216 citations · 1.9k across the 97 of their papers we have counts for
25 papers · 1 filter
Radio-Assisted Human Detection
Chengrun Qiu, Dongheng Zhang, Yang Hu +3
In this paper, we propose a radio-assisted human detection framework by incorporating radio information into the state-of-the-art detection methods, including anchor-based onestage…
Learning Token-based Representation for Image Retrieval
Hui Wu, Min Wang, Wengang Zhou +2
In image retrieval, deep local features learned in a data-driven manner have been demonstrated effective to improve retrieval performance. To realize efficient retrieval on large i…
Observing Interventions: A logic for thinking about experiments
Fausto Barbero, Katrin Schulz, Fernando R. Velázquez-Quesada +1
This paper makes a first step towards a logic of learning from experiments. For this, we investigate formal frameworks for modeling the interaction of causal and (qualitative) epis…
Contextual Similarity Aggregation with Self-attention for Visual Re-ranking
Jianbo Ouyang, Hui Wu, Min Wang +2
In content-based image retrieval, the first-round retrieval result by simple visual feature comparison may be unsatisfactory, which can be refined by visual re-ranking techniques.…
SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition
Hezhen Hu, Weichao Zhao, Wengang Zhou +2
Hand gesture serves as a critical role in sign language. Current deep-learning-based sign language recognition (SLR) methods may suffer insufficient interpretability and overfittin…
Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling
Yiheng Liu, Wengang Zhou, Qiaokang Xie +1
Existing unsupervised person re-identification methods only rely on visual clues to match pedestrians under different cameras. Since visual data is essentially susceptible to occlu…
DocScanner: Robust Document Image Rectification with Progressive Learning
Hao Feng, Wengang Zhou, Jiajun Deng +2
Compared with flatbed scanners, portable smartphones provide more convenience for physical document digitization. However, such digitized documents are often distorted due to uncon…
DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction
Hao Feng, Yuechen Wang, Wengang Zhou +2
In this work, we propose a new framework, called Document Image Transformer (DocTr), to address the issue of geometry and illumination distortion of the document images. Specifical…
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent
Weiming Liu, Huacong Jiang, Bin Li +1
Follow-the-Regularized-Lead (FTRL) and Online Mirror Descent (OMD) are regret minimization algorithms for Online Convex Optimization (OCO), they are mathematically elegant but less…
One-shot Key Information Extraction from Document with Deep Partial Graph Matching
Minghong Yao, Zhiguang Liu, Liangwei Wang +2
Automating the Key Information Extraction (KIE) from documents improves efficiency, productivity, and security in many industrial scenarios such as rapid indexing and archiving. Ma…
Learning Fine-Grained Motion Embedding for Landscape Animation
Hongwei Xue, Bei Liu, Huan Yang +3
In this paper we focus on landscape animation, which aims to generate time-lapse videos from a single landscape image. Motion is crucial for landscape animation as it determines ho…
Heredity-aware Child Face Image Generation with Latent Space Disentanglement
Xiao Cui, Wengang Zhou, Yang Hu +2
Generative adversarial networks have been widely used in image synthesis in recent years and the quality of the generated image has been greatly improved. However, the flexibility…
Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation
Weilun Wang, Wengang Zhou, Jianmin Bao +2
Contrastive learning shows great potential in unpaired image-to-image translation, but sometimes the translated results are in poor quality and the contents are not preserved consi…
Joint Inductive and Transductive Learning for Video Object Segmentation
Yunyao Mao, Ning Wang, Wengang Zhou +1
Semi-supervised video object segmentation is a task of segmenting the target object in a video sequence given only a mask annotation in the first frame. The limited information ava…
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection
Jiajun Deng, Wengang Zhou, Yanyong Zhang +1
As an emerging data modal with precise distance sensing, LiDAR point clouds have been placed great expectations on 3D scene understanding. However, point clouds are always sparsely…
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework
Zhen Huang, Xu Shen, Jun Xing +6
Knowledge Distillation (KD) is a popular technique to transfer knowledge from a teacher model or ensemble to a student model. Its success is generally attributed to the privileged…
Weakly Supervised Temporal Adjacent Network for Language Grounding
Yuechen Wang, Jiajun Deng, Wengang Zhou +1
Temporal language grounding (TLG) is a fundamental and challenging problem for vision and language understanding. Existing methods mainly focus on fully supervised setting with tem…
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training
Hongwei Xue, Yupan Huang, Bei Liu +4
Vision-Language Pre-training (VLP) aims to learn multi-modal representations from image-text pairs and serves for downstream vision-language tasks in a fine-tuning fashion. The dom…
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey
Yingjie Wang, Qiuyu Mao, Hanqi Zhu +5
In this survey, we first introduce the background of popular sensors used for self-driving, their data properties, and the corresponding object detection algorithms. Next, we discu…
Uformer: A General U-Shaped Transformer for Image Restoration
Zhendong Wang, Xiaodong Cun, Jianmin Bao +3
In this paper, we present Uformer, an effective and efficient Transformer-based architecture for image restoration, in which we build a hierarchical encoder-decoder network using t…
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task
Longhui Wei, Lingxi Xie, Wengang Zhou +2
Recently, self-supervised learning methods have achieved remarkable success in visual pre-training task. By simply pulling the different augmented views of each image together or o…
Improving Sign Language Translation with Monolingual Data by Sign Back-Translation
Hao Zhou, Wengang Zhou, Weizhen Qi +2
Despite existing pioneering works on sign language translation (SLT), there is a non-trivial obstacle, i.e., the limited quantity of parallel sign-text data. To tackle this paralle…
Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training
Chenyi Lei, Shixian Luo, Yong Liu +6
The pre-trained neural models have recently achieved impressive performances in understanding multimodal content. However, it is still very challenging to pre-train neural models f…
TransVG: End-to-End Visual Grounding with Transformers
Jiajun Deng, Zhengyuan Yang, Tianlang Chen +2
In this paper, we present a neat yet effective transformer-based framework for visual grounding, namely TransVG, to address the task of grounding a language query to the correspond…