1.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nankai UniversityCN185 papers
- Chinese Academy of SciencesCN114 papers
- National University of SingaporeSG63 papers
- Tsinghua UniversityCN53 papers
- University of Chinese Academy of SciencesCN50 papers
- Peking UniversityCN48 papers
- Nanyang Technological UniversitySG43 papers
- Centre National de la Recherche ScientifiqueFR39 papers
- University of Science and Technology of ChinaCN37 papers
- Peng Huanwu Center for Fundamental TheoryCN31 papers
- Beijing Normal UniversityCN29 papers
- Lanzhou UniversityCN29 papers
15 papers · 2 filters
Differential Alignment for Domain Adaptive Object Detection
Xinyu He, Xinhui Li, Xiaojie Guo
Domain adaptive object detection (DAOD) aims to generalize an object detector trained on labeled source-domain data to a target domain without annotations, the core principle of wh…
Multi-Level Correlation Network For Few-Shot Image Classification
Yunkai Dang, Min Zhang, Zhengyu Chen +4
Few-shot image classification(FSIC) aims to recognize novel classes given few labeled images from base classes. Recent works have achieved promising classification performance, esp…
Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion
Yiming Sun, Bing Cao, Pengfei Zhu +1
Infrared and visible image fusion aim to integrate modality strengths for visually enhanced, informative images. Visible imaging in real-world scenarios is susceptible to dynamic e…
Patch is Enough: Naturalistic Adversarial Patch against Vision-Language Pre-training Models
Dehong Kong, Siyuan Liang, Xiaopeng Zhu +2
Visual language pre-training (VLP) models have demonstrated significant success across various domains, yet they remain vulnerable to adversarial attacks. Addressing these adversar…
Towards Deconfounded Image-Text Matching with Causal Inference
Wenhui Li, Xinqi Su, Dan Song +3
Prior image-text matching methods have shown remarkable performance on many benchmark datasets, but most of them overlook the bias in the dataset, which exists in intra-modal and i…
Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning
Xuri Ge, Junchen Fu, Fuhai Chen +3
Facial action units (AUs), as defined in the Facial Action Coding System (FACS), have received significant research interest owing to their diverse range of applications in facial…
Semi-Supervised Pipe Video Temporal Defect Interval Localization
Zhu Huang, Gang Pan, Chao Kang +1
In sewer pipe Closed-Circuit Television (CCTV) inspection, accurate temporal defect localization is essential for effective defect classification, detection, segmentation and quant…
Enhancing Micro Gesture Recognition for Emotion Understanding via Context-aware Visual-Text Contrastive Learning
Deng Li, Bohao Xing, Xin Liu
Psychological studies have shown that Micro Gestures (MG) are closely linked to human emotions. MG-based emotion understanding has attracted much attention because it allows for em…
MarkPlugger: Generalizable Watermark Framework for Latent Diffusion Models without Retraining
Guokai Zhang, Lanjun Wang, Yuting Su +1
Today, the family of latent diffusion models (LDMs) has gained prominence for its high quality outputs and scalability. This has also raised security concerns on social media, as m…
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
Qiangguo Jin, Hui Cui, Changming Sun +5
Acquiring pixel-level annotations is often limited in applications such as histology studies that require domain expertise. Various semi-supervised learning approaches have been de…
Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations
Xinyu Xiong, Churan Wang, Wenxue Li +1
Accurate identification of breast masses is crucial in diagnosing breast cancer; however, it can be challenging due to their small size and being camouflaged in surrounding normal…
Effectiveness Assessment of Recent Large Vision-Language Models
Yao Jiang, Xinyu Yan, Ge-Peng Ji +5
The advent of large vision-language models (LVLMs) represents a remarkable advance in the quest for artificial general intelligence. However, the model's effectiveness in both spec…
Exploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A survey
Haruna Yunusa, Shiyin Qin, Abdulrahman Hamman Adama Chukkol +3
The hybrid of Convolutional Neural Network (CNN) and Vision Transformers (ViT) architectures has emerged as a groundbreaking approach, pushing the boundaries of computer vision (CV…
Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion
Shiyuan Yang, Liang Hou, Haibin Huang +5
Recent text-to-video diffusion models have achieved impressive progress. In practice, users often desire the ability to control object motion and camera movement independently for…
NeRF-AD: Neural Radiance Field with Attention-based Disentanglement for Talking Face Synthesis
Chongke Bi, Xiaoxing Liu, Zhilei Liu
Talking face synthesis driven by audio is one of the current research hotspots in the fields of multidimensional signal processing and multimedia. Neural Radiance Field (NeRF) has…