1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nanjing UniversityCN486 papers
- University of Science and Technology of ChinaCN408 papers
- Tsinghua UniversityCN404 papers
- Peking UniversityCN401 papers
- Shanghai Jiao Tong UniversityCN383 papers
- Zhejiang UniversityCN380 papers
- University of Chinese Academy of SciencesCN369 papers
- Sun Yat-sen UniversityCN366 papers
- Institute of High Energy PhysicsCN364 papers
- Lanzhou UniversityCN358 papers
- Nanjing Normal UniversityCN358 papers
- Zhengzhou UniversityCN353 papers
135 papers · 1 filter
Data-Driven Vision-Language Models for Remote Sensing: A Survey
Yue Zhou, Shujun Zhao, Xue Yang +7
During the deep learning era, innovations in remote sensing (RS) vision models primarily focused on optimizing network architectures for specific tasks and conducting end-to-end tr…
WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation
Yulin Wang, Mengting Hu, Hongli Li +2
Real-world applications require 6D pose estimation to be accurate, fast, and scalable to unseen objects. This paper introduces WAPR, a zero-shot wide-angle pose refinement model th…
From Diffusion to Rectified Flow: Rethinking Text-Based Segmentation
Zishen Qu, Xuesong Li, Haijian Gu +5
Text-based image segmentation aims to delineate object boundaries within an image from text prompts, offering higher flexibility and broader application scope compared to tradition…
Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality
Danfeng Hong, Chenyu Li, Xuyang Li +2
Remote sensing (RS) techniques are increasingly crucial for deepening our understanding of the planet. As the volume and diversity of RS data continue to grow exponentially, there…
Temporal Consistency-Aware Text-to-Motion Generation
Hongsong Wang, Wenjing Yan, Qiuxia Lai +1
Text-to-Motion (T2M) generation aims to synthesize realistic human motion sequences from natural language descriptions. While two-stage frameworks leveraging discrete motion repres…
Decoupled Hierarchical Distillation for Multimodal Emotion Recognition
Yong Li, Yuanzhi Wang, Yi Ding +3
Human multimodal emotion recognition (MER) seeks to infer human emotions by integrating information from language, visual, and acoustic modalities. Although existing MER approaches…
UFO-DETR: Frequency-Guided End-to-End Detector for UAV Tiny Objects
Yuankai Chen, Kai Lin, Qihong Wu +6
Small target detection in UAV imagery faces significant challenges such as scale variations, dense distribution, and the dominance of small targets. Existing algorithms rely on man…
FluencyVE: Marrying Temporal-Aware Mamba with Bypass Attention for Video Editing
Mingshu Cai, Yixuan Li, Osamu Yoshie +1
Large-scale text-to-image diffusion models have achieved unprecedented success in image generation and editing. However, extending this success to video editing remains challenging…
Multimodal Skeleton-Based Action Representation Learning via Decomposition and Composition
Hongsong Wang, Heng Fei, Bingxuan Dai +1
Multimodal human action understanding is a significant problem in computer vision, with the central challenge being the effective utilization of the complementarity among diverse m…
Exploring Spatial-Temporal Representation via Star Graph for mmWave Radar-based Human Activity Recognition
Senhao Gao, Junqing Zhang, Luoyu Mei +2
Human activity recognition (HAR) requires extracting accurate spatial-temporal features with human movements. A mmWave radar point cloud-based HAR system suffers from sparsity and…
Gestura: A LVLM-Powered System Bridging Motion and Semantics for Real-Time Free-Form Gesture Understanding
Zhuoming Li, Aitong Liu, Mengxi Jia +5
Free-form gesture understanding is highly appealing for human-computer interaction, as it liberates users from the constraints of predefined gesture categories. However, the sole e…
Improving Generalized Visual Grounding with Instance-aware Joint Learning
Ming Dai, Wenxuan Cheng, Jiang-Jiang Liu +4
Generalized visual grounding tasks, including Generalized Referring Expression Comprehension (GREC) and Segmentation (GRES), extend the classical visual grounding paradigm by accom…
Efficient Diffusion-Based 3D Human Pose Estimation with Hierarchical Temporal Pruning
Yuquan Bi, Hongsong Wang, Xinli Shi +3
Diffusion models have demonstrated strong capabilities in generating high-fidelity 3D human poses, yet their iterative nature and multi-hypothesis requirements incur substantial co…
Probabilistic Temporal Masked Attention for Cross-view Online Action Detection
Liping Xie, Yang Tan, Shicheng Jing +2
As a critical task in video sequence classification within computer vision, Online Action Detection (OAD) has garnered significant attention. The sensitivity of mainstream OAD mode…
An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection
Shuvashis Sarker, Shamim Rahim Refat, Faika Fairuj Preotee +3
The brain is a highly complex organ that manages many important tasks, including movement, memory and thinking. Brain-related conditions, like tumors and degenerative disorders, ca…
Data-Free Class-Incremental Gesture Recognition with Prototype-Guided Pseudo Feature Replay
Hongsong Wang, Ao Sun, Jie Gui +1
Gesture recognition is an important research area in the field of computer vision. Most gesture recognition efforts focus on close-set scenarios, thereby limiting the capacity to e…
Enhancing Self-Supervised Fine-Grained Video Object Tracking with Dynamic Memory Prediction
Zihan Zhou, Changrui Dai, Aibo Song +1
Successful video analysis relies on accurate recognition of pixels across frames, and frame reconstruction methods based on video correspondence learning are popular due to their e…
ESCT3D: Efficient and Selectively Controllable Text-Driven 3D Content Generation with Gaussian Splatting
Huiqi Wu, Jianbo Mei, Yingjie Huang +4
In recent years, significant advancements have been made in text-driven 3D content generation. However, several challenges remain. In practical applications, users often provide ex…
VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification
Shamim Rahim Refat, Ziyan Shirin Raha, Shuvashis Sarker +4
Diabetic retinopathy is a severe eye condition caused by diabetes where the retinal blood vessels get damaged and can lead to vision loss and blindness if not treated. Early and ac…
Improving underwater semantic segmentation with underwater image quality attention and muti-scale aggregation attention
Xin Zuo, Jiaran Jiang, Jifeng Shen +1
Underwater image understanding is crucial for both submarine navigation and seabed exploration. However, the low illumination in underwater environments degrades the imaging qualit…
Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection
Yong Li, Menglin Liu, Zhen Cui +5
Despite the impressive performance of current vision-based facial action unit (AU) detection approaches, they are heavily susceptible to the variations across different domains and…
Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection
Yong Li, Yi Ren, Xuesong Niu +3
Facial Action Units (AUs) are essential for conveying psychological states and emotional expressions. While automatic AU detection systems leveraging deep learning have progressed,…
YOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multibranch Feature Interaction
Ziyu Lin, Yunfan Wu, Yuhang Ma +5
Traffic sign detection is essential for autonomous driving and Advanced Driver Assistance Systems (ADAS). However, existing methods struggle to address the challenges of poor image…
OptiPMB: Enhancing 3D Multi-Object Tracking with Optimized Poisson Multi-Bernoulli Filtering
Guanhua Ding, Yuxuan Xia, Runwei Guan +5
Accurate 3D multi-object tracking (MOT) is crucial for autonomous driving, as it enables robust perception, navigation, and planning in complex environments. While deep learning-ba…