792 citations · 3.1k across the 112 of their papers we have counts for
15 papers · 1 filter
Visual-Language Prompt Tuning with Knowledge-guided Context Optimization
Hantao Yao, Rui Zhang, Changsheng Xu
Prompt tuning is an effective way to adapt the pre-trained visual-language model (VLM) to the downstream task using task-related textual tokens. Representative CoOp-based work comb…
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Mixue Xie, Shuang Li, Rui Zhang +1
Active domain adaptation (DA) aims to maximally boost the model adaptation on a new target domain by actively selecting limited target data to annotate, whereas traditional active…
Outpainting by Queries
Kai Yao, Penglei Gao, Xi Yang +3
Image outpainting, which is well studied with Convolution Neural Network (CNN) based framework, has recently drawn more attention in computer vision. However, CNNs rely on inherent…
Improving Transferability for Domain Adaptive Detection Transformers
Kaixiong Gong, Shuang Li, Shugang Li +3
DETR-style detectors stand out amongst in-domain scenarios, but their properties in domain shift settings are under-explored. This paper aims to build a simple but effective baseli…
Generalised Image Outpainting with U-Transformer
Penglei Gao, Xi Yang, Rui Zhang +4
In this paper, we develop a novel transformer-based generative adversarial neural network called U-Transformer for generalised image outpainting problem. Different from most presen…
Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark
Haopeng Li, Lingbo Liu, Kunlin Yang +5
Video crowd localization is a crucial yet challenging task, which aims to estimate exact locations of human heads in the given crowded videos. To model spatial-temporal dependencie…
CBHE: Corner-based Building Height Estimation for Complex Street Scene Images
Yunxiang Zhao, Jianzhong Qi, Rui Zhang
Building height estimation is important in many applications such as 3D city reconstruction, urban planning, and navigation. Recently, a new building height estimation method using…
Generative Adversarial Classifier for Handwriting Characters Super-Resolution
Zhuang Qian, Kaizhu Huang, Qiufeng Wang +2
Generative Adversarial Networks (GAN) receive great attentions recently due to its excellent performance in image generation, transformation, and super-resolution. However, GAN has…
Artwork Identification from Wearable Camera Images for Enhancing Experience of Museum Audiences
Rui Zhang, Yusuf Tas, Piotr Koniusz
Recommendation systems based on image recognition could prove a vital tool in enhancing the experience of museum audiences. However, for practical systems utilizing wearable camera…
A framework with updateable joint images re-ranking for Person Re-identification
Mingyue Yuan, Dong Yin, Jingwen Ding +4
Person re-identification plays an important role in realistic video surveillance with increasing demand for public safety. In this paper, we propose a novel framework with rules of…
Collaborative Learning for Weakly Supervised Object Detection
Jiajie Wang, Jiangchao Yao, Ya Zhang +1
Weakly supervised object detection has recently received much attention, since it only requires image-level labels instead of the bounding-box labels consumed in strongly supervise…
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond
Piotr Koniusz, Yusuf Tas, Hongguang Zhang +3
In this paper, we approach an open problem of artwork identification and propose a new dataset dubbed Open Museum Identification Challenge (Open MIC). It contains photos of exhibit…
Robust Tracking Using Region Proposal Networks
Jimmy Ren, Zhiyang Yu, Jianbo Liu +5
Recent advances in visual tracking showed that deep Convolutional Neural Networks (CNN) trained for image classification can be strong feature extractors for discriminative tracker…
Deep Structured Scene Parsing by Learning with Image Descriptions
Liang Lin, Guangrun Wang, Rui Zhang +3
This paper addresses a fundamental problem of scene understanding: How to parse the scene image into a structured configuration (i.e., a semantic object hierarchy with object inter…
Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification
Ruimao Zhang, Liang Lin, Rui Zhang +2
Extracting informative image features and learning effective approximate hashing functions are two crucial steps in image retrieval . Conventional methods often study these two ste…