Yousong Zhu

papers

428

total citations

papers (12)

Griffon: Spelling out All Object Locations at Any Granularity with Large Language Models

ECCV 2024arXiv

citations

Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring

ICCV 2025arXiv

citations

Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks

NEURIPS 2022arXiv

citations

PASS: Part-Aware Self-Supervised Pre-training for Person Re-identification

ECCV 2022arXiv

citations

C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection

CVPR 2022

citations

Large Batch Optimization for Object Detection: Training COCO in 12 Minutes

ECCV 2020

citations

FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation

NEURIPS 2025arXiv

citations

Self-Supervised Representation Learning from Arbitrary Scenarios

CVPR 2024

citations

Dual Super-Resolution Learning for Semantic Segmentation

CVPR 2020

citations

Yousong Zhu

papers (12)

MST: Masked Self-Supervised Transformer for Visual Representation

Adaptive Class Suppression Loss for Long-Tail Object Detection

UniVIP: A Unified Framework for Self-Supervised Visual Pre-Training

Griffon: Spelling out All Object Locations at Any Granularity with Large Language Models

Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring

Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks

PASS: Part-Aware Self-Supervised Pre-training for Person Re-identification

C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection

Large Batch Optimization for Object Detection: Training COCO in 12 Minutes

FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation

Self-Supervised Representation Learning from Arbitrary Scenarios

Dual Super-Resolution Learning for Semantic Segmentation

papers (12)

MST: Masked Self-Supervised Transformer for Visual Representation

Adaptive Class Suppression Loss for Long-Tail Object Detection

UniVIP: A Unified Framework for Self-Supervised Visual Pre-Training

Griffon: Spelling out All Object Locations at Any Granularity with Large Language Models

Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring

Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks

PASS: Part-Aware Self-Supervised Pre-training for Person Re-identification

C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection

Large Batch Optimization for Object Detection: Training COCO in 12 Minutes

FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation

Self-Supervised Representation Learning from Arbitrary Scenarios

Dual Super-Resolution Learning for Semantic Segmentation