35 citations · 60 across the 8 of their papers we have counts for
8 papers
Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval
Chen Jiang, Kaiming Huang, Sifeng He +9
With the explosive growth of web videos in recent years, large-scale Content-Based Video Retrieval (CBVR) becomes increasingly essential in video filtering, recommendation, and cop…
Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval
Tan Pan, Furong Xu, Xudong Yang +7
Image retrieval plays an important role in the Internet world. Usually, the core parts of mainstream visual retrieval systems include an online service of the embedding model and a…
Web Photo Source Identification based on Neural Enhanced Camera Fingerprint
Feng Qian, Sifeng He, Honghao Huang +3
With the growing popularity of smartphone photography in recent years, web photos play an increasingly important role in all walks of life. Source camera identification of web phot…
TransVCL: Attention-enhanced Video Copy Localization Network with Flexible Supervision
Sifeng He, Yue He, Minlong Lu +6
Video copy localization aims to precisely localize all the copied segments within a pair of untrimmed videos in video retrieval applications. Previous methods typically start from…
DCVQE: A Hierarchical Transformer for Video Quality Assessment
Zutong Li, Lei Yang
The explosion of user-generated videos stimulates a great demand for no-reference video quality assessment (NR-VQA). Inspired by our observation on the actions of human annotation,…
Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
Jiankun Li, Peisen Wang, Pengfei Xiong +6
With the advent of convolutional neural networks, stereo matching algorithms have recently gained tremendous progress. However, it remains a great challenge to accurately extract d…
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos
Ailing Zeng, Lei Yang, Xuan Ju +3
When analyzing human motion videos, the output jitters from existing pose estimators are highly-unbalanced with varied estimation errors across frames. Most frames in a video are r…
iShape: A First Step Towards Irregular Shape Instance Segmentation
Lei Yang, Yan Zi Wei, Yisheng HE +4
In this paper, we introduce a brand new dataset to promote the study of instance segmentation for objects with irregular shapes. Our key observation is that though irregularly shap…