122 citations · 572 across the 79 of their papers we have counts for
11 papers · 1 filter
Learnable Locality-Sensitive Hashing for Video Anomaly Detection
Yue Lu, Congqi Cao, Yanning Zhang
Video anomaly detection (VAD) mainly refers to identifying anomalous events that have not occurred in the training set where only normal samples are available. Existing works usual…
NAS-FCOS: Efficient Search for Object Detection Architectures
Ning Wang, Yang Gao, Hao Chen +4
Neural Architecture Search (NAS) has shown great potential in effectively reducing manual effort in network design by automatically discovering optimal architectures. What is notew…
Text-based Person Search in Full Images via Semantic-Driven Proposal Generation
Shizhou Zhang, De Cheng, Wenlong Luo +6
Finding target persons in full scene images with a query of text description has important practical applications in intelligent video surveillance.However, different from the real…
Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking
Jingxian Sun, Lichao Zhang, Yufei Zha +4
The target representation learned by convolutional neural networks plays an important role in Thermal Infrared (TIR) tracking. Currently, most of the top-performing TIR trackers ar…
Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network
Guoqiang Liang, Yanbing Lv, Shucheng Li +2
With the explosive growth of video data, video summarization, which attempts to seek the minimum subset of frames while still conveying the main story, has become one of the hottes…
Center Prediction Loss for Re-identification
Lu Yang, Yunlong Wang, Lingqiao Liu +5
The training loss function that enforces certain training sample distribution patterns plays a critical role in building a re-identification (ReID) system. Besides the basic requir…
Dynamic Image Restoration and Fusion Based on Dynamic Degradation
Aiqing Fang, Xinbo Zhao, Jiaqi Yang +1
The deep-learning-based image restoration and fusion methods have achieved remarkable results. However, the existing restoration and fusion methods paid little research attention t…
Efficient Spatialtemporal Context Modeling for Action Recognition
Congqi Cao, Yue Lu, Yifan Zhang +2
Contextual information plays an important role in action recognition. Local operations have difficulty to model the relation between two elements with a long-distance interval. How…
Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification
Lu Yang, Hongbang Liu, Jinghao Zhou +4
Learning cross-view consistent feature representation is the key for accurate vehicle Re-identification (ReID), since the visual appearance of vehicles changes significantly under…
Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance
Rui Li, Xiantuo He, Danna Xue +5
Self-supervised depth estimation has made a great success in learning depth from unlabeled image sequences. While the mappings between image and pixel-wise depth are well-studied i…
Non-uniform Motion Deblurring with Blurry Component Divided Guidance
Pei Wang, Wei Sun, Qingsen Yan +5
Blind image deblurring is a fundamental and challenging computer vision problem, which aims to recover both the blur kernel and the latent sharp image from only a blurry observatio…