activity
20142023
most citedAID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification

2.2k citations · 10.6k across the 92 of their papers we have counts for

collaborators
Showing 2020Show all

14 papers · 1 filter

cs.CV2020★ 4 cited

WDNet: Watermark-Decomposition Network for Visible Watermark Removal

Yang Liu, Zhen Zhu, Xiang Bai

Visible watermarks are widely-used in images to protect copyright ownership. Analyzing watermark removal helps to reinforce the anti-attack techniques in an adversarial way. Curren…

cs.CV2020★ 2 cited

Scene Text Detection with Scribble Lines

Wenqing Zhang, Yang Qiu, Minghui Liao +3

Scene text detection, which is one of the most popular topics in both academia and industry, can achieve remarkable performance with sufficient training data. However, the annotati…

cs.CV2020★ 5 cited

Multi-shot Temporal Event Localization: a Benchmark

Xiaolong Liu, Yao Hu, Song Bai +3

Current developments in temporal event or action localization usually target actions captured by a single camera. However, extensive events or actions in the wild may be captured a…

cs.CV2020★ 57 cited

Affinity Space Adaptation for Semantic Segmentation Across Domains

Wei Zhou, Yukang Wang, Jiajia Chu +3

Semantic segmentation with dense pixel-wise annotation has achieved excellent performance thanks to deep learning. However, the generalization of semantic segmentation in the wild…

cs.CV2020★ 9 cited

Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting

Minghui Liao, Guan Pang, Jing Huang +2

Recent end-to-end trainable methods for scene text spotting, integrating detection and recognition, showed much progress. However, most of the current arbitrary-shape scene text sp…

cs.CV2020★ 27 cited

EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection

Tengteng Huang, Zhe Liu, Xiwu Chen +1

In this paper, we aim at addressing two critical issues in the 3D detection task, including the exploitation of multiple sensors~(namely LiDAR point cloud and camera image), as wel…