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Guanglu Song
Guanglu Song
22
papers
1,646
total citations
papers (22)
DETRs with Collaborative Hybrid Assignments Training
ICCV 2023
arXiv
537
citations
Revisiting the Sibling Head in Object Detector
CVPR 2020
arXiv
400
citations
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
CVPR 2024
arXiv
251
citations
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
NEURIPS 2023
arXiv
174
citations
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction
ICCV 2023
arXiv
56
citations
FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis
ECCV 2024
arXiv
51
citations
Self-Slimmed Vision Transformer
ECCV 2022
arXiv
46
citations
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance
CVPR 2024
arXiv
38
citations
Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection
ICCV 2023
arXiv
28
citations
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM
ICML 2025
arXiv
20
citations
Discriminability Distillation in Group Representation Learning
ECCV 2020
arXiv
18
citations
ZoLA: Zero-Shot Creative Long Animation Generation with Short Video Model
ECCV 2024
9
citations
MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines
ICLR 2025
7
citations
Towards Robust Face Recognition with Comprehensive Search
ECCV 2022
arXiv
5
citations
Unifying Visual Perception by Dispersible Points Learning
ECCV 2022
arXiv
3
citations
See Further When Clear: Curriculum Consistency Model
CVPR 2025
arXiv
3
citations
Switchable K-Class Hyperplanes for Noise-Robust Representation Learning
ICCV 2021
0
citations
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes
NEURIPS 2022
0
citations
"UniNet: Unified Architecture Search with Convolution, Transformer, and MLP"
ECCV 2022
0
citations
Rethinking Robust Representation Learning under Fine-Grained Noisy Faces
ECCV 2022
arXiv
0
citations
UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors
ICCV 2023
0
citations
Masked Autoencoders Are Stronger Knowledge Distillers
ICCV 2023
0
citations