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coding笔记：动态规划 08-05

coding笔记： acwing 1295 X的因子链 08-05

coding笔记： acwing 1296 聪明的燕姿 08-05

coding笔记：AcWing 1299 五指山 08-05

coding笔记： acwing 1303 斐波那契前 n 项和 08-05

coding笔记： acwing 3305 作物杂交 08-05

coding笔记： acwing二刷 08-05

coding笔记：二分算法 08-05

coding笔记：Acwing知识点总结 08-05

C++ 面向对象 08-05

C++标准库 08-05

C++基础 08-05

如何去练习竞赛性质的编程？ 08-05

coding笔记：问题空间搜索浅析 08-05

如何阅读问题并得到可行解 08-05

coding笔记：高精度加减乘除 08-05

coding笔记：快排的应用 08-05

coding笔记：KMP算法 08-05

coding笔记：快排算法 08-05

coding笔记：前缀和和差分 08-05

coding笔记：典型数据结构之数组模拟浅析 08-05

coding笔记：数论 08-05

coding笔记：最短路 08-05

coding笔记：树状数组和线段树 08-05

coding笔记：递归实现指数型枚举 08-05

coding笔记：贪心算法 08-05

华为开发者峰会报告提纲 08-05

西交智能基座报告讲稿 08-05

coding笔记： acwing 1226 包子凑数 08-05

华为开发者峰会报告讲稿 08-05

计网复习笔记 08-05

群体行为识别论文总结 08-05

论文阅读笔记：”Action Recognition by Dense Trajectories“ 08-05

论文阅读笔记：”Social GAN：Socially Acceptable Trajectories with Generative Adversarial Networks“ 08-05

论文阅读笔记：”Social LSTM：Human Trajectory Prediction in Crowded Spaces“ 08-05

论文阅读笔记：“From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting(ICCV 2021)” 08-05

论文阅读笔记：“Deep Temporal Linear Encoding Networks” 08-05

论文阅读笔记：“From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting(ICCV 2021)” 08-05

论文阅读笔记：“MoViNets： Mobile Video Networks for Effificient Video Recognition” 08-05

论文阅读笔记：“Is Space-Time Attention All You Need for Video Understanding” 08-05

论文阅读笔记：”Large-scale Video Classification with Convolutional Neural Networks“ 08-05

论文阅读笔记：“MobileNets：Efficient Convolutional Neural Networks for Mobile Vision Applications” 08-05

论文阅读笔记：“X3D：Expanding Architectures for Effificient Video Recognition” 08-05

论文阅读笔记：“Notes on Long-Term Temporal Convolutions for Action Recognition” 08-05

论文阅读笔记：“Aggregated Residual Transformations for Deep Neural Networks” 08-05

论文阅读笔记：“ AssembleNet++： Assembling Modality Representations via Attention Connections” 08-05

论文阅读笔记：“3D Convolutional Neural Networks for Human Action Recognition” 08-05

论文阅读笔记：“MobileNetV3：Searching for MobileNetV3” 08-05

论文阅读笔记：“Two-Stream Convolutional Networks for Action Recognition in Videos” 08-05

论文阅读笔记：“Dynamic Image Networks for Action Recognition” 08-05

论文阅读笔记：“Temporal Segment Networks： Towards Good Practices for Deep Action Recognition” 08-05

论文阅读笔记：“Convolutional Two-Stream Network Fusion for Video Action Recognition” 08-05

论文阅读笔记：“Learning Spatiotemporal Features with 3D Convolutional Networks” 08-05

论文阅读笔记：“A Hierarchical Deep Temporal Model for Group Activity Recognition” 08-05

论文阅读笔记：“TSM：Temporal Shift Module for Effificient Video Understanding” 08-05

论文阅读笔记：“MobileNetV2：Inverted Residuals and Linear Bottlenecks” 08-05

论文阅读笔记：“Real-world Anomaly Detection in Surveillance Videos” 08-05

论文阅读笔记：“Hierarchical Relational Networks for Group Activity Recognition and Retrieval” 08-05

论文阅读笔记：“Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks” 08-05

论文阅读笔记：“Non-local Neural Networks” 08-05

论文阅读笔记：“A Closer Look at Spatiotemporal Convolutions for Action Recognition” 08-05

论文阅读笔记：“Squeeze-and-Excitation Networks” 08-05

论文阅读笔记：“Attention Is All You Need” 08-05

08-05

论文阅读笔记：“Spatio-Temporal Dynamic Inference Network for Group Activity Recognition” 08-05

论文阅读笔记：“Actor-Transformers for Group Activity Recognition” 08-05

论文阅读笔记：“Dual-AI： Dual-path Actor Interaction Learning for Group Activity Recognition” 08-05

论文阅读笔记：“Learning Actor Relation Graphs for Group Activity Recognition” 08-05

论文阅读笔记：“GroupFormer： Group Activity Recognition with Clustered Spatial-Temporal Transformer” 08-05

