21 citations · 80 across the 18 of their papers we have counts for
18 papers
Local Compressed Video Stream Learning for Generic Event Boundary Detection
Libo Zhang, Xin Gu, Congcong Li +2
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…
Collaborative Three-Stream Transformers for Video Captioning
Hao Wang, Libo Zhang, Heng Fan +1
As the most critical components in a sentence, subject, predicate and object require special attention in the video captioning task. To implement this idea, we design a novel frame…
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…
AUGER: Automatically Generating Review Comments with Pre-training Models
Lingwei Li, Li Yang, Huaxi Jiang +5
Code review is one of the best practices as a powerful safeguard for software quality. In practice, senior or highly skilled reviewers inspect source code and provide constructive…
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…
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…
Learning to Infer User Hidden States for Online Sequential Advertising
Zhaoqing Peng, Junqi Jin, Lan Luo +11
To drive purchase in online advertising, it is of the advertiser's great interest to optimize the sequential advertising strategy whose performance and interpretability are both im…
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…
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…
Computing Lens for Exploring the Historical People's Social Network
Junjie Huang, Tiejian Luo
A typical social research topic is to figure out the influential people's relationship and its weights. It is very tedious for social scientists to solve those problems by studying…
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…