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

https://github.com/cg1177/dcan

공식 코드

DCAN: Improving Temporal Action Detection via Dual Context Aggregation

https://github.com/cg1177/videollm

공식 코드

VideoLLM: Modeling Video Sequence with Large Language Models

https://github.com/changchangsun/forget-vector

공식 코드

Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification

https://github.com/changsn/FlexDiT

공식 코드

FlexDiT: Dynamic Token Density Control for Diffusion Transformer

https://github.com/changsn/STViT-R

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Making Vision Transformers Efficient from A Token Sparsification View

https://github.com/chaofantao/autoregressive-models-in-vision-survey

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Autoregressive Models in Vision: A Survey

https://github.com/chaofengc/iqa-pytorch

공식 코드

TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment

https://github.com/chaoliu18/rplvc

공식 코드

Learned Video Compression with Residual Prediction and Loop Filter

https://github.com/chaoma99/sr-metric

공식 코드

Learning a No-Reference Quality Metric for Single-Image Super-Resolution

https://github.com/chaoyuaw/lvu

공식 코드

Towards Long-Form Video Understanding

https://github.com/charlesnchr/vsr-sim

공식 코드

Spatio-temporal Vision Transformer for Super-resolution Microscopy

https://github.com/charlotte-charmlab/fibottention

공식 코드

Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads

https://github.com/chen-si-jia/Trajectory-Long-tail-Distribution-for-MOT

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Delving into the Trajectory Long-tail Distribution for Muti-object Tracking

https://github.com/chengtan9907/OpenSTL

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Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning

https://github.com/chengtan9907/simvpv2

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SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning

https://github.com/chengxuduan/advhmp

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Physics-constrained Attack against Convolution-based Human Motion Prediction

https://github.com/chengyiliu-cs/generative-diffusion-models-on-graphs

공식 코드

Generative Diffusion Models on Graphs: Methods and Applications

https://github.com/chengyui/sumformer

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Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach

https://github.com/chenhaoxing/DeMamba

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DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark

https://github.com/chenhaoxing/etl4video

공식 코드

Efficient Transfer Learning for Video-language Foundation Models

https://github.com/chenhsing/svformer

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SVFormer: Semi-supervised Video Transformer for Action Recognition

https://github.com/chenhuihu/knowledge_in_superposition

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Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models

https://github.com/chenhuihu/wilke

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WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing

https://github.com/chenmientan/malmen

공식 코드

Massive Editing for Large Language Models via Meta Learning

https://github.com/chensong1995/deblursr

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DeblurSR: Event-Based Motion Deblurring Under the Spiking Representation

https://github.com/chenxin-dlut/TransT

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Transformer Tracking

https://github.com/chenyanglei/all-in-one-deflicker

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Blind Video Deflickering by Neural Filtering with a Flawed Atlas

https://github.com/chenyangqiqi/bsvd

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Real-time Streaming Video Denoising with Bidirectional Buffers

https://github.com/chenyangqiqi/fatezero

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FateZero: Fusing Attentions for Zero-shot Text-based Video Editing

https://github.com/chenyirui/gim

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GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization

https://github.com/chihyaoma/Activity-Recognition-with-CNN-and-RNN

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TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition

https://github.com/chinmay5/ms_ida

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Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

https://github.com/chinmayad/motiondescriptions

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Diving Deep into the Motion Representation of Video-Text Models

https://github.com/chiyich/egovsr

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EgoVSR: Towards High-Quality Egocentric Video Super-Resolution

https://github.com/choi58/mtcm

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Multi-Context Temporal Consistent Modeling for Referring Video Object Segmentation

https://github.com/christoschr97/misinf-detection-llms

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Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models

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