论文阅读笔记：“Detecting events and key actors in multi-person videos” 08-05

论文阅读笔记：“Temporal Pyramid Network for Action Recognition” 08-05

论文阅读笔记：“ Spatial Transformer Networks” 08-05

论文阅读笔记：“VATT： Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text” 08-05

论文阅读笔记：“HiGCIN： Hierarchical Graph-based Cross Inference Network for Group Activity Recognition” 08-05

论文阅读笔记：“Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos” 08-05

论文阅读笔记：“Deformable Convolutional Networks” 08-05

论文阅读笔记：“Progressive Relation Learning for Group Activity Recognition” 08-05

论文阅读笔记：“Social Adaptive Module for Weakly-supervised Group Activity Recognition” 08-05

论文阅读笔记：“COMPOSER：Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality” 08-05

论文阅读笔记：“ActionVLAD：Learning spatio-temporal aggregation for action classification” 08-05

论文阅读笔记：“Spatiotemporal Multiplier Networks for Video Action Recognition” 08-05

论文阅读笔记：“Position-Aware Participation-Contributed Temporal Dynamic Model for Group Activity Recognition” 08-05

论文阅读笔记：“Empowering Relational Network by Self-Attention Augmented Conditional Random Fields for Group Activity Recognition（eccv 2020)” 08-05

论文阅读笔记：“Real-world Anomaly Detection in Surveillance Videos” 08-05

论文阅读笔记：“Hunting Group Clues with Transformers for Social Group Activity Recognition” 08-05

论文阅读笔记：“行为识别论文总结” 08-05

行为识别survey 08-05

健身入门 08-05

论文阅读笔记：“MGFN：Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection” 08-05

闲散小记-续 08-05

闲散小记 08-05

论文阅读笔记：“行为识别论文总结-续” 08-05

CSAPP笔记：Bits, Bytes and Integer01 08-05

CSAPP笔记：Bits, Bytes and Integer02 08-05

2023.4.26入舰苏醒日—目标锚定 08-05

CSAPP笔记：Network Programming 08-05

CSAPP笔记：Overview 08-05

CS106L笔记：Multi-threading 08-05

CS106L笔记：OOP 08-05

CS106L笔记：STL 08-05

CS106L笔记：Template Metaprogramming 08-05

MIT课程笔记： Notes on Missing semester 02 08-05

MIT课程笔记： Notes on Missing semester 01 08-05

MIT课程笔记： Notes on Missing semester 03 08-05

xv6笔记：chapt1 Operating system interfaces 08-05

xv6笔记：chapt2 Operating system organization 08-05

xv6笔记：chapt3 Page tables 08-05

MIT6.s081 lab2记录：编写系统调用 08-05

并行软件设计—以“通过流水线管道pipes对质数进行并行筛选”为例 08-05

MIT课程笔记： Notes on Missing semester 04 08-05

MIT6.s081 lab3记录：页表 08-05

MIT6.S081笔记：lecture 1 08-05

MIT6.S081笔记：lecture 2 introduce to C 08-05

MIT6.S081笔记：lecture 3 08-05

MIT6.S081笔记：lecture 5 08-05

MIT6.S081笔记：lecture 4 08-05

国产开源OS调研浅析：龙蜥，鸿蒙和欧拉 08-05

MIT6.S081 tips：常用工具 08-05

如何准备蓝桥杯？ 08-05

CS61A笔记 08-05

08-05

安装和使用龙蜥操作系统 08-05

scrum软件过程基础浅析 08-05

PA1项目心得记录 08-05

混合精度训练初探 08-05

pytorch多进程训练 08-05

多车辆行为识别及预测 08-05

08-05

vhr项目：学习记录1 08-05

跨域问题解决 08-05

AI-EARTH学习记录 08-05

08-05

linux笔记：静态库和动态库浅析 08-05

Pytorch Ligntning 轻量级框架浅析 08-05

08-05

基于知识图谱的开放域问答系统 08-05

docker内配置facebook pyslowfast环境 08-05

使用docker配置深度学习环境 08-05

setuptools入门 08-05

linux笔记： Makefile基础 08-05

第二章工作调研 06-01

论文实验 05-30

代码解构-改 05-18

代码解构 05-18

实验记录05.17.2023 05-17

实验记录05.09.2023 05-09

实验记录04.22.2023 04-22

论文阅读笔记：“Coherence Constrained Graph LSTM for Group Activity Recognition” 04-17

实验记录04.15.2023 04-15

实验记录04.08.2023 04-08

实验记录04.06.2023 04-06

实验记录04.03.2023 04-03

论文阅读笔记：“Masked Autoencoders As Spatiotemporal Learners” 03-13

论文阅读笔记：“Keeping Your Eye on the Ball” 03-13

论文阅读笔记：“TokenLearner：What Can 8 Learned Tokens Do for Images and Videos?（NIPS 2021)” 03-06

Composer代码问题记录 03-02