3.2k citations · 4.7k across the 58 of their papers we have counts for
58 papers
SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection
Jinqing Zhang, Yanan Zhang, Qingjie Liu +1
Recently, the pure camera-based Bird's-Eye-View (BEV) perception provides a feasible solution for economical autonomous driving. However, the existing BEV-based multi-view 3D detec…
Learning Discriminative Representations for Skeleton Based Action Recognition
Huanyu Zhou, Qingjie Liu, Yunhong Wang
Human action recognition aims at classifying the category of human action from a segment of a video. Recently, people have dived into designing GCN-based models to extract features…
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Weilai Xiang, Hongyu Yang, Di Huang +1
Inspired by recent advances in diffusion models, which are reminiscent of denoising autoencoders, we investigate whether they can acquire discriminative representations for classif…
BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction
Mingming Zhang, Ye Du, Zhenghui Hu +2
Extracting building footprints from remote sensing images has been attracting extensive attention recently. Dominant approaches address this challenging problem by generating vecto…
An Empirical Study on Multi-Domain Robust Semantic Segmentation
Yajie Liu, Pu Ge, Qingjie Liu +2
How to effectively leverage the plentiful existing datasets to train a robust and high-performance model is of great significance for many practical applications. However, a model…
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Zhiyuan Zhao, Qingjie Liu, Yunhong Wang
Recently, few-shot object detection~(FSOD) has received much attention from the community, and many methods are proposed to address this problem from a knowledge transfer perspecti…
D: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos
Rui He, Zehua Fu, Qingjie Liu +2
Tracking multiple athletes in sports videos is a very challenging Multi-Object Tracking (MOT) task, since athletes often have the same appearance and are intimately covered with ea…
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles
Guodong Wang, Yunhong Wang, Jie Qin +3
Video Anomaly Detection (VAD) is an important topic in computer vision. Motivated by the recent advances in self-supervised learning, this paper addresses VAD by solving an intuiti…
SparseTT: Visual Tracking with Sparse Transformers
Zhihong Fu, Zehua Fu, Qingjie Liu +2
Transformers have been successfully applied to the visual tracking task and significantly promote tracking performance. The self-attention mechanism designed to model long-range de…
PanFormer: a Transformer Based Model for Pan-sharpening
Huanyu Zhou, Qingjie Liu, Yunhong Wang
Pan-sharpening aims at producing a high-resolution (HR) multi-spectral (MS) image from a low-resolution (LR) multi-spectral (MS) image and its corresponding panchromatic (PAN) imag…
RealGait: Gait Recognition for Person Re-Identification
Shaoxiong Zhang, Yunhong Wang, Tianrui Chai +2
Human gait is considered a unique biometric identifier which can be acquired in a covert manner at a distance. However, models trained on existing public domain gait datasets which…
Segmentation-Reconstruction-Guided Facial Image De-occlusion
Xiangnan Yin, Di Huang, Zehua Fu +2
Occlusions are very common in face images in the wild, leading to the degraded performance of face-related tasks. Although much effort has been devoted to removing occlusions from…
Will You Ever Become Popular? Learning to Predict Virality of Dance Clips
Jiahao Wang, Yunhong Wang, Nina Weng +4
Dance challenges are going viral in video communities like TikTok nowadays. Once a challenge becomes popular, thousands of short-form videos will be uploaded in merely a couple of…
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Ye Du, Zehua Fu, Qingjie Liu +1
Though image-level weakly supervised semantic segmentation (WSSS) has achieved great progress with Class Activation Maps (CAMs) as the cornerstone, the large supervision gap betwee…
Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening
Huanyu Zhou, Qingjie Liu, Dawei Weng +1
Deep learning based pan-sharpening has received significant research interest in recent years. Most of existing methods fall into the supervised learning framework in which they do…
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization
Huiqun Wang, Ruijie Yang, Di Huang +1
Differentiable ARchiTecture Search (DARTS) uses a continuous relaxation of network representation and dramatically accelerates Neural Architecture Search (NAS) by almost thousands…
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy
Ruikui Wang, Yuanfang Guo, Ruijie Yang +1
The transferability and robustness of adversarial examples are two practical yet important properties for black-box adversarial attacks. In this paper, we explore effective mechani…
Video Person Re-identification using Attribute-enhanced Features
Tianrui Chai, Zhiyuan Chen, Annan Li +3
Video-based person re-identification (Re-ID) which aims to associate people across non-overlapping cameras using surveillance video is a challenging task. Pedestrian attribute, suc…
Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning
Jiahao Wang, Yunhong Wang, Sheng Liu +1
Fine-grained action recognition is attracting increasing attention due to the emerging demand of specific action understanding in real-world applications, whereas the data of rare…
Silhouette based View embeddings for Gait Recognition under Multiple Views
Tianrui Chai, Xinyu Mei, Annan Li +1
Gait recognition under multiple views is an important computer vision and pattern recognition task. In the emerging convolutional neural network based approaches, the information o…
Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction
Xiangnan Yin, Di Huang, Zehua Fu +2
Although much progress has been made recently in 3D face reconstruction, most previous work has been devoted to predicting accurate and fine-grained 3D shapes. In contrast, relativ…
Pixel Sampling for Style Preserving Face Pose Editing
Xiangnan Yin, Di Huang, Hongyu Yang +3
The existing auto-encoder based face pose editing methods primarily focus on modeling the identity preserving ability during pose synthesis, but are less able to preserve the image…
Magnifying Subtle Facial Motions for Effective 4D Expression Recognition
Qingkai Zhen, Di Huang, Yunhong Wang +3
In this paper, an effective pipeline to automatic 4D Facial Expression Recognition (4D FER) is proposed. It combines two growing but disparate ideas in Computer Vision -- computing…
Visual Grounding with Transformers
Ye Du, Zehua Fu, Qingjie Liu +1
In this paper, we propose a transformer based approach for visual grounding. Unlike previous proposal-and-rank frameworks that rely heavily on pretrained object detectors or propos…