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Guiguang Ding

Papers
22

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22papers

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22

YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception

arXiv 2025

2025

YOLOE: Real-Time Seeing Anything

ICCV 2025

2025

LSNet: See Large, Focus Small

CVPR 2025 1

2025

Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection

CVPR 2025 1

2025

FastVID: Dynamic Density Pruning for Fast Video Large Language Models

arXiv 2025

2025

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval

discovla-discrepancy-reduction-in-vision

2025

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval

arXiv 2024

2024

VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation

arXiv 2024

2024

PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation

arXiv 2024

2024

[CLS] Token Tells Everything Needed for Training-free Efficient MLLMs

arXiv 2024

2024

YOLOv10: Real-Time End-to-End Object Detection

arXiv 2024

2024

PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation

arXiv 2024

2024

Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence

arXiv 2024

2024

CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts

arXiv 2024

2024

MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts

arXiv 2024

2024

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models

arXiv 2024

2024

RepViT-SAM: Towards Real-Time Segmenting Anything

arXiv 2023

2023

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

CVPR 2022 1

2022

RepVGG: Making VGG-style ConvNets Great Again

CVPR 2021 1

2021

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

arXiv 2021

2021

Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans

arXiv 2021

2021

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

global-sparse-momentum-sgd-for-pruning-very-1

2019

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from 22 papers