216 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Northwestern Polytechnical UniversityCN4 papers
- University of Chinese Academy of SciencesCN3 papers
- Chinese Academy of SciencesCN2 papers
- Chinese University of Hong KongHK2 papers
- Institute of AutomationCN2 papers
- Institute of Information EngineeringCN2 papers
- ShanghaiTech UniversityCN2 papers
- Beijing Friendship HospitalCN1 paper
- Beijing University of TechnologyCN1 paper
- Capital Medical UniversityCN1 paper
- Carnegie Mellon UniversityUS1 paper
- Fudan UniversityCN1 paper
7 papers · 1 filter
InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention
Qiang Xiang, Shuang Sun, Binglei Li +6
Diffusion models have demonstrated remarkable capabilities in generating high-quality images. Recent advancements in Layout-to-Image (L2I) generation have leveraged positional cond…
From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding
Heqing Zou, Tianze Luo, Guiyang Xie +8
The integration of Large Language Models (LLMs) with visual encoders has recently shown promising performance in visual understanding tasks, leveraging their inherent capability to…
GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformer
Jinpeng Yu, Binbin Huang, Yuxuan Zhang +3
Point cloud completion aims to recover accurate global geometry and preserve fine-grained local details from partial point clouds. Conventional methods typically predict unseen poi…
HyCTAS: Multi-Objective Hybrid Convolution-Transformer Architecture Search for Real-Time Image Segmentation
Hongyuan Yu, Cheng Wan, Xiyang Dai +6
Real-time image segmentation demands architectures that preserve fine spatial detail while capturing global context under tight latency and memory budgets. Image segmentation is on…
Graph Structured Network for Image-Text Matching
Chunxiao Liu, Zhendong Mao, Tianzhu Zhang +3
Image-text matching has received growing interest since it bridges vision and language. The key challenge lies in how to learn correspondence between image and text. Existing works…
In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu, Yujun Shen, Deli Zhao +1
Recent work has shown that a variety of semantics emerge in the latent space of Generative Adversarial Networks (GANs) when being trained to synthesize images. However, it is diffi…
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
Xiangxiang Chu, Bo Zhang, Hailong Ma +2
Deep convolutional neural networks demonstrate impressive results in the super-resolution domain. A series of studies concentrate on improving peak signal noise ratio (PSNR) by usi…