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

https://github.com/jiy173/MANA

공식 코드

Memory-Augmented Non-Local Attention for Video Super-Resolution

https://github.com/jiyanggao/CTAP

공식 코드

CTAP: Complementary Temporal Action Proposal Generation

https://github.com/jiyanggao/TURN-TAP

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TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals

https://github.com/jiyt17/prompt-a-video

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Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM

https://github.com/jjihwan/FIFO-Diffusion_public

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FIFO-Diffusion: Generating Infinite Videos from Text without Training

https://github.com/jmalves5/read-my-ears

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Read My Ears! Horse Ear Movement Detection for Equine Affective State Assessment

https://github.com/jnzs1836/era-vsum

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ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN

https://github.com/jnzs1836/intent-vizor

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IntentVizor: Towards Generic Query Guided Interactive Video Summarization

https://github.com/joe-siyuan-qiao/WeightStandardization

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Micro-Batch Training with Batch-Channel Normalization and Weight Standardization

https://github.com/joeleelyf/ovo-bench

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OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?

https://github.com/joez17/videoniah

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Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs

https://github.com/johannwyh/styleinv

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StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation

https://github.com/john-hewitt/model-editing-canonical-examples

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Model Editing with Canonical Examples

https://github.com/johncaged/vrope

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VRoPE: Rotary Position Embedding for Video Large Language Models

https://github.com/johnnychanv/JailbreakEdit

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Injecting Universal Jailbreak Backdoors into LLMs in Minutes

https://github.com/johnsonsign/mast-pre

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Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos

https://github.com/jojo23333/STPAN

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Learning Deformable Kernels for Image and Video Denoising

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/jometeorie/multihopshortcuts

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Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models

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

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

https://github.com/josephcao0327/stylefool

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StyleFool: Fooling Video Classification Systems via Style Transfer

https://github.com/josephtitan/freepca

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FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis

https://github.com/josephzpng/distime

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DisTime: Distribution-based Time Representation for Video Large Language Models

https://github.com/joshuaebenezer/avsync_study

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A subjective study of the perceptual acceptability of audio-video desynchronization in sports videos

https://github.com/joshuaebenezer/lbmfr-public

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Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-Bitrates

https://github.com/joslefaure/HERMES

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HERMES: temporal-coHERent long-forM understanding with Episodes and Semantics

https://github.com/joslefaure/hit

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Holistic Interaction Transformer Network for Action Detection

https://github.com/jovanavidenovic/dam4sam

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A Distractor-Aware Memory for Visual Object Tracking with SAM2

https://github.com/jp-lan/procontext

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ProContEXT: Exploring Progressive Context Transformer for Tracking

https://github.com/jpthu17/HBI

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Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

https://github.com/jpthu17/dicosa

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Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment

https://github.com/jpthu17/diffusionret

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DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

https://github.com/jpthu17/emcl

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Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

https://github.com/jqtangust/hawk

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Hawk: Learning to Understand Open-World Video Anomalies

https://github.com/jssprz/video_captioning_datasets

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A Comprehensive Review of the Video-to-Text Problem

https://github.com/jsun57/comusion

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CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion

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