Xiao Wang（王逍）

Pedestrian-Attribute-Recognition-Paper-List. [Survey@Pattern Recognition] Paper list on Pedestrian Attribute Recognition (PAR) and related tasks (Pattern Recognition 2021)

Single_Object_Tracking_Paper_List. Paper list for single object tracking (State-of-the-art SOT trackers)

MultiModal_BigModels_Survey. [MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models

VisEvent_SOT_Benchmark. [IEEE TCYB 2023] The first large-scale tracking dataset by fusing RGB and Event cameras.

Cloth_Change_Person_reID_Paper_List. Paper collection for cloth variation based person re-identification

SNN_CV_Applications_Resources. Paper list for SNN based computer vision tasks.

Person-Search-Paper-List. The paper list for person search

TNL2K_evaluation_toolkit. Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark (CVPR 2021)

RGB-Thermal-Tracking-Paper-List. Paper collection of rgb-infrared tracking algorithms.

RGB-DVS-SOT-Baselines.

MFG_RGBT_Tracking_PyTorch. Official implementation of MFG-RGBT-Tracking with PyTorch, IEEE TMM 2022

Tracking-with-Deep-Reinforcement-Learning.

DeepMTA_PyTorch. Official implementation of deep-multi-trajectory-based single object tracking (IEEE T-CSVT 2021).

cmSalGAN_PyTorch. Official implementation of "cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks" (IEEE TMM 2020)

LGSearch_DDGAN_PyTorch. Tracking by Joint Local and Global Search: A Target-aware Attention based Approach (IEEE TNNLS 2021)

Spiking-Neural-Network-Paper-List. Paper list for Spiking Neural Networks (SNN)

Age-Progression-Regression-by-CAAE. the repaired code of paper "Age Progression/Regression by Conditional Adversarial Autoencoder---CVPR 2017"

caffe-video_triplet. Unsupervised Learning using Videos (ICCV 2015)

Dynamic-Memory-Network-Paper-List. The paper list of dynamic memory network

PET_Principles_and_Applications. Principles and Applications for Positron Emission Tomography (PET)

SiamDW_tracker_revised. Python

EVclouds_Classification_WACV2019. Recognize the Gesture for DVS sensors using Event Clound Method

NIPS14_Semi-supervised-Learning-with-Deep-Generative-Models. Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

event_utils. Collection of event based vision utility functions

MOT-Paper-List. The paper list for Multi-Object-Tracking

RoI_Pooling_PyTorch. A modified version of RoI Pooling function for proposal feature extractation.

Algo_Ds_Notes. It is a repository that is a collection of algorithms and data structures with implementation in various languages.

MultiModality_Spatial_registration_matlab. A toolkit for spatial registration of dual-modal data like rgb and thermal images

LSOTB-TIR. LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark (ACM MM2020)

kerlym. KEras Reinforcement Learning gYM agents

Deep-Metric-Learning-CVPR16. Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

Comparision. Compare performances of algorithms on Objcet Tracking Benchmarks (SOT/MOT...)

RAM-LPM-PyTorch. Recurrent Attention Model with Log-Polar Mapping (RAM-LPM)

Face-Aging-CAAE. Age Progression/Regression by Conditional Adversarial Autoencoder

Point-Transformers. Point Transformers

char-rnn. Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

wangxiao5791509.github.io. HTML

seq2seq-attention. Lua

ROLO. ROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking

mxnet. Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

STADB_ReID. Official implementation of "STADB: A Self-Thresholding Attention Guided ADB Network for Person Re-identification"

Homepage. Multi-Modal Intelligent Computing Group Homepage.

grid-lstm-tensorflow. Examples of using GridLSTM (and GridRNN in general) in tensorflow

detection-2016-nipsws. Hierarchical Object Detection with Deep Reinforcement Learning