https://github.com/hkuds/videorag
공식 코드VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hkust-aerial-robotics/dsp
공식 코드Trajectory Prediction with Graph-based Dual-scale Context Fusion
https://github.com/hkust-aerial-robotics/simpl
공식 코드SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving
https://github.com/hlcdyy/pan-motion-retargeting
공식 코드Pose-aware Attention Network for Flexible Motion Retargeting by Body Part
https://github.com/hlchen23/verified
공식 코드VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding
https://github.com/hmkx/mv-hinerv
공식 코드Immersive Video Compression using Implicit Neural Representations
https://github.com/hmxiong/streamchat
공식 코드Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge
https://github.com/hoagyc/sparse_coding
공식 코드Sparse Autoencoders Find Highly Interpretable Features in Language Models
https://github.com/hoangnguyenm/bridle
공식 코드BRIDLE: Generalized Self-supervised Learning with Quantization
https://github.com/hoar012/tdc-video
공식 코드Multimodal Long Video Modeling Based on Temporal Dynamic Context
https://github.com/hoi4d/PPTr
공식 코드Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding
https://github.com/holi-lab/core
공식 코드https://github.com/holistic-video-understanding/HVU-Dataset
공식 코드https://github.com/holmdk/CloudCast
공식 코드CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds
https://github.com/holzbock/ped_env
공식 코드https://github.com/holzbock/st_mlp
공식 코드A Spatio-Temporal Multilayer Perceptron for Gesture Recognition
https://github.com/hongcheng-gao/haven
공식 코드https://github.com/hongje/hmmn
공식 코드Hierarchical Memory Matching Network for Video Object Segmentation
https://github.com/hongsong-wang/PVRNN
공식 코드PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction
https://github.com/hongyan1123/skeletonmae
공식 코드SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training
https://github.com/hotfinda/videomambapro
공식 코드https://github.com/house-leo/cfdvsr
공식 코드Collaborative Feedback Discriminative Propagation for Video Super-Resolution
https://github.com/house-leo/ctun
공식 코드Cascaded Temporal Updating Network for Efficient Video Super-Resolution
https://github.com/houshd/MLSTM-FCN
공식 코드https://github.com/houzhijian/cone
공식 코드CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
https://github.com/houzhijian/conquer
공식 코드CONQUER: Contextual Query-aware Ranking for Video Corpus Moment Retrieval
https://github.com/howardzh01/ppma
공식 코드Learning Human Action Recognition Representations Without Real Humans
https://github.com/hpcaitech/open-sora
공식 코드https://github.com/hqqasw/person-search-PPCC
공식 코드Person Search in Videos with One Portrait Through Visual and Temporal Links
https://github.com/hqqxyy/vfips
공식 코드https://github.com/hqucv/dmtrack
공식 코드Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy
https://github.com/hreynaud/dartagnan
공식 코드https://github.com/hreynaud/echonet-synthetic
공식 코드EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing
https://github.com/hritikbansal/talc
공식 코드TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation
https://github.com/hritikbansal/videocon
공식 코드VideoCon: Robust Video-Language Alignment via Contrast Captions
https://github.com/hrtang22/MUSE
공식 코드MUSE: Mamba is Efficient Multi-scale Learner for Text-video Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.