21 citations · 121 across the 23 of their papers we have counts for
23 papers · 1 filter
Unsupervised Domain Adaptive Detection with Network Stability Analysis
Wenzhang Zhou, Heng Fan, Tiejian Luo +1
Domain adaptive detection aims to improve the generality of a detector, learned from the labeled source domain, on the unlabeled target domain. In this work, drawing inspiration fr…
MaGIC: Multi-modality Guided Image Completion
Yongsheng Yu, Hao Wang, Tiejian Luo +2
Vanilla image completion approaches exhibit sensitivity to large missing regions, attributed to the limited availability of reference information for plausible generation. To mitig…
Text with Knowledge Graph Augmented Transformer for Video Captioning
Xin Gu, Guang Chen, Yufei Wang +3
Video captioning aims to describe the content of videos using natural language. Although significant progress has been made, there is still much room to improve the performance for…
Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment
Libo Zhang, Wenzhang Zhou, Heng Fan +2
Domain adaptive detection aims to improve the generalization of detectors on target domain. To reduce discrepancy in feature distributions between two domains, recent approaches ac…
High-Fidelity Image Inpainting with GAN Inversion
Yongsheng Yu, Libo Zhang, Heng Fan +1
Image inpainting seeks a semantically consistent way to recover the corrupted image in the light of its unmasked content. Previous approaches usually reuse the well-trained GAN as…
Unbiased Multi-Modality Guidance for Image Inpainting
Yongsheng Yu, Dawei Du, Libo Zhang +1
Image inpainting is an ill-posed problem to recover missing or damaged image content based on incomplete images with masks. Previous works usually predict the auxiliary structures…
AutoTransition: Learning to Recommend Video Transition Effects
Yaojie Shen, Libo Zhang, Kai Xu +1
Video transition effects are widely used in video editing to connect shots for creating cohesive and visually appealing videos. However, it is challenging for non-professionals to…
Dual-Stream Transformer for Generic Event Boundary Captioning
Xin Gu, Hanhua Ye, Guang Chen +3
This paper describes our champion solution for the CVPR2022 Generic Event Boundary Captioning (GEBC) competition. GEBC requires the captioning model to have a comprehension of inst…
Multi-Granularity Alignment Domain Adaptation for Object Detection
Wenzhang Zhou, Dawei Du, Libo Zhang +2
Domain adaptive object detection is challenging due to distinctive data distribution between source domain and target domain. In this paper, we propose a unified multi-granularity…
End-to-End Compressed Video Representation Learning for Generic Event Boundary Detection
Congcong Li, Xinyao Wang, Longyin Wen +3
Generic event boundary detection aims to localize the generic, taxonomy-free event boundaries that segment videos into chunks. Existing methods typically require video frames to be…
Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection
Renshuai Tao, Yanlu Wei, Xiangjian Jiang +6
Prohibited items detection in X-ray images often plays an important role in protecting public safety, which often deals with color-monotonous and luster-insufficient objects, resul…
Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark
Boying Wang, Libo Zhang, Longyin Wen +2
Automatic security inspection using computer vision technology is a challenging task in real-world scenarios due to various factors, including intra-class variance, class imbalance…
Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET)
Dexiang Hong, Congcong Li, Longyin Wen +2
This report presents the approach used in the submission of Generic Event Boundary Detection (GEBD) Challenge at CVPR21. In this work, we design a Cascaded Temporal Attention Netwo…
Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention Module
Yanlu Wei, Renshuai Tao, Zhangjie Wu +3
Security inspection often deals with a piece of baggage or suitcase where objects are heavily overlapped with each other, resulting in an unsatisfactory performance for prohibited…
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation
Congcong Li, Dawei Du, Libo Zhang +4
Unsupervised domain adaptation is critical in various computer vision tasks, such as object detection, instance segmentation, and semantic segmentation, which aims to alleviate per…
Rethinking Object Detection in Retail Stores
Yuanqiang Cai, Longyin Wen, Libo Zhang +2
The convention standard for object detection uses a bounding box to represent each individual object instance. However, it is not practical in the industry-relevant applications in…
SiamMan: Siamese Motion-aware Network for Visual Tracking
Wenzhang Zhou, Longyin Wen, Libo Zhang +3
In this paper, we present a novel siamese motion-aware network (SiamMan) for visual tracking, which consists of the siamese feature extraction subnetwork, followed by the classific…
Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction
Dan Liu, Libo Zhang, Tiejian Luo +2
The lack of interpretability of existing CNN-based hand detection methods makes it difficult to understand the rationale behind their predictions. In this paper, we propose a novel…
Learning Semantic Neural Tree for Human Parsing
Ruyi Ji, Dawei Du, Libo Zhang +5
The majority of existing human parsing methods formulate the task as semantic segmentation, which regard each semantic category equally and fail to exploit the intrinsic physiologi…
Guided Attention Network for Object Detection and Counting on Drones
Yuanqiang Cai, Dawei Du, Libo Zhang +4
Object detection and counting are related but challenging problems, especially for drone based scenes with small objects and cluttered background. In this paper, we propose a new G…
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
Ruyi Ji, Longyin Wen, Libo Zhang +5
Fine-grained visual categorization (FGVC) is an important but challenging task due to high intra-class variances and low inter-class variances caused by deformation, occlusion, ill…
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Dan Liu, Dawei Du, Libo Zhang +4
Existing hand detection methods usually follow the pipeline of multiple stages with high computation cost, i.e., feature extraction, region proposal, bounding box regression, and a…
Data Priming Network for Automatic Check-Out
Congcong Li, Dawei Du, Libo Zhang +5
Automatic Check-Out (ACO) receives increased interests in recent years. An important component of the ACO system is the visual item counting, which recognizes the categories and co…