78 citations · 237 across the 40 of their papers we have counts for
12 papers · 1 filter
The Runner-up Solution for YouTube-VIS Long Video Challenge 2022
Junfeng Wu, Yi Jiang, Qihao Liu +2
This technical report describes our 2nd-place solution for the ECCV 2022 YouTube-VIS Long Video Challenge. We adopt the previously proposed online video instance segmentation metho…
Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation
Tianyi Shi, Xiaohuan Ding, Wei Zhou +4
Vessel segmentation is crucial in many medical image applications, such as detecting coronary stenoses, retinal vessel diseases and brain aneurysms. However, achieving high pixel-w…
Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning
Jingqun Tang, Wenming Qian, Luchuan Song +3
Text detection and recognition are essential components of a modern OCR system. Most OCR approaches attempt to obtain accurate bounding boxes of text at the detection stage, which…
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition
Bohan Li, Ye Yuan, Dingkang Liang +5
Recently, most handwritten mathematical expression recognition (HMER) methods adopt the encoder-decoder networks, which directly predict the markup sequences from formula images wi…
In Defense of Online Models for Video Instance Segmentation
Junfeng Wu, Qihao Liu, Yi Jiang +3
In recent years, video instance segmentation (VIS) has been largely advanced by offline models, while online models gradually attracted less attention possibly due to their inferio…
CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer
Zijie Wu, Zhen Zhu, Junping Du +1
In this paper, we aim to devise a universally versatile style transfer method capable of performing artistic, photo-realistic, and video style transfer jointly, without seeing vide…
Vision-Language Pre-Training for Boosting Scene Text Detectors
Sibo Song, Jianqiang Wan, Zhibo Yang +4
Recently, vision-language joint representation learning has proven to be highly effective in various scenarios. In this paper, we specifically adapt vision-language joint learning…
An Empirical Study of End-to-End Temporal Action Detection
Xiaolong Liu, Song Bai, Xiang Bai
Temporal action detection (TAD) is an important yet challenging task in video understanding. It aims to simultaneously predict the semantic label and the temporal interval of every…
GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation
Shi Gong, Xiaoqing Ye, Xiao Tan +4
Birds-eye-view (BEV) semantic segmentation is critical for autonomous driving for its powerful spatial representation ability. It is challenging to estimate the BEV semantic maps f…
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection
Jingqun Tang, Wenqing Zhang, Hongye Liu +4
Recently, transformer-based methods have achieved promising progresses in object detection, as they can eliminate the post-processes like NMS and enrich the deep representations. H…
Comprehensive Benchmark Datasets for Amharic Scene Text Detection and Recognition
Wondimu Dikubab, Dingkang Liang, Minghui Liao +1
Ethiopic/Amharic script is one of the oldest African writing systems, which serves at least 23 languages (e.g., Amharic, Tigrinya) in East Africa for more than 120 million people.…
An End-to-End Transformer Model for Crowd Localization
Dingkang Liang, Wei Xu, Xiang Bai
Crowd localization, predicting head positions, is a more practical and high-level task than simply counting. Existing methods employ pseudo-bounding boxes or pre-designed localizat…