activity
20232026
most citedAffine-Consistent Transformer for Multi-Class Cell Nuclei Detection

2 citations · 2 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Generative World Simulation with DAO and JING

XGEN Team, Guohao Cai, Haoxuan Che +16

We present a Generative World Simulation framework that couples persistent shared world state with continuous first-person audiovisual generation. The framework integrates DAO, a c…

cs.CV2026

Weakly-Supervised Referring Video Object Segmentation through Text Supervision

Miaojing Shi, Jun Huang, Zijie Yue +1

Referring video object segmentation (RVOS) aims to segment the target instance in a video, referred by a text expression. Conventional approaches are mostly supervised learning, re…

cs.CV2026

SDesc3D: Towards Layout-Aware 3D Indoor Scene Generation from Short Descriptions

Jie Feng, Jiawei Shen, Junjia Huang +4

3D indoor scene generation conditioned on short textual descriptions provides a promising avenue for interactive 3D environment construction without the need for labor-intensive la…

cs.CV2026

DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior

Junjia Huang, Binbin Yang, Pengxiang Yan +6

Storyboard synthesis plays a crucial role in visual storytelling, aiming to generate coherent shot sequences that visually narrate cinematic events with consistent characters, scen…

cs.CV2025

DreamOmni3: Scribble-based Editing and Generation

Bin Xia, Bohao Peng, Jiyang Liu +8

Recently unified generation and editing models have achieved remarkable success with their impressive performance. These models rely mainly on text prompts for instruction-based ed…

cs.CV2025

DreamOmni2: Multimodal Instruction-based Editing and Generation

Bin Xia, Bohao Peng, Yuechen Zhang +10

Recent advancements in instruction-based image editing and subject-driven generation have garnered significant attention, yet both tasks still face limitations in meeting practical…

cs.CV2025

DreamFuse: Adaptive Image Fusion with Diffusion Transformer

Junjia Huang, Pengxiang Yan, Jiyang Liu +5

Image fusion seeks to seamlessly integrate foreground objects with background scenes, producing realistic and harmonious fused images. Unlike existing methods that directly insert…

cs.CV2025

DreamLayer: Simultaneous Multi-Layer Generation via Diffusion Mode

Junjia Huang, Pengxiang Yan, Jinhang Cai +5

Text-driven image generation using diffusion models has recently gained significant attention. To enable more flexible image manipulation and editing, recent research has expanded…

cs.CV2024

UniCell: Universal Cell Nucleus Classification via Prompt Learning

Junjia Huang, Haofeng Li, Xiang Wan +1

The recognition of multi-class cell nuclei can significantly facilitate the process of histopathological diagnosis. Numerous pathological datasets are currently available, but thei…

cs.CV2023

Prompt-based Grouping Transformer for Nucleus Detection and Classification

Junjia Huang, Haofeng Li, Weijun Sun +2

Automatic nuclei detection and classification can produce effective information for disease diagnosis. Most existing methods classify nuclei independently or do not make full use o…

cs.CV2023★ 2 cited

Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection

Junjia Huang, Haofeng Li, Xiang Wan +1

Multi-class cell nuclei detection is a fundamental prerequisite in the diagnosis of histopathology. It is critical to efficiently locate and identify cells with diverse morphology…