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Activity Recognition In Videos

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/event-ahu/hardvs

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HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

https://github.com/fabienbaradel/glimpse_clouds

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Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points

https://github.com/facebookresearch/co-tracker

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CoTracker: It is Better to Track Together

https://github.com/fanglaosi/skeleton-in-context

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Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning

https://github.com/fau-is/next-best-action

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Prescriptive Business Process Monitoring for Recommending Next Best Actions

https://github.com/fau-is/xnap

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XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP

https://github.com/fcntes/indoordepth

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Deeper into Self-Supervised Monocular Indoor Depth Estimation

https://github.com/fengzicai/awesomewmad

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A Survey of World Models for Autonomous Driving

https://github.com/fengzicai/wmad-benchmarks

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A Survey of World Models for Autonomous Driving

https://github.com/fordcvresearch/fir-trajectory-prediction

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FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving

https://github.com/gaurav71531/spikeNetwork

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Data-driven Perception of Neuron Point Process with Unknown Unknowns

https://github.com/ghksdl6025/streaming_anomaly_detect

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The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection

https://github.com/google-research/google-research/tree/master/vct

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VCT: A Video Compression Transformer

https://github.com/google-research/zapbench

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ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish

https://github.com/google/next-prediction

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Peeking into the Future: Predicting Future Person Activities and Locations in Videos

https://github.com/guoweixu368/sld-hmp

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Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction

https://github.com/hkust-aerial-robotics/dsp

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Trajectory Prediction with Graph-based Dual-scale Context Fusion

https://github.com/hkust-aerial-robotics/simpl

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SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

https://github.com/hongsong-wang/PVRNN

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PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction

https://github.com/hvision-nku/storydiffusion

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StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

https://github.com/hwj20/apex_exp

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APEX: Empowering LLMs with Physics-Based Task Planning for Real-time Insight

https://github.com/hyqlat/ATACB

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Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic

https://github.com/hyqlat/tcl

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Temporal Continual Learning with Prior Compensation for Human Motion Prediction

https://github.com/hyunjs/sgt

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Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker

https://github.com/idiap/potr

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Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers

https://github.com/idruglab/adcnet

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ADCNet: a unified framework for predicting the activity of antibody-drug conjugates

https://github.com/jaakk0f/dstd-gcn

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Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction

https://github.com/jarrentwu1031/sc4d

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SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer

https://github.com/jasonwang959/stpmp

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Spatio-Temporal Branching for Motion Prediction using Motion Increments

https://github.com/jianzhou1212/interaction-safety-aware-motion-planning

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Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions

https://github.com/jiashunwang/MRT

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Multi-Person 3D Motion Prediction with Multi-Range Transformers

https://github.com/jiayouqin/h-splitter

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Motor Focus: Fast Ego-Motion Prediction for Assistive Visual Navigation

https://github.com/jiayuzou2020/diffbev

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DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception

https://github.com/jimmy-dq/dmt

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A Lightweight and Detector-free 3D Single Object Tracker on Point Clouds

https://github.com/joker3993/rlhgnn

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RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes

https://github.com/jonghyeonk/kb-modulation

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Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction

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