Tianhe Ren

papers

4,093

total citations

papers (12)

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

ECCV 2024arXiv

3,440

citations

Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models

NEURIPS 2023arXiv

134

citations

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos

NEURIPS 2025arXiv

citations

Referring to Any Person

ICCV 2025arXiv

citations

TRAR: Routing the Attention Spans in Transformer for Visual Question Answering

ICCV 2021

citations

DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting

ICCV 2023arXiv

citations

Tianhe Ren

papers (12)

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models

LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models

Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach

T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

You Only Segment Once: Towards Real-Time Panoptic Segmentation

Detection Transformer with Stable Matching

Visual In-Context Prompting

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos

Referring to Any Person

TRAR: Routing the Attention Spans in Transformer for Visual Question Answering

DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting

papers (12)

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models

LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models

Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach

T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

You Only Segment Once: Towards Real-Time Panoptic Segmentation

Detection Transformer with Stable Matching

Visual In-Context Prompting

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos

Referring to Any Person

TRAR: Routing the Attention Spans in Transformer for Visual Question Answering

DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting