https://github.com/nail-hnu/esvo2
공식 코드ESVO2: Direct Visual-Inertial Odometry with Stereo Event Cameras
Papers with Code 아카이브
Activity Recognition In Videos
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 1
- 보존된 평가 기록
- 1
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/necolizer/facial-prior-based-fomm
공식 코드Facial Prior Based First Order Motion Model for Micro-expression Generation
https://github.com/oliviazwy/dcgcn
공식 코드Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction
https://github.com/opendilab/smartrefine
공식 코드SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
https://github.com/opendrivelab/end-to-end-autonomous-driving
공식 코드https://github.com/openmotionlab/motiongpt
공식 코드https://github.com/p0werHu/articulated-objects-motion-prediction
공식 코드Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network
https://github.com/park-jungin/dualpath
공식 코드https://github.com/patrickrperrine/comp-choreo
공식 코드KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art
https://github.com/pedro-dm-gomes/agar
공식 코드AGAR: Attention Graph-RNN for Adaptative Motion Prediction of Point Clouds of Deformable Objects
https://github.com/pengxuanyang/uncad
공식 코드UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty
https://github.com/phil-bergmann/tracking_wo_bnw
공식 코드https://github.com/piergiaj/representation-flow-cvpr19
공식 코드https://github.com/purduedigitaltwin/seneva
공식 코드Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
https://github.com/pxiangwu/MotionNet
공식 코드https://github.com/qualityminds/cistgcn
공식 코드Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting
https://github.com/rana2149/actnetformer
공식 코드ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos
https://github.com/robinwangsd/diffusion-with-multi-modal-priors
공식 코드https://github.com/rocketappslab/bdmm
공식 코드Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
https://github.com/roggirg/AutoBots
공식 코드Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction
https://github.com/rose-stl-lab/mf-lal
공식 코드MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
https://github.com/rst-tu-dortmund/lord
공식 코드LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
https://github.com/saferoboticslab/sharp
공식 코드SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction
https://github.com/sainathadapa/spotify-sequential-skip-prediction
공식 코드Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction
https://github.com/sair-lab/physord
공식 코드PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving
https://github.com/sancarlim/densetnt-intent
공식 코드https://github.com/sancarlim/explainable-mp
공식 코드Towards Explainable Motion Prediction using Heterogeneous Graph Representations
https://github.com/sariahmghames/neurosym-prediction
공식 코드A Neuro-Symbolic Approach for Enhanced Human Motion Prediction
https://github.com/schmidt-ju/argoverse-navmap
공식 코드Exploring Navigation Maps for Learning-Based Motion Prediction
https://github.com/senakicir/keyposeprediction
공식 코드https://github.com/shifts-project/shifts
공식 코드Shifts 2.0: Extending The Dataset of Real Distributional Shifts
https://github.com/shuiliwanwu/ConvLstm-ultrasound-videos
공식 코드Predicting tongue motion in unlabeled ultrasound videos using convolutional LSTM neural network
https://github.com/sibotian96/TransFusion
공식 코드https://github.com/sirui-xu/stars
공식 코드Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors
https://github.com/skygoo2000/adm
공식 코드https://github.com/sotif-avlab/sind
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.