2step

2-stage pruning to favor distributed inference (local device compute half of the model, upload the feature for further computing on stronger devices or cloud).

hou-yz/MVDet

[ECCV 2020] Codes and MultiviewX dataset for "Multiview Detection with Feature Perspective Transformation".

hou-yz/open-reid-tracking

open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included

hou-yz/DA_visualization

[CVPR2021] "Visualizing Adapted Knowledge in Domain Transfer". Visualization for domain adaptation. #explainable-ai

hou-yz/color_distillation

[CVPR 2020] "Learning to Structure an Image with Few Colors". Critical structure for network recognition. #explainable-ai

hou-yz/MVDeTr

[ACM MM 2021] Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)

hou-yz/DeepCC-local

DeepCC tracker with local-aware settings

hou-yz/MultiviewX

Toolkits for the synthetic multiview pedestrian detection dataset, MultiviewX.

hou-yz/dvgformer

Code for our paper: Learning Camera Movement Control from Real-World Drone Videos

hou-yz/MVSelect

hou-yz/color_distillation_clustering

hou-yz/MVconfig

hou-yz/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

hou-yz/hou-yz.github.io

website

hou-yz/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

hou-yz/cartpole-rl-baselines

dqn & a2c implementations with pytorch on openai-gym cartpole

hou-yz/deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

hou-yz/dvgformer.github.io

hou-yz/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

hou-yz/FairMOT

A simple baseline for one-shot multi-object tracking

hou-yz/hou-yz

hou-yz/human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

hou-yz/Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

hou-yz/mmdetection

Open MMLab Detection Toolbox with PyTorch

hou-yz/mvtorch

a Pytorch library for multi-view 3D understanding and generation

hou-yz/openai_batch_inference

hou-yz/Pseudo-Q

[CVPR 2022] Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding

hou-yz/pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

hou-yz/pytorch-cifar

95.16% on CIFAR10 with PyTorch

hou-yz/PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

hou-yz/recurrent-visual-attention

A PyTorch Implementation of "Recurrent Models of Visual Attention"