3 citations · 6 across the 12 of their papers we have counts for
12 papers
Task-Specific Data Augmentation and Inference Processing for VIPriors Instance Segmentation Challenge
Bo Yan, Xingran Zhao, Yadong Li +1
Instance segmentation is applied widely in image editing, image analysis and autonomous driving, etc. However, insufficient data is a common problem in practical applications. The…
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report
Andrey Ignatov, Radu Timofte, Jin Zhang +21
As mobile cameras with compact optics are unable to produce a strong bokeh effect, lots of interest is now devoted to deep learning-based solutions for this task. In this Mobile AI…
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding
Jianing Wang, Wenkang Huang, Qiuhui Shi +4
Knowledge-enhanced Pre-trained Language Model (PLM) has recently received significant attention, which aims to incorporate factual knowledge into PLMs. However, most existing metho…
Strong Instance Segmentation Pipeline for MMSports Challenge
Bo Yan, Fengliang Qi, Zhuang Li +2
The goal of ACM MMSports2022 DeepSportRadar Instance Segmentation Challenge is to tackle the segmentation of individual humans including players, coaches and referees on a basketba…
The Third Place Solution for CVPR2022 AVA Accessibility Vision and Autonomy Challenge
Bo Yan, Leilei Cao, Zhuang Li +1
The goal of AVA challenge is to provide vision-based benchmarks and methods relevant to accessibility. In this paper, we introduce the technical details of our submission to the CV…
Bilateral Network with Channel Splitting Network and Transformer for Thermal Image Super-Resolution
Bo Yan, Leilei Cao, Fengliang Qi +1
In recent years, the Thermal Image Super-Resolution (TISR) problem has become an attractive research topic. TISR would been used in a wide range of fields, including military, medi…
The Second Place Solution for The 4th Large-scale Video Object Segmentation Challenge--Track 3: Referring Video Object Segmentation
Leilei Cao, Zhuang Li, Bo Yan +4
The referring video object segmentation task (RVOS) aims to segment object instances in a given video referred by a language expression in all video frames. Due to the requirement…
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering
Jianing Wang, Chengyu Wang, Minghui Qiu +4
Extractive Question Answering (EQA) is one of the most important tasks in Machine Reading Comprehension (MRC), which can be solved by fine-tuning the span selecting heads of Pre-tr…
The MSXF TTS System for ICASSP 2022 ADD Challenge
Chunyong Yang, Pengfei Liu, Yanli Chen +2
This paper presents our MSXF TTS system for Task 3.1 of the Audio Deep Synthesis Detection (ADD) Challenge 2022. We use an end to end text to speech system, and add a constraint lo…
The Second Place Solution for ICCV2021 VIPriors Instance Segmentation Challenge
Bo Yan, Fengliang Qi, Leilei Cao +1
The Visual Inductive Priors(VIPriors) for Data-Efficient Computer Vision challenges ask competitors to train models from scratch in a data-deficient setting. In this paper, we intr…
Stronger Baseline for Person Re-Identification
Fengliang Qi, Bo Yan, Leilei Cao +1
Person re-identification (re-ID) aims to identify the same person of interest across non-overlapping capturing cameras, which plays an important role in visual surveillance applica…
TBN-ViT: Temporal Bilateral Network with Vision Transformer for Video Scene Parsing
Bo Yan, Leilei Cao, Hongbin Wang
Video scene parsing in the wild with diverse scenarios is a challenging and great significance task, especially with the rapid development of automatic driving technique. The datas…