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Jing Shi

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

17

papers

630

total citations

papers (17)

InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning

Learning To Generate Scene Graph From Natural Language Supervision

Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models

Learning by Planning: Language-Guided Global Image Editing

Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals

NEURIPS 2020arXiv

FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity

FineMatch: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction

VIXEN: Visual Text Comparison Network for Image Difference Captioning

Visual Persona: Foundation Model for Full-Body Human Customization

Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters

Improving Large Vision and Language Models by Learning from a Panel of Peers

The Photographer's Eye: Teaching Multimodal Large Language Models to See, and Critique Like Photographers

Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism

A Simple Baseline for Weakly-Supervised Scene Graph Generation

SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Color Editing

DiffTell: A High-Quality Dataset for Describing Image Manipulation Changes

Yo’Chameleon: Personalized Vision and Language Generation