Search Results for author: Qi Jia

Found 17 papers, 11 papers with code

Reference-free Summarization Evaluation via Semantic Correlation and Compression Ratio

1 code implementation NAACL 2022 Yizhu Liu, Qi Jia, Kenny Zhu

In this paper, we propose a new automatic reference-free evaluation metric that compares semantic distribution between source document and summary by pretrained language models and considers summary compression ratio.

Pretrained Language Models

Length Control in Abstractive Summarization by Pretraining Information Selection

1 code implementation ACL 2022 Yizhu Liu, Qi Jia, Kenny Zhu

In this paper, we propose a length-aware attention mechanism (LAAM) to adapt the encoding of the source based on the desired length.

Abstractive Text Summarization

In-sample Curriculum Learning by Sequence Completion for Natural Language Generation

no code implementations21 Nov 2022 Qi Jia, Yizhu Liu, Haifeng Tang, Kenny Q. Zhu

Curriculum learning has shown promising improvements in multiple domains by training machine learning models from easy samples to hard ones.

Text Generation

Adjacent Slice Feature Guided 2.5D Network for Pulmonary Nodule Segmentation

no code implementations19 Nov 2022 Xinwei Xue, Gaoyu Wang, Long Ma, Qi Jia, Yi Wang

In this paper, we design an adjacent slice feature fusion model to introduce information from adjacent slices.

Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directions

no code implementations18 Oct 2022 Qi Jia, Siyu Ren, Yizhu Liu, Kenny Q. Zhu

Abstractive dialogue summarization is to generate a concise and fluent summary covering the salient information in a dialogue among two or more interlocutors.

Abstractive Dialogue Summarization Document Summarization

Post-Training Dialogue Summarization using Pseudo-Paraphrasing

1 code implementation Findings (NAACL) 2022 Qi Jia, Yizhu Liu, Haifeng Tang, Kenny Q. Zhu

Previous dialogue summarization techniques adapt large language models pretrained on the narrative text by injecting dialogue-specific features into the models.

Pretrained Language Models

Learning Weighting Map for Bit-Depth Expansion within a Rational Range

1 code implementation26 Apr 2022 Yuqing Liu, Qi Jia, Jian Zhang, Xin Fan, Shanshe Wang, Siwei Ma, Wen Gao

Existing BDE methods have no unified solution for various BDE situations, and directly learn a mapping for each pixel from LBD image to the desired value in HBD image, which may change the given high-order bits and lead to a huge deviation from the ground truth.


Cross-SRN: Structure-Preserving Super-Resolution Network with Cross Convolution

no code implementations5 Jan 2022 Yuqing Liu, Qi Jia, Xin Fan, Shanshe Wang, Siwei Ma, Wen Gao

It is challenging to restore low-resolution (LR) images to super-resolution (SR) images with correct and clear details.


Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way

1 code implementation CVPR 2022 Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, Zhongxuan Luo

To tackle camouflaged object detection (COD), we are inspired by humans attention coupled with the coarse-to-fine detection strategy, and thereby propose an iterative refinement framework, coined SegMaR, which integrates Segment, Magnify and Reiterate in a multi-stage detection fashion.

object-detection Object Detection

Multi-turn Response Selection using Dialogue Dependency Relations

1 code implementation EMNLP 2020 Qi Jia, Yizhu Liu, Siyu Ren, Kenny Q. Zhu, Haifeng Tang

In this paper, we propose a dialogue extraction algorithm to transform a dialogue history into threads based on their dependency relations.

Matching Questions and Answers in Dialogues from Online Forums

1 code implementation19 May 2020 Qi Jia, Mengxue Zhang, Shengyao Zhang, Kenny Q. Zhu

Matching question-answer relations between two turns in conversations is not only the first step in analyzing dialogue structures, but also valuable for training dialogue systems.

Sequential Dual Deep Learning with Shape and Texture Features for Sketch Recognition

no code implementations9 Aug 2017 Qi Jia, Meiyu Yu, Xin Fan, Haojie Li

We develop dual deep networks with memorable gated recurrent units (GRUs), and sequentially feed these two types of features into the dual networks, respectively.

Sketch Recognition

A Fast Ellipse Detector Using Projective Invariant Pruning

2 code implementations26 Aug 2016 Qi Jia, Xin Fan, Zhongxuan Luo, Lianbo Song, Tie Qiu

Detecting elliptical objects from an image is a central task in robot navigation and industrial diagnosis where the detection time is always a critical issue.

Robot Navigation

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